Package 'rave'

Title: R Analysis and Visualization of 'ECOG/iEEG' Data
Description: R Analysis and Visualization of 'ECOG/iEEG' Data RAVE provides cross-platform analysis and visualizations for neuroscience 'ECoG/iEEG' data by "just clicking buttons". This package include: (a) pre-processing of 'ECoG/iEEG' raw data into 'HDF5' format (a cross-platform data format that can be used for R, Matlab, Python, Java and C/C++); (b) 'ECoG/iEEG' epoch and visualizations in real time; (c) Users can write customized analysis as R packages and easily insert into RAVE for interactive visualizations. (d) 3D viewers driven by 'WebGL'.
Authors: Zhengjia Wang [cph, aut, cre], John Magnotti [aut], Michael S. Beauchamp [aut, fnd], Beauchamp lab [cph, fnd]
Maintainer: Zhengjia Wang <[email protected]>
License: GPL-3
Version: 1.0.3.3
Built: 2024-06-15 07:24:39 UTC
Source: https://github.com/beauchamplab/rave

Help Index


Function to check if data repository has data

Description

Function to check if data repository has data

Usage

any_subject_loaded(rave_data = getDefaultDataRepository())

Arguments

rave_data

internally used


Archive Subject into Zipped file

Description

Save subject data, including brain imaging files into a zipped file. Notice this function does not guarantee every file is in. Please always double check what's inside.

Usage

archive_subject(
  project_name,
  subject_code,
  include_cache = FALSE,
  include_fs = TRUE,
  include_raw = FALSE,
  save_to = tempdir()
)

Arguments

project_name

project name

subject_code

subject code

include_cache

whether to include cache for faster loading. Default is false

include_fs

whether to include 'FreeSurfer' and 'AFNI/SUMA' files

include_raw

whether to include raw data

save_to

directory to save file to


Initialize data repository

Description

Initialize data repository

Usage

arrange_data_dir(first_time = FALSE, reset = FALSE)

Arguments

first_time

will create data repositories for you

reset

reset to default data directory


Update (optional), and check validity of modules

Description

Update (optional), and check validity of modules

Usage

arrange_modules(refresh = FALSE, reset = FALSE, quiet = FALSE)

Arguments

refresh

check and updates file

reset

same as first_time, check module updates, ignored

quiet

no overwrite messages


Make new subject object from character

Description

Make new subject object from character

Usage

as_subject(subject, strict = TRUE, reference = "default")

Arguments

subject

characters in format "project/subject"

strict

logical indication whether preprocess folder is needed

reference

what reference file the subject is using


Attach subject data

Description

Attach subject data

Usage

attachDefaultDataRepository(
  unload = TRUE,
  rave_data = getDefaultDataRepository()
)

Arguments

unload

TRUE if you want to detach

rave_data

internally used


Baseline signals

Description

Baseline signals

Usage

baseline(
  el,
  from,
  to,
  method = "mean",
  unit = "%",
  data_only = FALSE,
  hybrid = TRUE,
  swap_file = tempfile(),
  mem_optimize = TRUE,
  same_dimension = unit %in% c("%", "dB"),
  preop = NULL,
  op,
  data_env = getDefaultDataRepository()
)

Arguments

el

Tensor or ECoGTensor object

from

baseline start time

to

baseline end time

method

mean or median, default is mean

unit

"%" percent signal change or "dB" decibel unit

data_only

return array or tensor object?

hybrid

if return tensor object, swap cache? useful for large dataset

swap_file

by default tempfile(), or you can specify path

mem_optimize

optimize for large dataset? default is TRUE

same_dimension

logical, true if op is element-wise operator

preop

function before baseline

op

function for baseline

data_env

internally used


Import Subject "Matlab" File and Create "HDF5" files

Description

Import Subject "Matlab" File and Create "HDF5" files

Usage

cache_raw_voltage(project_name, subject_code, blocks, electrodes, ...)

Arguments

project_name

project name

subject_code

subject code

blocks

blocks to be imported

electrodes

to be imported (please check file existence before calling this function)

...

ignored


Check if default data environment has object

Description

Check if default data environment has object

Usage

check_data_repo(
  var = c("subject"),
  any = FALSE,
  data_repo = getDefaultDataRepository()
)

Arguments

var

variable name

any

whether all variables should be present of any variables should exist

data_repo

internally used

Value

Logical TRUE or FALSE indicating the existence of the variables


Check and Install RAVE Dependencies

Description

Check and Install RAVE Dependencies

Usage

check_dependencies(
  update_rave = TRUE,
  restart = TRUE,
  nightly = FALSE,
  demo_data = FALSE,
  ...
)

Arguments

update_rave

logical, whether to update RAVE

restart

logical, whether to restart 'RStudio' after installation

nightly

logical, whether to install develop version

demo_data

logical, whether to check demo data

...

for compatibility purpose, ignored


Check if epoch file is valid

Description

Check if epoch file is valid

Usage

check_epoch(subject, epoch_name)

Arguments

subject

subject object or string

epoch_name

epoch name to check


Complete validity check a RAVE subject

Description

Complete validity check a RAVE subject

Usage

check_subject(subject, stop_on_error = FALSE)

Arguments

subject

character, must be "project/subject" format

stop_on_error

logical, whether stop when error occurs

Value

None


check subject validity tools (use check_subjects2)

Description

check subject validity tools (use check_subjects2)

Usage

check_subjects_old(
  project_name,
  subject_code,
  check = TRUE,
  folders = c("Subject Folder", "RAVE Folder", "Preprocessing Folder", "Meta Folder",
    "Channel Folder"),
  preprocess = c("Started Preprocess", "Notch Filter", "Wavelet"),
  Meta = c("Electrode File", "Time point File", "Frequency File", "Epoch File")
)

Arguments

project_name

project_name

subject_code

subject_code

check

check is internally used

folders

folders to check

preprocess

preprocess to check

Meta

Meta to check


check subject validity tools

Description

check subject validity tools

Usage

check_subjects2(project_name, subject_code, quiet = FALSE)

Arguments

project_name

project_name

subject_code

subject_code

quiet

logical


Create local cache to speed up loading speed

Description

Create local cache to speed up loading speed

Usage

create_local_cache(project_name, subject_code, epoch, time_range)

Arguments

project_name

project name

subject_code

subject code

epoch

epoch name

time_range

time range to cache


Customized Shiny Elements

Description

Customized Shiny Elements

Usage

customizedUI(inputId, width = 12L, ...)

Arguments

inputId

character, input id

width

integer from 1-12

...

passed to uiOutput


Decimate or Down-sample a Signal using FIR Filters

Description

Decimate or Down-sample a Signal using FIR Filters

Usage

decimate_fir(x, q, n = 30)

Arguments

x

signal to be decimated

q

integer factor to decimated by

n

filter order used for down-sample procedure, default is 30

Value

Down-sampled signal


Defines 'RAVE' Module Initialization Defines the global variables for the module. Called along with define_input to define UI initialization actions once a subject is loaded.

Description

Defines 'RAVE' Module Initialization Defines the global variables for the module. Called along with define_input to define UI initialization actions once a subject is loaded.

Usage

define_initialization(expr)

## Default S3 method:
define_initialization(expr)

## S3 method for class 'rave_module_debug'
define_initialization(expr)

## S3 method for class 'rave_running'
define_initialization(expr)

## S3 method for class 'rave_running_local'
define_initialization(expr)

Arguments

expr

R expression to run after subject is loaded

Value

None

Examples

## Not run: 
# Requires to install R package beauchamplab/ravebuiltins

# Enable debug mode
ravebuiltins::dev_ravebuiltins(reload = FALSE)
# Check data
define_initialization({
  rave_checks('power')
  power <- module_tools$get_power(referenced = TRUE)
})


# Initialize global variables for modules
ravebuiltins::dev_ravebuiltins(reload = FALSE)
define_initialization({
  print(subject$info())
  time_points = preload_info$time_points
})
define_input(
  shiny::sliderInput('time_range', 'Time-Range', min=0, 
                     max=1, value = c(0,1)),
  init_args = c('min', 'max', 'value'),
  init_expr = {
    min = min(time_points)
    max = max(time_points)
    value = c(0, max)
  }
)

## End(Not run)

Defines 'RAVE' Module Inputs

Description

Defines 'RAVE' Module Inputs

Usage

define_input(
  definition,
  init_args,
  init_expr,
  keyword = "inputId",
  update_level = 2,
  ...
)

## Default S3 method:
define_input(
  definition,
  init_args,
  init_expr,
  keyword = "inputId",
  update_level = 2,
  ...
)

## S3 method for class 'rave_module_debug'
define_input(definition, init_args, init_expr, ...)

## S3 method for class 'rave_running_local'
define_input(
  definition,
  init_args,
  init_expr,
  keyword = "inputId",
  update_level = 2,
  ...
)

## S3 method for class 'rave_running'
define_input(
  definition,
  init_args,
  init_expr,
  keyword = "inputId",
  update_level = 2,
  ...
)

Arguments

definition

R expression to define UI elements without ns(), for example, textInput('varname', 'Label', ...)

init_args

arguments to change once a subject is loaded

init_expr

expression to evaluate with subject loaded

keyword

what identifies the input element

update_level

update action code: see details.

...

ignored or passed to other methods.

Details

This function behaves differently in different contexts. By default, it returns the result of definition. When debugging modules ( "rave_module_debug"), it assigns a variable to the global environment with the variable name defined as input ID. In other contexts it parse the definition and returns a list for 'RAVE' to use internally to compile the module.

If update_level is '0' then the input is defined as manual inputs, which will not trigger re-calculate if changed. If '1' is set, then the input is a render's input, and only update render functions. If '2' is used, then once user change an input, then the whole module is re-calculated.

init_args must be argument names of the definition. Once subject is loaded, init_expr will be evaluated in a local environment, then variables in init_args will be used to update the input widgets.

Value

See details


Define 'RAVE' Module Output

Description

Define 'RAVE' Module Output

Usage

define_output(
  definition,
  title = "",
  width = 12L,
  order = Inf,
  keyword = "outputId",
  ...
)

## Default S3 method:
define_output(
  definition,
  title = "",
  width = 12L,
  order = Inf,
  keyword = "outputId",
  ...
)

Arguments

definition

R expression of output, such as plotOutput('out')

title

Title to show

width

integer from 1 to 12, similar to "width" in column

order

the order of output, smaller order will be displayed first

keyword

keyword for the output ID

...

ignored or passed to other methods

Value

In default or debug context, it returns HTML tags, but when 'RAVE' is running, the result will be parse list for internal use.


Check all packages to for new RAVE module packages

Description

Check all packages to for new RAVE module packages

Usage

detect_modules(packages, as_module = TRUE, ...)

Arguments

packages

array of packages to search for, default is all packages

as_module

logical, try to return module instances or just a list of modules

...

ignored for compatibility purpose


Plot and Inspect Signals in Trace, Periodogram, and Histogram

Description

Plot and Inspect Signals in Trace, Periodogram, and Histogram

Usage

diagnose_signal(
  s1,
  s2 = NULL,
  sc = NULL,
  srate,
  name = "",
  try_compress = TRUE,
  max_freq = 300,
  window = ceiling(srate * 2),
  noverlap = window/2,
  std = 3,
  cex = 1.5,
  lwd = 0.5,
  flim = NULL,
  nclass = 100,
  main = "Channel Inspection",
  col = c("black", "red"),
  which = NULL,
  start_time = 0,
  boundary = NULL,
  mar = c(5.2, 5.1, 4.1, 2.1),
  ...
)

Arguments

s1

Signal for inspection

s2

Signal to compare, default NULL

sc

compressed signal to speedup the trace plot, if not provided, then either the original s1 is used, or a compressed version will be used. See parameter try_compress.

srate

Sample rate of s1, note that s2 and s1 must have the same sample rate

name

Analysis name, for e.g. "CAR", "Notch", etc.

try_compress

If length of s1 is too large, it might take long to draw trace plot, my solution is to down-sample s1 first (like what Matlab does), and then plot the compressed signal. Some information will be lost during this process, however, the trade-off is the speed. try_compress=FALSE indicates that you don't want to compress signals under any situation (this might be slow).

max_freq

Max frequency to plot, should be no larger than half of the sampling rate.

window

Window length to draw the Periodogram

noverlap

Number of data points that each adjacent windows overlap

std

Error bar (red line) be drawn at standard deviations, by default is 3, meaning the error bars represent 3 standard deviations.

cex, lwd, mar, ...

passed to plot.default

flim

log10 of frequency range to plot

nclass

Number of classes for histogram

main

Plot title

col

Color for two signals, length of 2.

which

Which sub-plot to plot

start_time

When does signal starts

boundary

Boundary for signal plot, default is 1 standard deviation

Examples

library(stats)
time <- seq(0, 100, by = 1/200)
s2 <- sin(2 * pi * 60 * time) + rnorm(length(time))
diagnose_signal(s2, srate = 200)

# Apply notch filter
s1 = notch_filter(s2, 200, 58,62)
diagnose_signal(s1, s2, srate = 200)

Function to download demo data to data repository

Description

Function to download demo data to data repository

Usage

download_sample_data(subject, version = "v0.1.8-beta", ...)

Arguments

subject

demo subject

version

rave release version

...

other parameters passed to download_subject_data

Value

Nothing


Function to download subjects from internet/local

Description

Function to download subjects from internet/local

Usage

download_subject_data(
  con,
  replace_if_exists = FALSE,
  override_project = NULL,
  override_subject = NULL,
  temp_dir = tempdir(),
  remove_zipfile = TRUE,
  subject_settings = NULL,
  mode = "wb",
  ...
)

Arguments

con

an url or local file path

replace_if_exists

Automatically replace current subject if subject files exist (default FALSE)

override_project

if not null, project will be renamed to this value

override_subject

if not null, subject will be renamed to this value

temp_dir

temp directory to store downloaded zip files and extracted files

remove_zipfile

clear downloaded zip files? if con is local file, this will be forced to FALSE

subject_settings

override "subject.yaml" see details

mode, ...

passed to download.file

Details

Each downloaded zip file should have a "subject.yaml" file indicating default project name, subject code, data directory and raw data directory.

If you want to override subject settings, you need to implement your own subject_settings. See examples.

Examples

## Not run: 
# Normal example
download.file(
  'https://s3-us-west-2.amazonaws.com/rave-demo-subject/sfn-demo/data-large.zip',
  destfile = "~/rave_data/data-small.zip", mode = "wb")
download_subject_data(con = "~/rave_data/data-small.zip")

# or the following
# download_subject_data(
# 'https://s3-us-west-2.amazonaws.com/rave-demo-subject/sfn-demo/data-large.zip'
# )

# rename project to demo_junk
download_subject_data(con = "~/rave_data/data-small.zip",
           override_project = 'demo_junk')

# override settings
download_subject_data(
  con = "~/rave_data/data-small.zip",
  subject_settings = list(
    # subject conf
    'demo_project/demo_subject' = list(
      data_dir = 'data 2/data_dir/demo/sub1',
      raw_dir = 'data 2/raw_dir/sub1'
    )
  )
)

## End(Not run)

R6 class for iEEG/ECoG data Repository

Description

A repository to keep subject information, including electrode instances, reference information, epoch data, and offers method to epoch data.

Public fields

subject

Subject instance

raw

dictionary to store Electrode instances

reference

dictionary to store references for electrodes

epochs

dictionary to store epoch data

raw_volt

environment, stores pre-referenced analog traces

raw_power

environment, stores pre-referenced power spectrum

raw_phase

environment, stores pre-referenced phase data

volt

environment, stores referenced analog traces

power

environment, stores referenced power spectrum

phase

environment, stores referenced phase data

Methods

Public methods


Method info()

obtain the information

Usage
ECoGRepository$info(print = TRUE)
Arguments
print

logical, whether to print the information, default is true

Returns

character of the information


Method print()

print memory address

Usage
ECoGRepository$print(...)
Arguments
...

ignored

Returns

none


Method new()

constructor

Usage
ECoGRepository$new(subject, reference = "default", autoload = TRUE)
Arguments
subject

character such as "project/subject" or Subject instance

reference

character, reference name, default is "default", which refers to "reference_default.csv" in subject meta folder

autoload

logical, whether to auto-load reference for all electrodes, default is yes.

Returns

An ECoGRepository instance


Method get_electrode()

get Electrode instances

Usage
ECoGRepository$get_electrode(electrode, name = "raw")
Arguments
electrode

integers, referring to electrode numbers

name

character, "raw", "power", "raw_phase", etc.

Returns

list of environments containing electrode instances


Method load_electrodes()

load electrodes; usually don't need to directly call this method if autoload is true when initializing the repository

Usage
ECoGRepository$load_electrodes(electrodes, reference = "default")
Arguments
electrodes

electrode number (integer)

reference

name of reference

Returns

none


Method epoch()

slice the data according to epoch table

Usage
ECoGRepository$epoch(
  epoch_name,
  pre,
  post,
  electrodes = NULL,
  frequency_range = NULL,
  data_type = "power",
  referenced = TRUE,
  func = NULL,
  quiet = FALSE
)
Arguments
epoch_name

the name of epoch; for example, "YABa" refers to "epoch_YABa.csv" in subject meta folder.

pre

positive number in seconds, how long should the time be kept before the onset

post

positive number in seconds, how long should the time be kept after onset

electrodes

integers, electrode numbers

frequency_range

experimental, frequency range to include

data_type

data types to epoch; default is "power", which is power spectrum, or amplitude. Other choices are "phase" for phase data and "volt" for voltage or analog signal traces.

referenced

whether to load data referenced or without reference

func

experimental, function to apply to each electrodes

quiet

whether to suppress output messages, default is no

Returns

none. However the results are stored in public fields.


Method load_reference()

load references

Usage
ECoGRepository$load_reference(ref_name, electrodes = NULL)
Arguments
ref_name

reference name

electrodes

electrode numbers

Returns

none


Method baseline()

baseline signals (deprecated)

Usage
ECoGRepository$baseline(from, to, electrodes = NULL, print.time = FALSE)
Arguments
from, to, electrodes, print.time

internally used

Returns

data after baseline. Please use baseline instead

Author(s)

Zhengjia Wang

Examples

## Not run: 

# Two ways to create instances
repo <- ECoGRepository$new('demo/YAB')

subject <- Subject$new(project_name = 'demo', subject_code = 'YAB')
repo <- ECoGRepository$new(subject)

# Create an instance without auto collecting references, only load 
# interesting electrodes
repo <- ECoGRepository$new('demo/YAB', autoload = FALSE)
repo$load_electrodes(c(14,15))

# Create an instance with non-default reference
repo <- ECoGRepository$new('demo/YAB', reference = 'bipolar')

# Epoch data according to epoch file "epoch_YABaOutlier.csv" in meta folder
# epoch_name should be "epoch_(name).csv"
repo$epoch(epoch_name = 'YABaOutlier', pre = 1, post = 2, 
           electrodes = 14, referenced = TRUE, data_type = "power")
repo$power
#> Dimension:  287 x 16 x 301 x 1 
#> - Trial: 1, 2, 3, 4, 5, 6,...
#> - Frequency: 2, 12, 22, 32, 42...
#> - Time: -1, -0.99, -0.98,...
#> - Electrode: 14


## End(Not run)

R6 Class for Electrode

Description

Stores single electrode or reference signals

Public fields

electrode

electrode number in integer

raw_power

stores pre-epoch power spectrum with no reference

raw_phase

stores pre-epoch phase with no reference

raw_volt

stores pre-epoch analog traces with no reference

phase

stores pre-epoch phase after reference

power

stores pre-epoch power spectrum after reference

volt

stores pre-epoch analog traces after reference

preload

which of the three data are pre-loaded

reference

character or Electrode instance indicating the reference for current electrode

has_power, has_phase, has_volt

whether power, phase, or voltage data exist in file system before and after reference

Active bindings

has_power, has_phase, has_volt

whether power, phase, or voltage data exist in file system before and after reference

blocks

character vector of block names (read-only)

subject_id

character of subject ID (read-only)

reference_electrode

whether this is a reference (read-only)

Methods

Public methods


Method info()

print electrode information

Usage
Electrode$info()
Returns

none


Method print()

overrides default print method

Usage
Electrode$print(...)
Arguments
...

ignored

Returns

none


Method switch_reference()

switch reference (experimental)

Usage
Electrode$switch_reference(new_reference)
Arguments
new_reference

An electrode instance

Returns

none


Method referenced()

get referenced data

Usage
Electrode$referenced(type = "power", ram = TRUE)
Arguments
type

which data to reference, default is power

ram

whether to load data to memory

Returns

If ram is true, then returns a list of matrices. The length of the list equals the number of blocks, and each matrix is frequency by time points. If ram is false, then returns an environment with each element a LazyH5 or LazyFST instance.


Method clean()

remove data from memory

Usage
Electrode$clean(types = c("power", "phase", "volt"), force = FALSE)
Arguments
types

data types to clean

force

whether to remove pre-loaded data types

Returns

none


Method new()

constructor

Usage
Electrode$new(
  subject,
  electrode,
  reference_by = "noref",
  preload = NULL,
  is_reference = FALSE
)
Arguments
subject

Subject instance or characters like "proj/sub"

electrode

number, integer

reference_by

reference signals, choices are character, or Electrode instance; default is "noref", meaning no reference to the electrode

preload

data to load along with constructor

is_reference

is current instance a reference?

Returns

An Electrode instance


Method epoch()

epoch electrode

Usage
Electrode$epoch(
  epoch_name,
  pre,
  post,
  types = c("volt", "power", "phase"),
  raw = FALSE,
  hybrid = TRUE
)
Arguments
epoch_name

epoch name, for example, epoch_name="default" refers to epoch file "epoch_default.csv" in subject meta folder

pre

seconds before trial onset to load

post

seconds after trial onset to load

types

characters, data types to load; choices are "volt", "power", and "phase"

raw

whether epoch pre-referenced data?

hybrid

whether to fast-cache the data on hard-drive? See also Tensor

Returns

list of data after epoch

Author(s)

Zhengjia Wang

Examples

## Not run: 
# Electrode with no reference
e1 <- Electrode$new('demo/YAB', electrode = 14, reference_by = 'noref')
e1$reference
#> Subject: demo/YAB
#> Electrode: noref (Reference)

# Add Common Average Reference in rave/data/reference/ref_13-63,65-84.h5
e2 <- Electrode$new('demo/YAB', electrode = 14, 
                    reference_by = 'ref_13-63,65-84')

# Electrode with bipolar reference by another electrode
e3 <- Electrode$new('demo/YAB', electrode = 14, reference_by = 'ref_15')

# Alternative way
reference <- Electrode$new('demo/YAB', electrode = 15, is_reference = TRUE)
e4 <- Electrode$new('demo/YAB', electrode = 14, reference_by = reference)

# e3, e4 are the same in scientific meaning. To test it, epoch them
power3 <- e3$epoch('YABaOutlier', 1, 2, 'power', 
                   raw = FALSE, hybrid = FALSE)$power
power4 <- e4$epoch('YABaOutlier', 1, 2, 'power',
                   raw = FALSE, hybrid = TRUE)$power

# Compare e3 and e4, result difference should be 0
range(power3$get_data() - power4$get_data())
#> 0

# With or without hybrid, the size will be different
# No hybrid, totally in memory
lobstr::obj_size(power3)
#> 12 MB
# Hybrid, data is swapped to hard-drive
lobstr::obj_size(power4)
#> 908 kB

## End(Not run)

Electrode localization

Description

Electrode localization

Usage

electrode_localization(subject_code, freesurfer_path, ct_path, ...)

Arguments

subject_code

'RAVE' subject code

freesurfer_path

'FreeSurfer' folder path that points to reconstructed subject brain

ct_path

'CT' path (in 'Nifti' format). The 'CT' has to be aligned to 'T1-MRI'. Please check this tutorial.

...

other parameters passing to localization_module

Value

This function will launch a shiny application.


Add Function to run once Module is Ready

Description

Usually contains reactive functions that requires shiny reactive context

Usage

eval_when_ready(FUN)

Arguments

FUN

function that takes an environment (runtime environment) as arguments.


Session-based Module Runtime Environment Class

Description

where all the module functions are executed. It's rarely created manually, use get_module to create module, run with start_app(m, test.mode=TRUE), and then inspect modules.

Public fields

.__rave_context__.

context string for current instance, indicating whether the module is running locally (public, but internally used)

.__rave_package__.

current package name to run (public, but internally used)

.__rave_module__.

module ID (public, but internally used)

.__rave_module_instance__.

self instance (public, but internally used)

module_env

ModuleEnvir instance

cache_env

cache environment to store key-value pairs locally

parent_env

the parent/top environment of the module, usually global environment or some name-space if the module is implemented as an R package

wrapper_env

stores all the utility functions. Some functions are overridden there such as observe, rave_checks, or eval_when_ready. These functions behave differently inside or outside of shiny context, and with or without data loaded. The environment will be locked once the module is initialized. The parent environment is parent_env

static_env

stores module static functions. These functions are evaluated under parse_env and then moved here. The environment is locked after initialization. Its parent environment is wrapper_env

param_env

stores parameters and most of the user inputs. It can also serve as a repository for global variables. Unlike the previous environments, param_env is unlocked, but module creators do not have access to this environment directly. The parent environment is static_env

runtime_env

where the main part of module is running. All shiny observe and observeEvent are redirected to this environment by default (unless using shiny::observe). All functions in static_env have access to this environment. The parent environment is param_env

async_env

where asynchronous codes run

parse_env

environment where modules are parsed. The parent environment is runtime_env. Once all functions are evaluated, this environment is not used. However, module creators don't directly access this environment once the module is initialized.

ns

shiny name-space functions, is equivalent to shiny::NS(module_id). The goal is to add prefixes to module inputs so that two modules with the same input ID are named differently

auto_execute

(Deprecated) whether to auto-calculate results

manual_inputIds

character vector; name list of manually input IDs. Used when the algorithm takes long to run

rendering_inputIds

character vector; name list of input IDs that when one of the corresponding inputs is changed, then rave_execute will not get evaluated. Only the outputs are changed.

input_update

expressions to update inputs

register_output_events

expressions to register outputs

register_input_events

expressions to register inputs

execute

module main function. The function is dynamically generated. Don't call directly.

async_module

(experimental) whether the module contains any asynchronous part

global_reactives

shiny global reactives, internal use only

local_reactives

shiny local reactives, internal use only

internal_reactives

internal reactive values to control some elements, internal use only

ready_functions

functions to run when the module is ready. The functions are called at the last step of shinirize. Usually it's used along with eval_when_ready, to make sure global_reactives and local_reactives getting registered before functions calls

Active bindings

input_ids

vector of input IDs (read-only)

input_labels

vector of input labels (read-only)

output_labels

vector of output labels (read-only)

output_ids

vector of output IDs (read-only)

Methods

Public methods


Method reload()

(experimental) signal the modules to reload

Usage
ExecEnvir$reload()
Returns

none


Method finalize()

garbage collection

Usage
ExecEnvir$finalize()
Returns

none


Method info()

print variables in different layers (environment)

Usage
ExecEnvir$info()
Returns

none


Method print()

print the memory address

Usage
ExecEnvir$print(...)
Arguments
...

ignored

Returns

memory address


Method clean()

clean the environments to release the resource

Usage
ExecEnvir$clean()
Returns

none


Method new()

constructor

Usage
ExecEnvir$new(session = getDefaultReactiveDomain(), parent_env = NULL)
Arguments
session

shiny session instance

parent_env

parent environment of this instance: package name space or global environment


Method reset()

reset the runtime environment, rarely used

Usage
ExecEnvir$reset(inputs)
Arguments
inputs

reactive value list

Returns

none


Method copy()

(deprecated) copy the instance locally

Usage
ExecEnvir$copy(
  session_id = "__fake_runtime_env__",
  data_env = getDefaultDataRepository()
)
Arguments
session_id

character

data_env

where the data is stored, default is the environment returned by getDefaultDataRepository

Returns

a copied instance


Method execute_with()

(deprecated) execute module with given parameter

Usage
ExecEnvir$execute_with(param, async = FALSE, plan = NULL)
Arguments
param

named list

async

whether to run the whole module

plan

future plan

Returns

runtime environment


Method names()

returns names of a list, if names are null, returns blank characters

Usage
ExecEnvir$names(x)
Arguments
x

a list

Returns

the names of the list


Method register_module()

register ModuleEnvir instance

Usage
ExecEnvir$register_module(module_env)
Arguments
module_env

ModuleEnvir instance. The modules are shared across different sessions, but to run the module, we need to create runtime environment, which is ExecEnvir

Returns

none


Method register_context()

Register 'RAVE' context for current environment (internally used)

Usage
ExecEnvir$register_context(context = c("rave_running", "rave_running_local"))
Arguments
context

context string to indicate whether the module is running locally

Returns

None


Method rave_inputs()

parse input components

Usage
ExecEnvir$rave_inputs(
  ...,
  .input_panels = list(),
  .tabsets = list(),
  .env = NULL,
  .manual_inputs = NULL,
  .render_inputs = NULL
)
Arguments
...

shiny input calls, such as textInput('id', 'Name', ...)

.input_panels, .tabsets

together define the input layouts

.env

ignored, debug only

.manual_inputs

input IDs that won't cause module re-calculate when inputs are updated

.render_inputs

input IDs that only trigger render functions when updated

Returns

none


Method rave_outputs()

parse output components

Usage
ExecEnvir$rave_outputs(
  ...,
  .output_tabsets = list(),
  .tabsets = list(),
  .env = NULL
)
Arguments
...

shiny output calls, such as plotOutput('id', 'Title')

.output_tabsets, .tabsets

together define the output layouts

.env

debug use

Returns

none


Method rave_updates()

input initialization when iEEG/ECoG data are imported

Usage
ExecEnvir$rave_updates(..., .env = NULL)
Arguments
...

R expressions

.env

for debug use


Method rave_execute()

parse, and compile to main function

Usage
ExecEnvir$rave_execute(..., auto = TRUE, .env = NULL, async_vars = NULL)
Arguments
...

R expressions

auto

whether the module should run automatically

.env

debug use

async_vars

variables further passed to async module

Returns

none, but ExecEnvir$execute will be generated.


Method set_browser()

(experimental) cache R expression in browser localStorage

Usage
ExecEnvir$set_browser(expr, session = getDefaultReactiveDomain())
Arguments
expr

R expression

session

shiny session instance


Method generate_input_ui()

generate input panels according to parsed rave_inputs

Usage
ExecEnvir$generate_input_ui(sidebar_width = 3L)
Arguments
sidebar_width

integer from 1 to 11, the width of the input panels

Returns

HTML tags


Method generate_output_ui()

generate outputs labels according to parsed rave_outputs

Usage
ExecEnvir$generate_output_ui(sidebar_width = 3L)
Arguments
sidebar_width

integer from 1 to 11, the width of the input panels, the output panel width is calculated as 12-sidebar_width

Returns

HTML tags


Method is_global()

(deprecated) check if variable is shared across modules. Please use cache_input instead to get variable values.

Usage
ExecEnvir$is_global(inputId)
Arguments
inputId

input ID


Method clone()

The objects of this class are cloneable with this method.

Usage
ExecEnvir$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Author(s)

Zhengjia Wang

Examples

## Not run: 

# Load module
module <- get_module('ravebuiltins', 'power_explorer')

# Create execute environmen
execenv <- module$get_or_new_exec_env()
execenv$info()


## End(Not run)

Export voltage (analog trace) diagnostic plots for each electrode

Description

You must import subject through rave_preprocess() and then run this function

Usage

export_diagnose_voltage(
  subject,
  electrodes,
  blocks,
  save_dir = "./export",
  width = 12,
  height = 7,
  useDingbats = FALSE,
  onefile = TRUE,
  winlen,
  freq_lim,
  nclass = 50,
  fore_col = "black",
  back_col = "grey80",
  ...
)

Arguments

subject

character with the following format: "project_name/subject_code"

electrodes

a integer vector. For example: c(1,3,4,10:15)

blocks

the blocks to include. Default is all blocks of this subject

save_dir

the directory you want to save the files

width, height, useDingbats

passed to pdf

onefile

collect images within one file?

winlen

window length, default is twice of the subject sampling rate

freq_lim

default is half of voltage sampling rate

nclass

number of classes in histogram plot, default is 50

fore_col

Periodogram color for Notch filtered signals

back_col

Periodogram color for raw signals

...

All other parameters passed to pdf

See Also

pdf, diagnose_signal, pwelch


Fake 'shiny' Session for Debug Purpose

Description

Fake 'shiny' Session for Debug Purpose

Usage

fake_session(rave_id = "__fake_session__", id = NULL)

Arguments

rave_id

internally used

id

module ID, used to create scope, will passed to NS

Value

Fake shiny session for debug purpose


Finalize installation

Description

download demo data

Usage

finalize_installation(
  packages,
  upgrade = c("ask", "config-only", "always", "never", "data-only"),
  async = FALSE
)

Arguments

packages

package name to finalize. 'rave' to only update base demo data, or c('threeBrain', 'ravebuiltins') to upgrade built-in data, or leave it blank to upgrade all.

upgrade

whether to ask. Default is 'always' to receive default settings. Other choices are 'ask', 'never', 'config-only', and 'data-only'

async

whether to run scripts in parallel; default is true.


Parse 'RAVE' Module Contents

Description

Parse 'RAVE' Module Contents

Usage

get_content(content, env, evaluate = TRUE, chunks = FALSE)

Arguments

content

characters, R code to parse into expressions

env

environment to parse the code into, please specify the context

evaluate

whether to evaluate parse expression into env

chunks

whether to respect code notations and chunk the code into separate parts

Details

If "evaluate=TRUE", then the parse code will be evaluated within env and returns a logical value: TRUE means the content has something, otherwise returns FALSE

If "evaluate=FALSE", returns the parsed expression and add attributes about the names of each chunk and whether they are asynchronous

Value

See details.


Get Directories in 'RAVE'

Description

Get Directories in 'RAVE'

Usage

get_dir(
  subject_code,
  project_name,
  block_num,
  mkdirs = NULL,
  subject_id,
  relative = FALSE
)

Arguments

subject_code

subject code; can be ignored when subject_id is provided

project_name

project name; can be ignored when subject_id is provided

block_num

block name (optional)

mkdirs

internally used

subject_id

subject ID; can be omitted if subject_code and project_name are provided

relative

whether to return relative path or absolute to root directory


internally used for debugging functions

Description

internally used for debugging functions

Usage

get_fake_updated_message(..., .args = list(), .func = NULL)

Arguments

...

see with_fake_session

.args

same as ...

.func

function to pass to with_fake_session


Get RAM usage

Description

Get RAM usage

Usage

get_mem_usage(
  modules = list(),
  data_envir = getDefaultDataRepository(),
  session = getDefaultReactiveDomain()
)

Arguments

modules

which module(s)

data_envir

default uses getDefaultDataRepository

session

shiny session instance


Function to find modules in packages

Description

Function to find modules in packages

Usage

get_module(package, module_id, local = FALSE, ...)

Arguments

package

package name to search for modules

module_id

(optional) module ID if the package contains multiple modules

local

run module locally?

...

ignored for compatibility purpose


Safe Way to Access Module Package Files Using Relative Path

Description

Safe Way to Access Module Package Files Using Relative Path

Usage

get_path(..., mustWork = FALSE, is_directory = FALSE)

Arguments

...

relative path to the file

mustWork

whether the file must exists

is_directory

whether required file is a directory

Value

If you are developing the package, get_path returns the absolute file path, otherwise it uses system.file to get the file from package library.


Get RAVE Theme from Package Settings

Description

Get RAVE Theme from Package Settings

Arguments

packages

packages to check

type

characters, "continuous", "discrete", or both

theme

"light" or "dark"; default is current theme saved in rave_options('current_theme')

session

shiny session

Value

A list contains all palettes found in the packages.

Examples

pal = get_rave_theme('rave', type = c('continuous', 'discrete'), theme='light')
print(pal, plot=TRUE)

pal = get_rave_theme('rave', type = c('continuous', 'discrete'), theme='dark')
print(pal, plot=TRUE)

Get all subjects within project

Description

Get all subjects within project

Usage

get_subjects(project_name, check_subfolders = TRUE, check_rawdata = FALSE)

Arguments

project_name

project

check_subfolders

logical, check whether folder 'rave' exists in subject folder, default true

check_rawdata

logical, whether raw subject folder exists, default false


Get Value or Default

Description

Get Value or Default

Usage

get_val(x, key = NULL, ..., .invalids = c("null", "na"))

Arguments

x

a list, or environment, or just any R object

key

the name to obtain from x. Default is NULL

...

if the value is invalid, the default value to return

.invalids

what counts as invalid? Default is NULL and NA, represented by "null" and "na"


Get environment where subject data is loaded

Description

Get environment where subject data is loaded

Usage

getDefaultDataRepository(
  session = getDefaultReactiveDomain(),
  session_id,
  session_based = NULL
)

Arguments

session

shiny session, default is NULL

session_id

internal use

session_based

internal use


Get Module Runtime Environment from Current Context

Description

Get Module Runtime Environment from Current Context

Usage

getExecEnvirFromContext()

Value

An ExecEnvir instance


Get Module Instance from Current Context

Description

Get Module Instance from Current Context

Usage

getModuleEnvirFromContext()

Value

An ModuleEnvir instance


Import .csv files that contain electrode information

Description

The table to import must contains a column 'Electrode' that is consistent with the corresponding subject.

Usage

import_electrodes(path, subject, use_fs = NA, ...)

Arguments

path

path to the electrode file to import

subject

'RAVE' project-subject combination

use_fs

whether to use 'FreeSurfer', default is to auto-detect

...

passed to read.csv


Initialize main application for debugging purpose

Description

Initialize main application for debugging purpose

Usage

init_app(
  modules = NULL,
  active_module = NULL,
  launch.browser = TRUE,
  theme = "red",
  disable_sidebar = FALSE,
  simplify_header = FALSE,
  ...,
  data_repo = getDefaultDataRepository()
)

Arguments

modules

which modules to show. See load_modules

active_module

which module to focus at start up (use module ID)

launch.browser

launch browsers, default is on

theme

color theme for the website

disable_sidebar

hide sidebar at startup?

simplify_header

hide header at startup?

...

other parameters like test.mode for module debugging

data_repo

internally used


Initialize 'RAVE' module for debug purpose

Description

Initialize 'RAVE' module for debug purpose

Usage

init_module(
  module_id,
  debug = FALSE,
  parse_context = c("rave_running", "rave_running_local")
)

Arguments

module_id

module ID

debug

whether to expose all functions to the global environment

parse_context

parsing context, for internal use

See Also

load_rave_module_package


lapply using future package in asynchronous way

Description

lapply using future package in asynchronous way

Usage

lapply_async(
  x,
  fun,
  ...,
  .ncores = 0,
  .call_back = NULL,
  .packages = NULL,
  .envir = environment(),
  .globals = TRUE,
  .gc = TRUE,
  .as_datatable = FALSE,
  .nrows = 0
)

lapply_async3(
  x,
  fun,
  ...,
  .globals = TRUE,
  .gc = TRUE,
  .callback = NULL,
  .ncores = 0
)

Arguments

x, fun, ...

(See lapply)

.ncores

Number of cores to use. If the value is 0, the number of cores will be determined by rave_options('max_worker').

.call_back

A function takes current iteration number as argument, can be NULL.

.packages

NULL be default, then the function will detect attached packages automatically. Otherwise you have to specify the packages that you want to load.

.envir

internally used

.globals

Automatically detect variables. See ?future::future

.gc

Clean up environment after each iterations? Recommended for large datasets.

.as_datatable

logical, return result as data.frame. Experimental.

.nrows

integer, if .as_datatable=TRUE, number of rows expected.

.callback

function or NULL, callback function to monitor updates.

Examples

## Not run: 
lapply_async(1:10, function(x){
  Sys.sleep(2) # Run for 1 secs
  Sys.getpid()
}, .ncores = 3, .call_back = function(i){
  cat('Running iteration -', i, '\n')
})

## End(Not run)

Load local cache for fast importing voltage, power, and phase

Description

Load local cache for fast importing voltage, power, and phase

Usage

load_local_cache(
  project_name,
  subject_code,
  epoch,
  time_range,
  frequency_range = NULL,
  electrodes,
  referenced = FALSE,
  data_type = "voltage"
)

Arguments

project_name

project name

subject_code

subject code

epoch

epoch name

time_range

time range to cache

frequency_range

frequency range to cache

electrodes

electrodes to cache

referenced

which reference to be used

data_type

which type(s) of data to cache


Load subject meta data

Description

Load subject meta data

Usage

load_meta(meta_type, project_name, subject_code, subject_id, meta_name)

Arguments

meta_type

electrodes, epochs, time_points, frequencies, references ...

project_name

project name

subject_code

subject code

subject_id

"project_name/subject_code"

meta_name

only used if meta_type is epochs or references


Load RAVE Modules

Description

Load RAVE Modules

Usage

load_modules(legacy = FALSE)

Arguments

legacy

for internal debug use


Function to load RAVE module package with UI tools

Description

called internally by init_module or other module packages

Usage

load_rave_module_package(
  env,
  parse_context = c("rave_module_debug", "rave_running", "rave_running_local")
)

Arguments

env

environment to load tools

parse_context

parsing context


Load scripts that cannot put into package R folder

Description

Use in comp.R to load scripts that cannot be put into package "R/" folder. Usually the scripts contains shiny reactive values that changes dynamically.

Usage

load_scripts(..., asis = FALSE)

Arguments

...

script files that are wrapped by get_path, or R quasi-quotations wrapped by quo.

asis

if the scripts to be loaded is a file, whether to copy to a temporary directory when launching 'RAVE'. Usually we set this to be true to save loading time. However, if your scripts also source other scripts in relative path, we recommend setting asis=FALSE and also load additional scripts using this function.

Details

This function raises error when running in default contexts, and requires debug mode, or run inside of 'RAVE' instance.

Value

None, but will source, or run whatever code provided.

See Also

rave_context, get_path, quo


Find module analysis names

Description

Find module analysis names

Usage

module_analysis_names(
  module_id,
  project_name,
  data_env = getDefaultDataRepository()
)

Arguments

module_id

module id

project_name

project name

data_env

internally used


R6 'RAVE' Module Class

Description

contains module data, functions, etc.

Public fields

cache_env

cache environment for module

module_id

module ID, unique

label_name

corresponding module name

script_path

compiled module scripts

script

if script_path not exists, alternative script

author

who wrote the module not often used

version

module version

packages

the packages to be loaded for the module

rmd_path

deprecated

parent_env

parent environment of the module, usually global environment or package environment

from_package

whether the module is compiled from another R package. This value is required to be true since "rave-0.1.9".

package_name

which package does the module belong to?

sidebar_width

input panel width, from 1 to 11

Methods

Public methods


Method info()

print module information

Usage
ModuleEnvir$info()
Returns

none


Method print()

print module information and returns memory address

Usage
ModuleEnvir$print(...)
Arguments
...

ignored


Method new()

constructor

Usage
ModuleEnvir$new(
  module_id,
  label_name,
  script_path,
  author = NULL,
  version = "0",
  packages = NULL,
  .script_content = NULL,
  rmd_path = NULL,
  parent_env = globalenv()
)
Arguments
module_id, label_name, script_path, author, version

see fields

packages, parent_env, rmd_path

see fields

.script_content

internal use


Method get_or_new_exec_env()

get the corresponding ExecEnvir with shiny session

Usage
ModuleEnvir$get_or_new_exec_env(
  session = getDefaultReactiveDomain(),
  ...,
  new = FALSE
)
Arguments
session

shiny session; see shiny domains

...

ignored

new

whether to force creating a new runtime environment if previous one already exists

Returns

an ExecEnvir instance associated with current module and given session


Method load_script()

load and compile script into registered ExecEnvir

Usage
ModuleEnvir$load_script(session = getDefaultReactiveDomain())
Arguments
session

shiny session; see shiny domains

Returns

none


Method render_ui()

generate 'HTML' tags

Usage
ModuleEnvir$render_ui(session = getDefaultReactiveDomain())
Arguments
session

shiny session; see shiny domains

Returns

'HTML' tags


Method clean()

clean the module environment

Usage
ModuleEnvir$clean(session = getDefaultReactiveDomain(), session_id)
Arguments
session

shiny session; see shiny domains

session_id

shiny 'RAVE' ID, default is auto-generated

Examples

## Not run: 

module <- get_module('ravebuiltins', 'power_explorer')
module
#> Module Name: Power Explorer 
#> Version: 0 
#> Script Path: ... 
#> Author(s):


## End(Not run)

Load Demo Subject According to Package Configuration File

Description

Load Demo Subject According to Package Configuration File

Usage

mount_demo_subject(
  subject_code,
  project_name,
  force_reload_subject = FALSE,
  ...,
  download_url
)

## S3 method for class 'rave_module_debug'
mount_demo_subject(
  subject_code,
  project_name,
  force_reload_subject = FALSE,
  ...,
  download_url
)

## S3 method for class 'rave_running'
mount_demo_subject(...)

## S3 method for class 'rave_running_local'
mount_demo_subject(...)

Arguments

subject_code

optional, subject code

project_name

optional, project name

force_reload_subject

logical, whether to force reload subject even if another subject is loaded

...

further passed to rave_prepare

download_url

optional, web link to subject archive

Details

When debugging the 'RAVE' modules, it loads demo subject for debugging from according to settings file "inst/rave.yaml".

This function only function properly in 'rave_module_debug' mode. This means by default it raises errors. In other mode, for example 'rave_running', it does nothing.

Value

None


Filter line noise out from ECoG channels

Description

Filter line noise out from ECoG channels

Usage

notch_channel(s, sample_rate, bands = c(60, 120, 180), width = c(1, 2, 2))

Arguments

s

signal, time domain

sample_rate

signal sample rate

bands

bands that will be filtered out

width

along with bands, half of the filter width. For example,if bands is 60Hz and width is 1Hz, then the notch filter lower bound is 60-1=59Hz and upper bound is 60+1=61Hz.


Apply Notch Filter to Analog Trace Data

Description

Apply Notch Filter to Analog Trace Data

Usage

notch_filter(s, sample_rate, lb, ub, domain = 1)

Arguments

s

signal in time or frequency domain

sample_rate

signal sample rate

lb

filter lower bound (Hz)

ub

filter upper bound (Hz)

domain

1 if the input signal is in the time domain, 0 if it is in the frequency domain

Details

This function is alternative R version of notch filter

Value

filtered signal in time domain


Plot signals line by line

Description

Plot signals line by line

Usage

plot_signals(
  signals,
  sample_rate = 1,
  col = 1,
  space = 0.995,
  space_mode = "quantile",
  start_time = 0,
  duration = NULL,
  compress = TRUE,
  channel_names = NULL,
  ylab = "Channel",
  time_shift = 0,
  lwd = 0.5,
  cex = 2,
  new_plot = TRUE,
  plot = "base",
  xlim = NULL,
  ...
)

Arguments

signals

signals to plot, with each row one signal

sample_rate

sample rate

col

Color, either length of 1 or number of signals. Can be numeric or color name

space

space between to signals. If space_mode='quantile', then space is determined by quantile of signal (0 - 1). If space_mode='absoute', then space will be as is.

start_time

Time in seconds at which time point the signal should be drawn

duration

length of 1. Time in seconds the duration of time to be drawn. Default is NULL (Total time range)

compress

FALSE means no compression for signals, TRUE is auto-detection, 2, 3, 4,... means compress signals by x and then plot. (usually compress signal to save time)

channel_names

Names for each signals. Will be Y tick labels

ylab

Y axis label

plot, xlim, space_mode, time_shift, lwd, cex, new_plot

Deprecated

...

pass to matplot


A wrapper for shiny Progress object

Description

A wrapper for shiny Progress object

Usage

progress(
  title,
  max = 1,
  session = getDefaultReactiveDomain(),
  quiet = FALSE,
  ...
)

Arguments

title

Main title for progress bar

max

How many steps you have for this process

session

shiny session, default is getDefaultReactiveDomain

quiet

nonreactive-only mode? default is FALSE. If TRUE, then progress bar will be hidden in shiny app

...

other parameters passing to progress2

Details

shiny::Progress class cannot be used under non-reactive environment. rave::progress function wrap it up so that you can use it in non-reactive settings.


Plot "Welch" Periodogram

Description

Plot "Welch" Periodogram

Usage

pwelch(
  x,
  fs,
  window = 64,
  noverlap = 8,
  nfft = 256,
  col = "black",
  xlim = NULL,
  ylim = NULL,
  main = "Welch periodogram",
  plot = TRUE,
  log = "xy",
  spec_func = stats::spectrum,
  cex = 1,
  ...
)

Arguments

x

signal

fs

sample rate

window

window length, default 128

noverlap

overlap between two adjacent windows, by default is 8

nfft

number of basis functions

col, xlim, ylim, main, cex, ...

will be passed to plot

plot

logical, plot the result or not

log

indicates which axis should be log10 value. options are '', 'x', 'y', 'xy'.

spec_func

deprecated


Convert subject to python object

Description

Convert subject to python object

Usage

r_to_py.Subject(obj, convert = FALSE)

Arguments

obj

Subject class

convert

pass to r_to_py in reticulate package


Tools to load and view brain in 3D viewer

Description

Tools to load and view brain in 3D viewer

Usage

rave_brain2(
  subject,
  surfaces = "pial",
  use_141 = TRUE,
  recache = FALSE,
  clean_before_cache = FALSE,
  compute_template = FALSE,
  usetemplateifmissing = FALSE
)

Arguments

subject

character or 'RAVE' subject instance

surfaces

one or more from "pial", "white", "smoothwm", brain surface types

use_141

logical, whether to use standard 141 brain

recache

whether to force cache data, default is false

clean_before_cache

whether to clean cache before redo cache, default is false

compute_template

logical whether to compute nearest 141 node. Please also check freesurfer_brain.

usetemplateifmissing

whether logical, to display template brain if subject brain not found, default is false


Check if data is loaded for current module

Description

Check if data is loaded for current module

Usage

rave_checks(
  ...,
  data = NULL,
  .raise_error = TRUE,
  rave_data = getDefaultDataRepository()
)

Arguments

...

see details

data

same as ..., but can be a vector

.raise_error

whether to raise error if data is missing

rave_data

internally used

Details

This function checks whether "ECoG" data is loaded. The format is: "DATA+(blankspace)+TYPE". "DATA" can be "power" (wavelet transform amplitude), "phase" (complex angle), or "volt"/"voltage" (Before wavelet). "TYPE" can be "raw" (no reference), "referenced" (referenced by common average reference, white matter reference, or bipolar reference). For voltage data, there is one more special type "full" which loads voltage data for all electrodes.


'RAVE' Context: Read and Set Context of Environments

Description

'RAVE' Context: Read and Set Context of Environments

Usage

rave_context(
  context,
  require_contexts,
  disallowed_context,
  error_msg,
  spos = 2L,
  senv,
  tpos = 1L,
  tenv
)

Arguments

context

context string for target environment, optional, see ‘Details’

require_contexts

characters, (optional): required context for current function. If any context is missing, the function will raise errors

disallowed_context

characters, (optional): defines the contexts that don't work for the function. If running within such contexts, the function will raise errors

error_msg

characters, (optional): if running in improper contexts, the message to display, will passed to stop

spos

levels to go up to search for senv, passed to parent.frame

senv

environment to read 'RAVE' contexts

tpos

levels to go up to search for tenv, passed to parent.frame

tenv

environment to set 'RAVE' contexts

Details

Context strings tells the function which context it's running, and it will affect the behaviors of functions within its environment. Because 'RAVE' modules are usually R packages, the context strings help the module writers determine where the function is running. For example, running locally, or in 'RAVE' container, or debug mode. A typical example would be get_path function. All external scripts used in R packages require to be obtained using system.file. However, because the files are subject to change, using system file function requires re-compile the package, which is time-consuming. Function get_path returns the file path relative to current working directory during the development (in "default" context), and it calls system.file when 'RAVE' instance is running.

There are four contexts: "default", "rave_module_debug", "rave_running", and "rave_running_local".

default

Default context: this means the function is running without any additional information.

rave_module_debug

Debug mode: used to develop and debug modules locally. Under the context, the function will be aware of the package that module belongs to

rave_running

If the function is running under this context, this means it's running inside of shiny application (usually within start_rave). The function will be able to get more contexts such as module ID, and current runtime environment (ExecEnvir)

rave_running_local

Similar to "rave_running", but without run-time environment. Under this context, the module is running locally without shiny. All reactive observers are disabled, and the modules will be compiled into a function with all the inputs defined by define_input as arguments, and code within "main.R" as the main body of the function.

Function rave_context uses reserved variables in the environment: .__rave_context__., .__rave_package__., .__rave_module__., and .__rave_module_instance__.. Please don't use these variables for other purposes. See ‘Examples’ for how to set and read the context.

Value

A list of current context, including the package name, module ID, and current ExecEnvir instance if running under "rave_running" context.

Examples

# ------- 1. Read/Set Context ---------

library(dipsaus)
library(rave)
# Reset context for current environment
rave_context('default')

# Read from current caller's environment
fun <- function(...){
  ctx <- rave_context()
  cat2('The function is running under context - ', ctx$context)
  cat2('The package under the context - ', ctx$package)
  cat2('Module ID is - ', ctx$module_id)
  cat2('Running instance is - ', ctx$instance)
}
fun()
## The function is running under context - default
## The package under the context - 
## ...

# Set debug context 
debug_env <- new.env()
rave_context('rave_module_debug', tenv = debug_env)
debug_env$.__rave_package__. <- 'ravebuiltins'

# With debug_env, the function is aware of the package it's under
with(debug_env, { fun() })
## The function is running under context - rave_module_debug
## The package under the context - ravebuiltins
## ...

# To set context within the function and affect the functions inide
fun2 <- function(module_id){
  # Run rave_context and then set module ID
  rave_context('rave_running_local')
  .__rave_module__. <- module_id
  fun()
}
with(debug_env, { fun2('power_explorer') })
## The function is running under context - rave_running_local
## The package under the context - ravebuiltins
## Module ID is - power_explorer
## ...

# Let's see what we can do with rave_module_debug
with(debug_env, { get_path('inst/rave.yaml') })
# When I develop the package, it returns:
## "/Users/beauchamplab/.../ravebuiltins/inst/settings.yaml"
# When I run in other places, it returns
## "/Users/beauchamplab/Library/R/3.6/library/ravebuiltins/rave.yaml"


# ------- 2. Setting behaviors for context ---------
# One way to set different behaviors is to using `ctx`
## Not run: 
fun <- function(){
  ctx <- rave_context()
  switch(ctx$context, ...)
}

## End(Not run)

# The other way is to use S3 generics provided by R syntax
fun <- rave_context_generics('fun', function(module_id, ...){})

# action for default
fun.default <- function(...){
  cat2('Function is not supposed to run under default context...',
       level = 'ERROR')
}

# for debug, set module ID and run with rave_running_local
fun.rave_module_debug <- function(module_id, ...){
  cat2('Debug mode... loading a test subject')
  # Do something ... like automatically mount_demo_subject
  # by running mount_demo_subject()
  
  rave_context('rave_running_local')
  .__rave_module__. <- module_id
  # Recall the function under rave_running_local context
  fun(module_id, ...)
}

# When running within RAVE container, local and with shiny
fun.rave_running_local <- function(...){
  ctx <- rave_context()
  cat2('Yay, running ', ctx$module_id, ' under context ',
       ctx$context, level='INFO')
}
fun.rave_running <- fun.rave_running_local

# Run in default mode, expect error message
fun('power_explorer')

# Run in debug mode
debug_env <- new.env()
rave_context('rave_module_debug', tenv = debug_env)
debug_env$.__rave_package__. <- 'ravebuiltins'

# The function will run in debug mode, then rave_running_local
with(debug_env, { fun('power_explorer') })

Create S3 Generics that Respects 'RAVE' Context

Description

Create S3 Generics that Respects 'RAVE' Context

Usage

rave_context_generics(
  fun_name,
  fun = function() {
 }
)

Arguments

fun_name

generic function name

fun

function that set the arguments of the generic

Value

A generic function


RAVE Failure Message

Description

RAVE Failure Message

Usage

rave_failure(message, level = "ERROR", call = NULL, .stop = TRUE)

Arguments

message

error message, character

level

level of error message; can be chosen from "INFO", "WARNING", or "ERROR"

call

call expression

.stop

stop or just return the condition

Value

Error condition or stop


Functions for development use

Description

Functions for development use

Usage

rave_ignore(...)

Arguments

...

Expressions


Import Raw Signal from Non-standard Formats

Description

Import Raw Signal from Non-standard Formats

Usage

rave_import_rawdata(subject_code, project_name, launch_preprocess = TRUE)

Arguments

subject_code

subject code to search for in the raw folder

project_name

project name to create

launch_preprocess

whether to launch preprocess app, default is true


Tools for module writers

Description

Tools for module writers

Usage

rave_module_tools(
  env = NULL,
  data_env = getDefaultDataRepository(),
  quiet = FALSE
)

Arguments

env

environment to save tools in

data_env

rave data repository returned by rave_prepare, internally used

quiet

logical


Function to change rave-options

Description

Function to change rave-options

Usage

rave_options(
  ...,
  .save = TRUE,
  launch_gui = TRUE,
  host = "127.0.0.1",
  port = NULL
)

Arguments

...

Key-Value option pairs

.save

save to disk? ignored most of the time

launch_gui

launch shiny app?

host

IP address of host

port

Port number


Load Subject and Create iEEG/ECoG Data Environment

Description

Loads subject data along with iEEG/ECoG data into memory.

Usage

rave_prepare(
  subject,
  electrodes,
  epoch,
  time_range,
  frequency_range,
  data_types = c("power"),
  reference = "default",
  attach = "r",
  data_env = getDefaultDataRepository(),
  strict = FALSE,
  ...
)

Arguments

subject

characters, format: "PROJECT/SUBJECT"

electrodes

integer vector, which electrodes to be loaded

epoch

characters, name for epoch data. For example, "epoch1" refers to epoch file "epoch_epoch1.csv" in subject meta folder

time_range

vector of length 2. time_range[1]=1 indicates 1 second before onset will be loaded; time_range[2]=1.5 means 1.5 seconds after onset will be loaded. Make sure both are positive number in seconds

frequency_range

vector of length 2 - lowest and highest frequencies. By default is all frequencies. Only applied to power and phase data.

data_types

vector of characters, data to be pre-loaded. "power" refers to referenced power (power spectrum) data, "phase" refers to referenced phase data, and "volt" is referenced voltage (original analog traces) data

reference

name of reference data. For example, "default" refers to reference file "reference_default.csv" in subject meta folder

attach

characters or NULL, NULL if you don't want to attach it, "r" if want to load data as R environment, "py" is for python, and "matlab" is for Matlab. (python and Matlab are under construction)

data_env

environment to load data into.

strict

whether to check if raw data exists. Default is no (suggested)

...

ignored


RAVE Preprocess Function

Description

RAVE Preprocess Function

Usage

rave_preprocess(
  sidebar_width = 3,
  launch.browser = TRUE,
  host = "127.0.0.1",
  port = NULL,
  quiet = TRUE,
  beta = FALSE,
  test.mode = FALSE,
  modules,
  ver = "3",
  theme = "purple",
  ...
)

Arguments

sidebar_width

sidebar width from 1 to 11.

launch.browser

whether to launch browser, default is on

host

default is "localhost"

port

integer port of the app

quiet

soft deprecated

beta

whether to load experimental modules, default is false

test.mode

passed to shinyApp

modules

preprocess modules to load, reserved

ver

internally used please don't change

theme

color theme

...

used for other functions for configuration and debug only


Function to create RAVE preprocess tools

Description

Function to create RAVE preprocess tools

Usage

rave_preprocess_tools(env = new.env(), ...)

Arguments

env

environment to save tools to

...

ignored


Get RAVE version

Description

Get RAVE version

Usage

rave_version()

Cache R Objects with Different levels

Description

Cache R Objects with Different levels

Usage

cache(
  key,
  val,
  name,
  replace = FALSE,
  global = FALSE,
  persist = FALSE,
  test = FALSE,
  temporary = FALSE,
  ...
)

## S3 method for class 'rave_running'
cache(
  key,
  val,
  name,
  replace = FALSE,
  global = FALSE,
  persist = FALSE,
  test = FALSE,
  temporary = FALSE,
  ...
)

## S3 method for class 'rave_running_local'
cache(..., global = TRUE)

## Default S3 method:
cache(..., global = TRUE)

cache_input(
  inputId,
  val = NULL,
  read_only = TRUE,
  ...,
  session = getDefaultReactiveDomain()
)

clear_cache(levels = 1)

Arguments

key

any R object, a named list would be the best.

val

value to cache, if key exists, then value will not be evaluated nor saved

name, inputId

character name of the dataset or input

replace

if true, force replace the cached object with current one

global

whether to cache the variable in global environment. If true, then the variable will be accessible from other instances and modules.

persist

logical, whether persist on the hard-disk, only used when global=FALSE, the persisted data will be used by each modules

test, read_only

whether not to save the value if cache is not found

temporary

whether to use temporary map to cache, used internally.

...

ignored

session

shiny session instance

levels

levels when clear the cache

Value

Cached value, or val. If cache and val are both missing, then return NULL.

Examples

# global can be set to false within RAVE modules
print(cache('a', 1, name = 'data', global = TRUE)) # returns 1
print(cache('a', 2, name = 'data', global = TRUE)) # still returns 1

# clear cache (for global=TRUE)
clear_cache(levels = 1:3)
print(cache('a', 2, name = 'data', global = TRUE)) # Now returns 2

# Not run `Sys.sleep` because a is cached
print(cache('a', 2, name = 'data', global = TRUE))
print(cache('a', {Sys.sleep(10); 1}, name = 'data', global = TRUE))

# get data without key
cache(name = 'data', global = TRUE)

# clear cache that is global-only
clear_cache(levels = 2)

# Test (test=TRUE) if cache exists, if not, return value but no save
cache(name = 'abracadabra', val = 'no cache', global = TRUE, test = TRUE)
cache(name = 'abracadabra', global = TRUE)

# cache module inputs
## Not run: 
# Need to run in package module environment
cache_input('abracadabra', 'no-magic', read_only = TRUE)  

## End(Not run)

Open/Close a tab in RAVE main application

Description

Open/Close a tab in RAVE main application

Usage

close_tab(module_id, tabname)

open_tab(module_id, tabname)

Arguments

module_id

character, module ID

tabname

character, tab box title


Make iElvis mgrid file

Description

Make iElvis mgrid file

Usage

read_mgrid(con, raw = FALSE)

Arguments

con

mgrid file

raw

raw file or processed I guess

Author(s)

John Magnotti


Reload 'RAVE' module package without restarting 'RStudio'

Description

For debugging module packages. In all other contexts it will raise error.

Usage

reload_module_package(expose = FALSE, clear_env = FALSE)

Arguments

expose

whether to expose development tools to the global environment; default is no

clear_env

whether to clear the global environment before reloading; default is no


Save data to "CSV", if file exists, rename old file

Description

Save data to "CSV", if file exists, rename old file

Usage

safe_write_csv(data, file, ..., quiet = FALSE)

Arguments

data

data frame

file

"CSV" file to save

...

pass to write.csv

quiet

suppress overwrite message


Function to save meta data to subject

Description

Function to save meta data to subject

Usage

save_meta(data, meta_type, project_name, subject_code)

Arguments

data

data table

meta_type

see load meta

project_name

project name

subject_code

subject code


Function to locally save options (deprecated)

Description

Function to locally save options (deprecated)

Usage

save_options()

Get ‘shiny’ "input" and "output" objects under current context

Description

Get ‘shiny’ "input" and "output" objects under current context

Usage

getDefaultReactiveInput(session)

## Default S3 method:
getDefaultReactiveInput(session)

## S3 method for class 'rave_module_debug'
getDefaultReactiveInput(session)

## S3 method for class 'rave_running'
getDefaultReactiveInput(session = shiny::getDefaultReactiveDomain())

## S3 method for class 'rave_running_local'
getDefaultReactiveInput(session)

getDefaultReactiveOutput(session = shiny::getDefaultReactiveDomain())

## Default S3 method:
getDefaultReactiveOutput(session = shiny::getDefaultReactiveDomain())

## S3 method for class 'rave_module_debug'
getDefaultReactiveOutput(session = shiny::getDefaultReactiveDomain())

## S3 method for class 'rave_running'
getDefaultReactiveOutput(session = shiny::getDefaultReactiveDomain())

## S3 method for class 'rave_running_local'
getDefaultReactiveOutput(session = shiny::getDefaultReactiveDomain())

Arguments

session

shiny session instance

Value

In shiny context, returns special reactiveValues that refers to the inputs and outputs of shiny applications. In non-shiny contexts, returns a fake environment related to current fake session, for debug purpose.


Set and Return RAVE theme

Description

Set and Return RAVE theme

Usage

set_rave_theme(
  theme,
  .set_default = FALSE,
  session = shiny::getDefaultReactiveDomain()
)

Arguments

theme

"light" or "dark". See details if missing

.set_default

whether to save current theme as default, default is no.

session

shiny session

Details

RAVE support two themes: "light" mode and "dark" mode. In "light" mode, the web application background will be light gray and white. In "dark" mode, the application background will be gray and foreground will be white.

If theme is missing and RAVE is running as web application, then it is set from current session, otherwise, the default theme is retrieved from rave_options('default_theme'). If option "default_theme" is missing, then it defaults to "light".

Value

theme under current context.

Examples

# Retrieve current theme
get_val(rave_options('default_theme'), default = 'light')

# Set light mode
set_rave_theme('light')
plot(1:10, main = 'test light mode')

# Set dark mode
set_rave_theme('dark')
plot(1:10, main = 'test dark mode')

Convert module to objects used in shiny

Description

Convert module to objects used in shiny

Usage

shinirize(
  module,
  session = getDefaultReactiveDomain(),
  test.mode = TRUE,
  data_env = getDefaultDataRepository()
)

Arguments

module

ModuleEnvir object

session

shiny session, default is current shiny session

test.mode

passed by start_rave or init_app

data_env

internally used


Start RAVE main application

Description

Start RAVE main application

Usage

start_rave(
  modules = NULL,
  active_module = NULL,
  launch.browser = TRUE,
  theme = "purple",
  disable_sidebar = FALSE,
  simplify_header = FALSE,
  token = NULL,
  data_repo = getDefaultDataRepository(),
  ...
)

launch_demo(
  modules = "power_explorer",
  launch.browser = TRUE,
  theme = "green",
  disable_sidebar = TRUE,
  simplify_header = FALSE,
  ...
)

start_rave2(
  host = "127.0.0.1",
  port = NULL,
  launch.browser = TRUE,
  jupyter = FALSE,
  as_job = FALSE,
  ...
)

Arguments

modules

character vector, modules modules to load before starting application.

active_module

character, which module to show as default.

launch.browser

logical, whether to launch browser.

theme

character, color theme, default is 'purple'.

disable_sidebar

logical, whether to hide sidebar.

simplify_header

logical, whether to show simplified header.

token

character vector, default is NULL. If specified, then a ?token=... is needed in url to access to the application.

data_repo

internally used.

...

other parameters. See details.

host, port, jupyter, as_job

'RAVE' 2.0 related arguments; see start_session


Start 'YAEL' electrode localization

Description

Start 'YAEL' electrode localization

Usage

start_yael(
  host = "127.0.0.1",
  port = NULL,
  launch.browser = TRUE,
  as_job = FALSE,
  ...
)

Arguments

host

host IP address

port

integer port number; default is random

launch.browser

whether to launch browsers

as_job

whether to launch in background; available only in 'RStudio'

...

passed to start_session


R6 Class for 'RAVE' Subject

Description

contains subject meta information after preprocessing.

Public fields

meta

environment stores subject meta data

subject_id

character, subject ID, generated from project name and subject code. For example, project name is "congruency" and subject code is "YAB", then the subject_id="congruency/YAB"

subject_code

identifier for subject

project_name

project name

dirs

stores folder paths for subject data

is_strict

whether preprocess directory is checked when initializing the instance

Active bindings

electrodes

electrode table (read-only)

frequencies

frequency table (read-only)

time_points

time-point table (read-only)

time_excluded

(deprecated) excluded time-point table (read-only)

sample_rate

time-point table (read-only, for compatibility issues)

volt_sample_rate

voltage (trace) sampling rate in Hertz (read-only)

power_sample_rate

power (amplitude) sampling rate in Hertz (read-only)

phase_sample_rate

phase sampling rate in Hertz (read-only)

valid_electrodes

all valid electrodes in current reference scheme (read-only)

id

read-only version of subject ID

Methods

Public methods


Method info()

print the information of the subject

Usage
Subject$info()
Returns

none


Method print()

override of default print method

Usage
Subject$print(...)
Arguments
...

ignored

Returns

default memory address of the environment


Method finalize()

called when garbage collected

Usage
Subject$finalize()

Method new()

constructor

Usage
Subject$new(project_name, subject_code, reference = NULL, strict = TRUE)
Arguments
project_name

project name

subject_code

subject code

reference

what kind of reference is default for the subject, default is "default", referring to "reference_default.csv" in subject meta folder

strict

whether to check if the raw folder exists


Method preprocess_info()

Obtain preprocessing information. This methods is rarely directly called, I wrap up most commonly used fields in other functions

Usage
Subject$preprocess_info(key, default = NULL, customized = FALSE)
Arguments
key

the fields or items store in SubjectInfo2 instance

default

default value if the key is not found

customized

indicates whether the key refers to additional items or fields in SubjectInfo2. Default is false, meaning the key is the fields.

Returns

the preprocess information correspond to the key


Method filter_all_electrodes()

filter, and returns existing electrodes

Usage
Subject$filter_all_electrodes(electrodes)
Arguments
electrodes

integer vector

Returns

the electrodes that the subject has, including bad, or invalid electrodes.


Method filter_valid_electrodes()

filter, and returns valid electrodes

Usage
Subject$filter_valid_electrodes(electrodes)
Arguments
electrodes

integer vector

Returns

the valid electrodes. Invalid electrodes refers to bad electrodes, or the end of bipolar reference. If "Reference" column is blank in the reference file, then the electrode is invalid.


Method has_bad_time_point()

(deprecated) check whether the selected time is excluded

Usage
Subject$has_bad_time_point(block, electrode, start, end)
Arguments
block

block name

electrode

electrode number

start

start time

end

end time


Method clone()

The objects of this class are cloneable with this method.

Usage
Subject$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Author(s)

Zhengjia Wang

Examples

## Not run: 

# Load subject, use `strict=FALSE` if not sure the existence of raw files 
subject <- Subject$new(project_name = 'demo', 'YAB', strict = FALSE)

# Filter 1:14 to see which numbers refer to the valid electrodes
subject$filter_valid_electrodes(1:14)
#> [1] 13 14


## End(Not run)

Create temp file in subject module folder

Description

Create temp file in subject module folder

Usage

subject_tmpfile(
  module_id,
  fun_name = "",
  project_name,
  subject_code,
  pattern = "file_",
  data_env = getDefaultDataRepository()
)

Arguments

module_id

module id

fun_name

function name (usually export_"function_name" in the module)

project_name

project name

subject_code

subject code

pattern

passed to tempfile

data_env

internally used


Parse SUMA spec file

Description

Parse SUMA spec file

Usage

suma_spec_parse(subject, spec_file)

Arguments

subject

either characters in format like 'Project/Subject' or Subject object created by Subject$new(...)

spec_file

default decided by rave_options('suma_spec_file'), depending on subjects

Examples

## Not run: 
subject = 'Demo/YAB'
# or create subject object
subject = Subject$new('Demo', 'YAB')

# Please download sample subjects first to run
suma_spec_parse(subject)

## End(Not run)

Parse AFNI BRIK/HEAD file

Description

Parse AFNI BRIK/HEAD file

Usage

suma_surface_volume_parse(file_path)

Arguments

file_path

path to BRIK or HEAD file


Parse 'RAVE' Module and Returns Parsed Content in Environments

Description

Parse 'RAVE' Module and Returns Parsed Content in Environments

Usage

to_module(
  module_id,
  sidebar_width = 3,
  parse_context = c("rave_running_local", "rave_running")
)

Arguments

module_id

module ID

sidebar_width

input sidebar width

parse_context

parse context, default is "rave_running_local"


Debug-use only, reload package, mount demo subject, and launch shiny app

Description

Debug-use only, reload package, mount demo subject, and launch shiny app

Usage

view_layout(
  module_id,
  sidebar_width = 3,
  launch.browser = TRUE,
  reload = TRUE,
  ...
)

Arguments

module_id

module ID to debug

sidebar_width

input width, from 1 to 11, default is 3

launch.browser

whether to launch browser, default is true, other options are rstudioapi::viewer or false.

reload

whether to reload package first. default is true,

...

passed to init_app


Wavelet Transformation With Phase

Description

The code was translated from Matlab script written by Brett Foster, Stanford Memory Lab, 2015 with permission to use in 'RAVE'.

Usage

wavelet(data, freqs, srate, wave_num, demean = TRUE)

Arguments

data

- vector of time series to be decomposed

freqs

- vector of center frequencies for decomposition

srate

- sample rate (in Hz)

wave_num

- desired number of cycles in wavelet (typically 3-20 for frequencies 2-200).

demean

- whether to remove the mean of data first?

Details

Decompose time series data into time-frequency representation (spectral decomposition) using wavelet transform. Employs "Morlet" wavelet method (gaussian taper sine wave) to obtain the analytic signal for specified frequencies (via convolution).


Returns wavelets to be used for wavelet function

Description

Returns wavelets to be used for wavelet function

Usage

wavelet_kernels(freqs, srate, wave_num)

Arguments

freqs

vector of center frequencies for decomposition

srate

sample rate (in Hz)

wave_num

desired number of cycles in wavelet (typically 3-20 for frequencies 2-200).