This is a set of simple utilities for various data manipulation and testing tasks. The goal is to use base tools well, without bringing in many dependencies. Main areas of interest are semi-automated data frame manipulation, such as converting factors in multiple binary indicator columns. There are testing functions which provide 'testthat' expectations to permute arguments to function calls. There are functions and data to test extreme numbers, dates, and bad input of various kinds which should allow testing failure and corner cases, which can be used for fuzzing your functions. The test suite has many examples of usage.
|Author||Jack O. Wasey [aut, cre, cph]|
|Date of publication||2016-10-18 10:46:33|
|Maintainer||Jack O. Wasey <email@example.com>|
add_time_to_date: convert separate lists of dates and times to POSIXlt objects
affixFields: update a set of data frame field names
allIsInteger: check whether vector represents all integer values, not that...
allIsNumeric: check whether character vector represents all numeric values
areNumeric: which elements of a vector are numeric
asCharacterNoWarn: convert factor or vector to character without warnings
asNumericNoWarn: convert factor or vector to numeric without warnings
bad_input: bad input data for tests
binary_col_names: names of fields which are numeric, binary or combinations...
buildLinearFormula: build simple linear formula from variable names
combn_subset: all unique combinations of a vector and all its non-zero...
countIsNa: count NA in vector
countNonNaCumulative: running totals of number of non-NA values in consecutive...
countNonNaPairs: count which combinations of fields have at least one non-NA
countNotNumeric: count non-numeric elements
countNumeric: count numeric elements
dput_expect_equal: dput a testthat test
dropDuplicateFields: drop duplicate fields
dropRowsWithNAField: drops rows with NA values in specified fields
expandFactors: Takes factors from a data frame and converts them to...
expect_that_combine_all_args: alternative 'expect_that' from 'testthat' which permutes all...
extreme_numbers: extreme numbers
factorToDataframeLogical: convert factor into a data.frame of logicals
fillMissingCombs: fill out missing combinations of factors with NA
filterBetter: filter data with diagnostics
flattenList: flatten a list
getDropped: get items or numerics that would be dropped in a merge
getFactorNames: get names of the factor fields in a data frame
getNAFields: get NA field names from data frame
grapes-nin-grapes: inverse of %in%
invwhich: inverse which
is.Date: is the object a 'Date'
isFlat: determine whether a list is nested
isRowSorted: is every row sorted?
isValidTime: check if a time is valid in 24h clock
jwutil-package: Tools for data manipulation not found elsewhere, and testthat...
listTrim: trim null or empty values from a list
listTrimFlat: trim null or empty values from a list
logicalToBinary: encode TRUE as 1, and FALSE as 0 (integers)
lsf: list all functions in a package
lsos: show largest objects
lsp: list all items in a package
mergeBetter: merge better
mergeLists: merge lists by names
numbers_to_long_and_float: convert numbers to long and float types
opt_binary_brute: optimizes a function for all combinations of all subsets
permute: generate all permutations of input
permuteWithRepeats: generate all permutations of input, reusing values in each...
platformIsLinux: Are we running on Linux, Mac or Windows?
propIsNa: Proportion of NA values in a vector
propNaPerField: return proportion of NA values per field
propRowSorted: proportion of non-descending rows in matrix
random_test_dates: generate random Dates or POSIXlt test datetimes
random_test_numbers: create extreme random numbers
read_xlsx_linux: read '.xlsx' file, interpret as CSV, and return a data frame
read.zip.url: read file from zip at URL
rm_r: recursive remove
save_in_data_dir: Save given variable in package data directory
set_attr_in_place: Set attribute on any SEXP in place
source_purl: extract code from knitr vignette and source it
strip: strip all whitespace
stripForFormula: strip a string so that it can be used as a variable name in a...
strMultiMatch: return the actual matches from a bracketed regex
trim: strip whitespace from ends of each string in given character...
zero_na: zero NA values in a data.frame