Learn R Programming

⚠️There's a newer version (1.2.3) of this package.Take me there.

jwutil

master:

v1.1dev:

This is a set of simple utilities for various data manipulation and caching tasks. The goal is to use base tools well, without bringing in any dependencies. Main areas of interest are data frame manipulation, such as converting factors in multiple binary indicator columns, and disk caching of data frames (which is optionally done by date range). There are testing functions which provide testthat extensions to permute arguments to function calls.

install from CRAN

install.packages("jwutil")

install from github

library(devtools)
install_github("jackwasey/jwutil")

Copy Link

Version

Install

install.packages('jwutil')

Monthly Downloads

6

Version

1.1.1

License

GPL-3

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/jackwasey/jwutil

Maintainer

Jack O Wasey

Last Published

October 18th, 2016

Functions in jwutil (1.1.1)

check whether character vector represents all numeric values

add_time_to_date

convert separate lists of dates and times to POSIXlt objects

binary_col_names

names of fields which are numeric, binary or combinations thereof

which elements of a vector are numeric

bad input data for tests

buildLinearFormula

build simple linear formula from variable names

check whether vector represents all integer values, not that the same as is.integer

countNotNumeric

count non-numeric elements

all unique combinations of a vector and all its non-zero subsets

count NA in vector

countNonNaCumulative

running totals of number of non-NA values in consecutive fields

count numeric elements

Takes factors from a data frame and converts them to true/false fields with appropriately named fields.

dropRowsWithNAField

drops rows with NA values in specified fields

countNonNaPairs

count which combinations of fields have at least one non-NA

dput_expect_equal

dput a testthat test

dropDuplicateFields

drop duplicate fields

inverse of %in%

get NA field names from data frame

factorToDataframeLogical

convert factor into a data.frame of logicals

fillMissingCombs

fill out missing combinations of factors with NA

expect_that_combine_all_args

alternative expect_that from testthat which permutes all the inputs to a function which should give the same result where n args >=2 and the function is commutative.

get names of the factor fields in a data frame

get items or numerics that would be dropped in a merge

filter data with diagnostics

extreme_numbers

extreme numbers

trim null or empty values from a list

is the object a Date

determine whether a list is nested

is every row sorted?

trim null or empty values from a list

logicalToBinary

encode TRUE as 1, and FALSE as 0 (integers)

check if a time is valid in 24h clock

opt_binary_brute

optimizes a function for all combinations of all subsets

numbers_to_long_and_float

convert numbers to long and float types

list all functions in a package

Tools for data manipulation not found elsewhere, and testthat extensions

random_test_dates

generate random Dates or POSIXlt test datetimes

random_test_numbers

create extreme random numbers

zero NA values in a data.frame

extract code from knitr vignette and source it

show largest objects

list all items in a package

strip whitespace from ends of each string in given character vector

return proportion of NA values per field

proportion of non-descending rows in matrix

strip all whitespace

generate all permutations of input

recursive remove

permuteWithRepeats

generate all permutations of input, reusing values in each result row

read file from zip at URL

stripForFormula

strip a string so that it can be used as a variable name in a formula.

Proportion of NA values in a vector

platformIsLinux

Are we running on Linux, Mac or Windows?

read_xlsx_linux

read .xlsx file, interpret as CSV, and return a data frame

save_in_data_dir

Save given variable in package data directory

return the actual matches from a bracketed regex

merge lists by names

set_attr_in_place

Set attribute on any SEXP in place

asCharacterNoWarn

convert factor or vector to character without warnings

update a set of data frame field names

asNumericNoWarn

convert factor or vector to numeric without warnings