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select_which gains argument .and.greplongest_affix now correctly returns single character
prefixes. (#40) Thanks to @piosierra for reporting.seq_nrow(x) = seq_len(nrow(x)) for abbreviationfst_columns, fst_nrow the names
nrow of an fst fileif_else now supports raw outputdrop_empty_cols uses is.na(x[1]) rather
than anyNA(x) for higher performance on non-empty columns
and hutilscpp if availabletest_1-3-0_weighted_ntile.R has been modified to skip a
test which relied on old behaviour of package survey. I have not
accompanied this with a major version change.Mode is now less clever and more speedy for sparse
integer inputsgoto_pattern_in an enhancement of
find_pattern_in to jump to a line in RStudio.prohibit_ functions for argument checkingweighted_ntile is less susceptible to integer overflow
(#36)samp works with size > length.provide.file To ensure a file (including its directory)
exists.provide.dir returns the directory requested on
success.%<->% To swap values between objects
average_bearing, the bearing bisecting two
vectors
dir2, (Windows only) a much faster version of
dir()
Mode, statistical mode
replace_pattern_in to find-and-replace on a pattern
in all files in a directory
samp, a ‘safe’ version of
sample.
drop_empty_cols should now be faster, especially when
there are few empty columns.weight2rows supports rows.out < 1 to
produce a sample.weight2rows is now faster for default arguments, by
using the rep(x, w) trick used in
tidyr::uncount.mutate_ntile now works for a variable with
DTfind_pattern_in now accepts
file_contents_ignore_case.find_pattern_in no longer complains about
perl, fixed conflicts.weight2rows:
weighted_quantile, like quantile but for
weighted dataweighted_ntile, like dplyr::ntile but for
weighted datamutate_ntile convenience function for adding new column
with ntilestrim_common_affixes, and associated helpers
longest_prefix and longest_suffix.weight2rows gains a rows.out argument to
specify the number of rows in the result.New functions:
RQ(p, yes, no) short for
if (!requireNamespace("p", quietly = TRUE)) yes else no.isAttached for conveniently determining whether a
namespace is attachedahull for locating rectangles in a plot, as for
automatically locating a text box.Switch vectorized version of switch to
avoid nested if_else’s.drop_grep is an alias for
drop_colr.
Minor changes:
if_else reports a clearer error message when
length(condition) == 1.find_pattern_in respects
include.commentsfind_pattern_in accepts argument
which_lines to allow multiple lines per file, not just the
first (the default).auc: area under the curve given predicted and actual
values.select_grep: select columns matching a pattern.dev_copy2a4: convenience function for copying to an A4
PDF.if_else should be slightly faster when the condition
contains NAs. before: 3.6 ms now 1.5 ms (for 100,000
entries – see vignette)drop_constant_cols first checks whether the first and
second entries are identical before working out the number of unique
values.%notchin% for a ‘safer’ alternative to
%notin%.implies, logical implies.drop_constant_colsprint_transpose_data_table for glimpsing
data tables by rowspow for exponentiation.drop_empty_cols retains non-empty columns when
duplicate names are used.coalesce errors if there is ... wrongly
contains factors.if_else to reflect dplyr’s formals so it can be
a drop-in replacement.missing value in
if_else when length-one condition.NEWS.md file to track changes to the
package.%ein% %enotin% avoid misspellings in
filtersAND, NEITHER, NOR,
OR, nor, neither logical
aliasesdrop_colr drop columns matching patternngrep negate regular expressionselect_which similar to
dplyr::select_ifset_colsuborder change the order of some columns
without affecting the order of othersweight2rows convert a weighted data.table
to an unweighted one by repeating rows by the weightcoalesce and if_else: lightweight versions
of dplyr:: equivalentsset_cols_first|last now respects the order of the
supplied columnsmutate_other now accepts a mass argument
as another way to generate an ‘Other’ column.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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