Package 'rutabaga'

Title: Simple R Tools for Analysis and Visualizations
Description: Provides functions (R, C++) to speed up array calculations. Includes various tools for prettier visualizations via R base plots.
Authors: Zhengjia Wang [aut, cre, cph], John Magnotti [aut, cph]
Maintainer: Zhengjia Wang <[email protected]>
License: GPL-3
Version: 0.1.7
Built: 2024-10-29 03:30:48 UTC
Source: https://github.com/dipterix/rutabaga

Help Index


Pipe Function To Paste Two Characters

Description

Pipe Function To Paste Two Characters

Usage

x %&% y

Arguments

x

character

y

character

Value

paste0(x,y)


Same As Points, But Can Be Jittered (maturing)

Description

Same As Points, But Can Be Jittered

(maturing)

Usage

add_points(x, y, jitr_x = 0, pch = 19, ...)

Arguments

x, y

plot data

jitr_x

jitter shift size for x

pch

data point type, default is 19, See points

...

other params to jitr


pdf wrapper that evaluates an arbitrary expression.

Description

pdf wrapper that evaluates an arbitrary expression.

Usage

as_pdf(fname, w, h, expr, TEST = FALSE, bg = "white")

Arguments

fname

file path

w

the requested width of the PDF

h

the requested height of the PDF

expr

the expression to evaluate to produce the plot

TEST

if FALSE (the default) print to PDF, otherwise print to the current graphics device

bg

set the background color of the PDF, defaults to 'white'

Value

the output of the resulting expression (the plot is likely produced by side effect but may additionally 'return' a value)


Make nice plot titles

Description

Make nice plot titles

Usage

as_title(x, ...)

## S3 method for class 'formula'
as_title(x, ...)

## Default S3 method:
as_title(
  x,
  capitalize_all = TRUE,
  excluded = c("is", "are", "vs", "v.s.", "from", "of", "be", "for", "over"),
  ...
)

## S3 method for class 'fres'
as_title(x, ...)

## S3 method for class 'tres'
as_title(x, ...)

Arguments

x

title content

...

pass to other methods

capitalize_all

make the first letter cap

excluded

exclude making first letter cap, numeric vector

Examples

## Not run: 
# Display normal title
plot_clean(1,1, main = as_title('this is title'))

# Only capitalize the first character
plot_clean(1,1, main = as_title('this is title', capitalize_all = F))

# What if title is a formula
plot_clean(1,1, main = as_title(p[value](beta[1]) < ~.(0.01) ~ ' is significant'))

# Display t-statistics
plot_clean(1,1)
t_stat = get_t(rnorm(10))
title(main=as_title(t_stat))

## End(Not run)

Make cbind magrittr compatible (stable)

Description

Make cbind magrittr compatible (stable)

Usage

cbind_list(ll)

Arguments

ll

the list to bind, each element will be a column


Ensure Data Are Within Some Bounds (stable)

Description

Ensure Data Are Within Some Bounds

(stable)

Usage

clip_x(x, lim)

Arguments

x

data

lim

clip range, length of 1 or more. If length(lim) is 1, then the clip is symmetric


add decoration (frames) to plots based on their layout location

Description

add decoration (frames) to plots based on their layout location

Usage

create_frames(
  layout,
  common = NULL,
  bottom = NULL,
  left = NULL,
  top = NULL,
  right = NULL,
  env = parent.frame(),
  exclude = NULL
)

Create directory signature

Description

Create directory signature

Usage

dir_signature(
  path = ".",
  file.info = FALSE,
  md5sum = TRUE,
  recursive = TRUE,
  ...
)

Arguments

path

directory path to generate signatures

file.info, md5sum, recursive, ...

passed to fileSnapshot


Clauses With Side Effects (Plotting Etc) (questioning)

Description

Clauses With Side Effects (Plotting Etc)

(questioning)

Usage

do_if(boolean_expression, if_clause, else_clause = NULL)

Arguments

boolean_expression

expression that returns true or false

if_clause

if true, do if_clause

else_clause

if false, do else_clause


Polygon plot

Description

Polygon plot

Usage

do_poly(x, y, col, alpha = 50, border = NA, ...)

Arguments

x, y

x and y

col

color

alpha

0-255 transparency

border

border of polygon

...

passed to polygon


Draw Symmetric Error Bars (stable)

Description

Draw Symmetric Error Bars

(stable)

Usage

ebar_polygon(
  x,
  y,
  sem,
  alpha = 100,
  col = "black",
  fill = col,
  stroke = col,
  border = NA,
  add_line = TRUE,
  lwd = 1,
  ...
)

Arguments

x, y

plot data

sem

error bar half width

alpha

transparency

col

color

fill

error bar color

stroke

if add lines, line color

border

errorbar border width

add_line

add line(x,y) or not

lwd

line weight

...

passed to lines

Examples

## Not run: 
plot_clean(0:10, -1:5, xlab = 'X')
ruta_axis(side = 2, at = -1:8)
ebar_polygon(1:10, (1:10)/2, rnorm(10))

## End(Not run)

Draw Symmetric Error Bars

Description

Draw Symmetric Error Bars

Usage

ebars(
  x,
  y = NULL,
  sem = NULL,
  length = 0.05,
  type = "n",
  col = "black",
  pt.col = col,
  code = 2,
  ...
)

Arguments

x, y

data to plot

sem

error range (half)

length

line length

type

type of xy data see points

col

default color for points and error areas

pt.col

point colors

code

arrow code

...

other params passed to ebars.y

Examples

## Not run: 
plot_clean(0:10, -1:5, xlab = 'X')
ruta_axis(side = 2, at = -1:8)
ebars(x = c(2, 4), y = c(0, 3), sem = c(1, 0.5), col = c(2, 3))

## End(Not run)

Apply function to input but returns input itself

Description

Execute the function (usually for its side effect) then return (invisibly) the input to the function

Usage

F_NOOP(x, FUN, ...)

Arguments

x

input

FUN

function to apply on x

...

additional parameters passing to FUN


Ensure that the file names ends in ".pdf"

Description

Ensure that the file names ends in ".pdf"

Usage

fix_pdf_name(fname)

Arguments

fname

potential file name


helper function to build value labels

Description

(questioning)

Usage

format_stat(nm, stats = c("b", "t", "p"))

Arguments

nm

statistics

stats

names of statistics


Get Data Range From A Collection Of Named Lists (questioning)

Description

Get Data Range From A Collection Of Named Lists

(questioning)

Usage

get_data_range(ll, name = "range", ...)

Arguments

ll

list

name

element name

...

additional params for get_list_elements


Get statistics from linear model

Description

(questioning)

Usage

get_f(formula, ...)

format_f(lm.mod, test_name = "All")

Arguments

formula, ...

passed to lm

lm.mod

linear model returned by lm()

test_name

name


Get the file name from a full file path

Description

Get the file name from a full file path

Usage

get_filename(full_path, keep_extension = FALSE)

Arguments

full_path

path to file

keep_extension

whether the file extension should be retained (defaults to FALSE)


Get Elements/Slot/Attributes From List (stable)

Description

Get Elements/Slot/Attributes From List

(stable)

Usage

get_list_elements(
  ll,
  name,
  drop_nulls = TRUE,
  is_attr = FALSE,
  use_sapply = TRUE,
  ...
)

Arguments

ll

list of elements

name

attribute/name/slot to extract

drop_nulls

drop NULL results

is_attr

are we extracting attributes?

use_sapply

try to return a matrix/vector if possible?

...

if is_attr, additional params to attr


helper function for t-tests that returns the values wanted by format_stat

Description

(questioning)

Usage

get_t(...)

Arguments

...

passed to t.test


Get Hex Color With Transparency

Description

Get Hex Color With Transparency

Usage

getAlphaRGB(colname, alpha)

Arguments

colname

name or number of color

alpha

transparency

Examples

## Not run: 
getAlphaRGB('red', 0.5)

## End(Not run)

Check if a is within the range of b (stable)

Description

Check if a is within the range of b

(stable)

Usage

is_within(a, b)

a %within% b

Arguments

a

element to check (numeric)

b

vector of numbers


Return Jittered X (experimental)

Description

Return Jittered X

(experimental)

Usage

jitr(x, len = length(x), r)

Arguments

x

data

len

length of x

r

jitter size


Function To Return Mean And Standard Deviation (Na Ignored by default) (stable)

Description

Function To Return Mean And Standard Deviation (Na Ignored by default)

(stable)

Usage

m_sd(x, na.rm = TRUE)

Arguments

x

data

na.rm

remove NAs?


Function To Return Mean And Standard Error (stable)

Description

Function To Return Mean And Standard Error

(stable)

Usage

m_se(x)

mat_m_se(m, DIM = 2)

Arguments

x

data

m

matrix data

DIM

margin, 1 for row, 2 for column. See apply


Apply expression but returns something else

Description

Evaluate an expression, but then return the input

Usage

NOOP(x, expr = NULL)

Arguments

x

object to return

expr

expression to run


Return True If Not Na (stable)

Description

Return True If Not Na

(stable)

make it easier to say not is.na in a pipe'd context

Usage

not_NA(x)

not_NA(x)

Arguments

x

data


Return True If Not Null (stable)

Description

Return True If Not Null

(stable)

Usage

not_null(x)

Arguments

x

data


Create A Blank Plot With Given X And Y Range (stable)

Description

Create A Blank Plot With Given X And Y Range

(stable)

Usage

plot_clean(
  xlim,
  ylim,
  x = 1,
  y = 1,
  type = "n",
  xlab = "",
  ylab = "",
  cex.main = rave_cex.main,
  cex.axis = rave_cex.axis,
  cex.lab = rave_cex.lab,
  ...
)

Arguments

xlim

numeric vector

ylim

numeric vector

x

x

y

y

type

default is 'n', i.e. plot nothing. See plot.default

xlab

x label

ylab

y label

cex.main

title font size

cex.axis

axis ticks font size

cex.lab

axis label font size

...

other params passed to plot

Examples

## Not run: 
# create a blank plot with x from 0 to 10 and y from 1 to 5
plot_clean(0:10, 1:5, xlab = 'X')

## End(Not run)

Show A Blank Plot With Messages (maturing)

Description

Show A Blank Plot With Messages

(maturing)

Usage

plot_msg(main = "No Conditions Specified")

Arguments

main

the title/msg to show

Examples

## Not run: 
plot_msg("Let's Say Something")

## End(Not run)

Easy Way To Get +/- From A Long Vector

Description

Easy Way To Get +/- From A Long Vector

Usage

plus_minus(x, d)

Arguments

x

data

d

plus minus value(s)


Easy Way To Get +/- From A Long Vector (deprecated)

Description

Easy Way To Get +/- From A Long Vector

(deprecated)

Usage

pm(x, d)

Arguments

x

data

d

plus minus value(s)


Enforce Sum To 1, Ignoring Na In The Sum, But Keeping Them In The Output (questioning)

Description

Enforce Sum To 1, Ignoring Na In The Sum, But Keeping Them In The Output

(questioning)

Usage

pscl(x)

Arguments

x

data


Barplot Function That Uses All The Rave Sizes And Colors (stable)

Description

Barplot Function That Uses All The Rave Sizes And Colors

(stable)

Usage

rave_barplot(
  height,
  cex.axis = rave_cex.axis,
  cex.lab = rave_cex.lab,
  cex.names = rave_cex.lab,
  ...
)

Arguments

height, cex.axis, cex.lab, cex.names, ...

passed to barplot but the default values are changed


Make rbind magrittr compatible (stable)

Description

Make rbind magrittr compatible (stable)

Usage

rbind_list(ll)

Arguments

ll

the list to bind, each element will be a row


Remove the last k elements from a vector (list) Returns x (with a warning) if k < 1

Description

Remove the last k elements from a vector (list) Returns x (with a warning) if k < 1

Usage

remove_tail(x, k = 1)

Arguments

x

the vector

k

the number of items to remove


Get A Integer Interval That Contains X (maturing)

Description

Get A Integer Interval That Contains X

(maturing)

Usage

round_range(x)

Arguments

x

vector/matrix, numeric

Examples

## Not run: 
# 0 - 11
round_range(0.5:10.5)

## End(Not run)

Apply function along the first dimension

Description

row applier with an additional index variable, ii

Usage

row_apply_ii(mat, FUN_, ...)

Arguments

mat

matrix or array

FUN_

function to apply to each row

...

additional parameters passing to FUN_


helper to do row scaling

Description

helper to do row scaling

Usage

row_scale(mat)

Arguments

mat

a matrix


A Neat Way To Show Axis (stable)

Description

A Neat Way To Show Axis

(stable)

Usage

ruta_axis(
  side,
  at,
  tcl = -0.3,
  labels = at,
  las = 1,
  cex.axis = rave_cex.axis,
  cex.lab = rave_cex.lab,
  mgpy = c(3, 0.6, 0),
  mgpx = c(3, 0.75, 0),
  ...
)

Arguments

side

1 to 4: bottom, left, up, right. See axis

at, tcl, labels, las, mgpy, mgpx, ...

passed to axis

cex.axis

tick size

cex.lab

label size

Examples

## Not run: 
# create a blank plot with x from 0 to 10 and y from 1 to 5
plot_clean(0:10, 1:5, xlab = 'X')
ruta_axis(side = 1, at = 1:8)

## End(Not run)

Apply each elements with index as inputs

Description

sapply with an additional index variable, ii

Usage

sapply_ii(X, FUN_, simplify = TRUE, USE.NAMES = TRUE, ...)

Arguments

X

vector or list

FUN_

function to apply on X

simplify, USE.NAMES, ...

passed to sapply


0-1 Scale The Data So We Can Manage The Plot Ranges Easily (stable)

Description

0-1 Scale The Data So We Can Manage The Plot Ranges Easily

(stable)

Usage

scale_01(x)

Arguments

x

data to be rescaled


Convert vector into comma-separated string

Description

Convert vector into comma-separated string

Usage

str_collapse(x, by = ", ", ...)

Arguments

x

the vector to collapse

by

the separating token (default is ', ')

...

further arguments for paste0

Value

a character vector as produced by paste0


Useful For Plotting When You Want To Go A Bit Beyond The Data (experimental)

Description

Useful For Plotting When You Want To Go A Bit Beyond The Data

(experimental)

Usage

stretch(x, pct)

Arguments

x

data

pct

stretch percentage


Function for repeatedly writing plots to PDFs

Description

Function for repeatedly writing plots to PDFs

Usage

to_pdf(PLOT, w, h, mar = rep(1, 4))

Arguments

PLOT

a function that produces a plot

w

the requested width of the PDF

h

the requested height of the PDF

mar

the margins of the PDF, set by a call to par(mar=mar). Defaults to c(1,1,1,1)

Value

A function that takens optional arguments to the PLOT function and fname, the name of the PDF. One-off changes to w, h, and mar, are specified with width, height, and margin, respectively


Trim Data By Standard Error (stable)

Description

Trim Data By Standard Error

(stable)

Usage

trim(x, cutoff = 6)

Arguments

x

data to be trimmed

cutoff

default is 6, then x is clipped +-6 times sd


Mean Of Data After Trimmed (questioning)

Description

Mean Of Data After Trimmed

(questioning)

Usage

trimmed.mean(x, cutoff = 4)

Arguments

x, cutoff

passed to trim


Sd Of Data After Trimmed (questioning)

Description

Sd Of Data After Trimmed

(questioning)

Usage

trimmed.mse(x, cutoff = 4)

Arguments

x, cutoff

passed to trim


like which.min, but for equality useful when an expression for x or y is long

Description

like which.min, but for equality useful when an expression for x or y is long

Usage

which.equal(x, y)

Arguments

x, y

vectors to compare