R package miscset version r packageVersion("miscset").
A collection of miscellaneous methods to simplify various tasks, including plotting, data.frame and matrix transformations, environment functions, regular expression methods, and string and logical operations, as well as numerical and statistical tools.
Most of the methods are simple but useful wrappers of common base R functions,
which extend S3 generics or provide default values for important parameters.
Install the latest version from CRAN via:
install.packages('miscset')
Install the development version from github via:
install.packages('devtools') devtools::install_github('setempler/miscset@develop', build_vignettes = TRUE)
After installation, load the package via
library(miscset)
If you like to contribute to the development of the packages, please
Get help in an R session via
help.index(miscset)? + function nameciplotPlot a bargraph with error bars. Input data is a list with numeric vectors.
Functions to calculate bar heights (e.g. mean by default) and error bar sizes
(e.g. confint.numeric by default) can be modified (e.g. sd for error bars).
d <- data.frame(a=c(2,1,3,NA,1), b=2:6, c=5:1) ciplot(d)
ggplotGridArrange ggplots on a grid (plot window or pdf file). Supply a list with ggplot
objects and define number of rows and/or columns. If a path is supplied, the
plot is written to that file instead of the internal graphics device.
library(ggplot2) plots <- list( ggplot(d, aes(x = b, y= -c, col = b)) + geom_line(), ggplot(d, aes(x = b, y = -c, shape = factor(b))) + geom_point()) ggplotGrid(plots, ncol = 2)
The function ggplotGridA4 supports direct output to DIN A4 sized pdfs.
gghclGenerate a character vector with html values from a color hue as in ggplot.
d <- data.frame(a=c(2,1,3,NA,1), b=2:6, c=5:1) n <- length(d) gghcl(n) ciplot(d, col = gghcl(n))
plotnCreate an empty plot. Useful to fill layout.
plotn()
sortSort data.frame objects. This extends the functionality of the base R distributed generic sort. Define multiple columns by column names as character vector or expression.
d <- data.frame(a=c(2,1,3,NA,1), b=2:6, c=5:1) print(d) sort(d, by = c("a", "c"))
do.rbindNote: This function is now deprecated. It is recommended to use rbindlist
from the data.table package.
A wrapper function to row-bind data.frame objects in a list with do.call and rbind.
Object names from the list are inserted as additional column.
d <- data.frame(a=c(2,1,3,NA,1), b=2:6, c=5:1) print(d[1:3,]) do.rbind(list(first=d[1:2,], second=d[1:3,]))
enpaireGenerate a pairwise list (data.frame) of a matrix containing row and column id and upper and lower triangle values.
m <- matrix(letters[1:9], 3, 3, dimnames = list(1:3,1:3)) print(m) enpaire(m)
squarematrixGenerate a symmetric (square) matrix from an unsymmetric one using column and row names.
Fills empty cells with NA.
m <- matrix(letters[1:9], 3, 3, dimnames = list(1:3,1:3)) print(m[-1,]) squarematrix(m[-1,])
textablePrint a data.frame as latex table. Extends xtable by optionally including a latex header,
and if desired writing the output to a file directly and calling a system command to convert
it to a .pdf file, for example.
d <- data.frame(a=c(2,1,3,NA,1), b=2:6, c=5:1) textable(d, caption = 'miscset vignette example data.frame', as.document = TRUE)
help.indexShow the help index page of a package (with the list of all help pages of a package).
help.index(miscset)
lloadLoad multiple R data objects into a list. List is of same length as number of files provided. Sublists contain all respective objects. Simplification is possible if all names are unique.
lload("folder/with/rdata/", "test*.RData")
lsallReturn all current workspace (or any custom) object names, lengths, classes, modes and sizes in a data.frame.
lsall()
rmallRemove all objects from the current or custom environment.
rmall()
mgreplSearch for multiple patterns in a character vector. Merge results by (custom) logical functions
(e.g. any, all) and use mutlicore support from the parallel package.
Optionally return the index (as with which).
Use identity to return a matrix with the results of each pattern per row.
s <- c("ab","ac","bc", NA) mgrepl(c("a","b"), s) mgrepl(c("a","b"), s, any) # similar to: grepl("a|b", s) mgrepl(c("a", "b"), s, sum) mgrepl(c("a","b"), s, identity)
gregexprindRetreive the nth or "last" index of an expression found in a character string.
gregexprind(c("a"), c("ababa","ab","xyz",NA), 1) gregexprind(c("a"), c("ababa","ab","xyz",NA), 2) gregexprind(c("a"), c("ababa","ab","xyz",NA), "last")
collapseTo collapse vectors, usually a call to paste or paste0 setting the argument
collapse is applied. The collapse function is a wrapper of this functionality
applied to a single vector. It can be extended with the .unique, .sort and
.decreasing arguments, to return only unique and sorted values.
paste(letters, collapse = "") collapse(letters)
The data.frame method allows to collapse a data frame by identifier/grouping
columns (specified with by). Each group piece has then all value columns
collapsed with the default method.
In addition, the value columns can be collapsed to vectors, when sep = NULL
is selected, keeping a list of vectors for this column in the returned
data frame. .sortby allows to choose if the result should be sorted by
the grouping columns. .unlist provides a way to unlist value columns per
group, which is useful if the input has list columns.
# create example data set.seed(12) s <- s2 <- sample(LETTERS[1:4], 9, replace = TRUE) s2[1:2] <- rev(s2[1:2]) d <- data.frame(group = rep(letters[c(3,1,2)], each = 3), value = s, level = factor(s2), stringsAsFactors = FALSE) print(d)
The following (default settings) collapses by all columns, which results in an output
similar to unique(d), but the row names are not kept.
collapse(d)
Specifying no grouping columns (setting by to 0 or NULL) collapses all columns.
collapse(d, by = NULL)
Specifying at least one and maximum less than the total columns groups the data.frame,
splits it into group pieces, and applies the collapsing to all remaining columns.
collapse(d, "/", 1)
If the separator sep is not specified, the data.frame method allows to return list
columns, containing vectors of values per group. With the .sortby argument, the
ouptut can be sorted on the grouping values.
# by first column, but keep values as vectors collapse(d, NULL, c(1,3), .sortby = T)
The data.frame method also works on data.table objects, since it uses the methods
from the package of the same name to split the input into group pieces. If the input
inherits from data.table, the class is retained.
leading0Prepend 0 characters to numbers to generate equally sized strings.
leading0(c(9, 112, 5009))
strextrNote: This function is now deprecated. It is recommended to use str_extract or
str_extract_all from the stringr package.
Split strings by a separator (sep) and extract all substrings matching a pattern.
Optionally allow multiple matches, and use multicore support from the parallel package.
s <- "xa,xb,xn,ya,yb" strextr(s, "n$", ",") strextr(s, "^x", ",", mult=T) library(stringr) str_extract(s, "[^,]*n") str_extract_all(s, "x[^,]*")
str_partSimilar to strextr, but extracting substrings is done by setting an index value n.
Optionally roll the last value to n if it's index is less.
s <- "xa,xb,xn,ya,yb" str_part(s, ",", 3)
str_revCreate reverse version of strings of a character vector.
str_rev(c("olleH", "!dlroW"))
duplicates and duplicateiDetermine duplicates. Return either a logical vector (duplicates) or an integer index
(duplicatei). Extends the base method duplicated by also returning TRUE for the
first occurence of a value.
data.frame( duplicate = d$a, ".d" = duplicated(d$a), # standard R function ".s" = duplicates(d$a), ".i" = duplicatei(d$a))
p2starAsign range symbols to values, e.g. convert p-values to significance characters.
p2star(c(0.003, 0.049, 0.092, 0.431))
confint.numericCalculate confidence intervals. Extends the base method confint to numeric vectors.
n <- c(2,1,3,NA,1) confint(n, ret.attr = FALSE)
ntriGenerate a series of triangular numbers of length n according to
OEIS#A000217. The series for 12 rows of a triangle,
for example, can be returned as in the following example.
ntri(12)
scale0 and scalerScale numeric vectors to a range of 0 to 1 with scale0 or to a custom output range r and input range b with scaler.
n <- 5:1 scale0(n) scaler(n, c(2, 6), b = c(1, 10))
nunique and uniqueiReturn the amount (with nunique) or index (with uniquei) of unique values in a vector. Extends plyr::nunique by allowing NA values to be counted as a 'level'.
n <- c(2,1,3,NA,1) nunique(n) nunique(n, FALSE) uniquei(n) uniquei(n, FALSE)
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