Compute proportions, percents, or counts for a single level

prop(
  x,
  data = parent.frame(),
  useNA = "no",
  ...,
  success = NULL,
  level = NULL,
  long.names = TRUE,
  sep = ".",
  format = c("proportion", "percent", "count"),
  quiet = TRUE,
  pval.adjust = FALSE
)

prop1(..., pval.adjust = TRUE)

count(x, ...)

perc(x, data = parent.frame(), ..., format = "percent")

Arguments

x: an R object, usually a formula
data: a data frame in which x is to be evaluated
useNA: an indication of how NA's should be handled. By default, they are ignored.
...: arguments passed through to tally()
success: the level for which counts, proportions or percents are calculated
level: Deprecated. Use sucess.
long.names: a logical indicating whether long names should be when there is a conditioning variable
sep: a character used to separate portions of long names
format: one of proportion, percent, or count, possibly abbreviated
quiet: a logical indicating whether messages regarding the success level should be supressed.
pval.adjust: a logical indicating whether the "p-value" adjustment should be applied. This adjustment adds 1 to the numerator and denominator counts.

Details

prop1 is intended for the computation of p-values from randomization distributions and differs from prop only in its default value of pval.adjust.

Note

For 0-1 data, success is set to 1 by default since that a standard coding scheme for success and failure.

Examples

if (require(mosaicData)) {
  prop( ~sex, data=HELPrct)
  prop( ~sex, data=HELPrct, success = "male")
  count( ~sex | substance, data=HELPrct)
  prop( ~sex | substance, data=HELPrct)
  perc( ~sex | substance, data=HELPrct)
}
#> perc_female.alcohol perc_female.cocaine  perc_female.heroin 
#>            20.33898            26.97368            24.19355