Package index
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all2() - Are all values TRUE
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and() - Logical AND with NA tolerance
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any2() - Are any nonmissing values TRUE
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as_na() - Coerce to NA
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csw() - Comma separated words
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dots()dots_char() - Capture unevaluated dots
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fdeparse() - Fast deparse
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fformula() - Fast formula
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fmean() - Fast mean
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fmedian() - Fast median
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fncol() - Fast number of columns in a data frame
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fnrow() - Fast number of rows in a data frame
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fouter() - Fast outer
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fsd() - Fast standard deviation
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fstr_wrap()fstrwrap() - Fast string wrapping
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ftabulate() - Fast tabulate
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fvar() - Fast variance
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glue2() - String interpolation
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`%==%` - Equality operator that is NA-aware
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`%in2%` - Value matching that propagates NA
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is_atomic() - Is object an atomic vector
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is_const() - Is vector constant
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is_date() - Is object class date
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is_date_or_datetime() - Is object class date or datetime
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is_datetime() - Is object class datetime
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is_factor() - Is object a factor vector
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is_formula() - Is object a formula
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is_monotonic_decreasing() - Is vector monotonically decreasing
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is_monotonic_increasing() - Is vector monotonically increasing
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is_probability() - Is object a vector of probabilities
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is_scalar_character() - Is object a scalar character vector
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is_scalar_date() - Is object a scalar date
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is_scalar_date_or_datetime() - Is object a scalar date or datetime
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is_scalar_datetime() - Is object a scalar datetime
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is_scalar_double() - Is object a scalar double-precision vector
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is_scalar_factor() - Is object a scalar factor vector
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is_scalar_integer() - Is object a scalar integer vector
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is_scalar_logical() - Is object a scalar logical vector
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is_scalar_numeric() - Is object a scalar numeric vector
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is_scalar_probability() - Is object a scalar probability
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is_scalar_whole_number() - Is object a scalar whole number
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is_scalar_whole_numeric() - Is object a scalar whole numeric
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is_strict_decreasing() - Is vector strictly decreasing
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is_strict_increasing() - Is vector strictly increasing
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is_string() - Is object a string
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is_whole_number() - Is object a vector of whole numbers
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is_whole_numeric() - Is object a vector of whole numerics
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list_clean() - Clean lists
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list_flatten2() - Flatten a nested list to a single level
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logical_to_integer() - Convert logical values to 0/1
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match.call2() - Argument matching
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middle() - Middle sorted element
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or() - Logical OR with NA tolerance
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quiet() - Suppress printed output
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resample() - Random sample
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reset_rownames()remove_rownames() - Reset data frame row names
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rle2() - Run length encoding
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rm_na()rmna() - Remove missing values
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round2() - Round mixed-type numbers
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rowMaxs() - Row-wise maxima
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rowMaxs2() - Row-wise maxima with NA allowance
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rowMeans2() - Row-wise means with NA allowance
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rowSums2() - Row-wise sums with NA allowance
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seq2() - Nondecreasing integer sequence
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str_trim2() - Remove whitespace