All functions

ash_points()

Compute knot points of an average shifted histogram

coef(<function>)

Extract coefficients from a function

columns() rows()

return a vector of row or column indices

compare()

Campare two numeric vectors

df_stats()

Calculate statistics for "response" variables

dfapply()

apply-type function for data frames

ediff()

Lagged Differences with equal length

evalFormula()

Evaluate a formula

evalSubFormula()

Evaluate a part of a formula

fit_distr_fun()

Fit a distribution to data and return a function

formularise()

Convert lazy objects into formulas

infer_transformation()

Infer a Back-Transformation

inspect() print(<inspected_data_frame>)

Inspect objects

coverage() ci.mean() ci.median() ci.sd() ci.prop()

Interval statistics

joinFrames() joinTwoFrames()

Join data frames

named() unnamed() named_among()

List extraction

logical2factor()

Convert logical vector into factor

logit() ilogit()

Logit and inverse logit functions

makeFun()

Create a function from a formula

make_df()

Convert to a data frame

modelVars()

extract predictor variables from a model

mosaic_tally() mosaic_count()

Internal tally methods

mosaic_formula() mosaic_formula_q()

Convert formulas into standard shapes

print(<msummary.lm>) print(<msummary.glm>) msummary()

Modified summaries

n_missing() n_not_missing() n_total()

Counting missing/non-missing elements

na.warn()

Exclude Missing Data with Warning

nice_names()

Nice names

parse.formula() rhs() lhs() condition() operator()

Parse Formulas

prop() prop1() count() perc()

Compute proportions, percents, or counts for a single level

counts() props() percs()

Compute all proportions or counts

reop_formula()

Insert Inhibition of Interpretation/Conversion into formulas

rhs_or_expr()

Return rhs of a formula or expression

tally() mosaic_tally(<tbl>) mosaic_tally(<data.frame>) mosaic_tally(<formula>)

Tabulate categorical data

vector2df()

Convert a vector to a data frame