qdap (version 2.4.3)

dist_tab: SPSS Style Frequency Tables

Description

Generates a distribution table for vectors, matrices and dataframes.

Usage

dist_tab(dataframe, breaks = NULL, digits = 2, ...)

Arguments

dataframe

A vector or data.frame object.

breaks

Either a numeric vector of two or more cut points or a single number (greater than or equal to 2) giving the number of intervals into which x is to be cut.

digits

Integer indicating the number of decimal places (round) or significant digits (signif.) to be used. Negative values are allowed

Other variables passed to cut.

Value

Returns a list of data frames (or singular data frame for a vector) of frequencies, cumulative frequencies, percentages and cumulative percentages for each interval.

See Also

cut

Examples

# NOT RUN {
dist_tab(rnorm(10000), 10)
dist_tab(sample(c("red", "blue", "gray"), 100, T), right = FALSE)
dist_tab(CO2, 4)

out1 <- dist_tab(mtcars[, 1:3])
ltruncdf(out1, 4)

out2 <- dist_tab(mtcars[, 1:3], 4)
ltruncdf(out2, 4)

wdst <- with(mraja1spl, word_stats(dialogue, list(sex, fam.aff, died)))
out3 <- dist_tab(wdst$gts[1:4])
ltruncdf(out3, 4)
# }