distTab: SPSS Style Frequency Tables

In trinker/qdap2: Bridging the gap between qualitative data and quantitative analysis

Description

Generates a distribution table for vectors, matrices and dataframes.

Usage

  distTab(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

distTab(rnorm(10000), 10)
distTab(sample(c("red", "blue", "gray"), 100, T), right = FALSE)
distTab(CO2, 4)

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

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

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

trinker/qdap2 documentation built on May 31, 2019, 9:47 p.m.