# prop: Compute proportions, percents, or counts for a single level In ProjectMOSAIC/mosaicCore: Common Utilities for Other MOSAIC-Family Packages

## Description

Compute proportions, percents, or counts for a single level

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10``` ```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

 ```1 2 3 4 5 6 7``` ```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) } ```

ProjectMOSAIC/mosaicCore documentation built on Sept. 22, 2018, 5:27 p.m.