# freq: Frequency tables In userfriendlyscience: Quantitative Analysis Made Accessible

## Description

Function to show frequencies in a manner similar to what SPSS' "FREQUENCIES" command does. Note that `frequency` is an alias for `freq`.

## Usage

 ```1 2 3 4 5``` ```freq(vector, digits = 1, nsmall=1, transposed=FALSE, round=1, plot=FALSE, plotTheme = theme_bw()) frequencies(..., digits = 1, nsmall = 1, transposed = FALSE, round = 1, plot = FALSE, plotTheme = theme_bw()) ```

## Arguments

 `vector` A vector of values to compute frequencies for. `digits` Minimum number of significant digits to show in result. `nsmall` Minimum number of digits after the decimal point to show in the result. `transposed` Whether to transpose the results when printing them (this can be useful for blind users). `round` Number of digits to round the results to (can be used in conjunction with digits to determine format of results). `plot` If true, a histogram is shown of the variable. `plotTheme` The ggplot2 theme to use. `...` The variables of which to provide frequencies

## Value

An object with several elements, the most notable of which is:

 `dat` A dataframe with the frequencies

For `frequencies`, these objects are in a list of their own.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13``` ```### Create factor vector ourFactor <- factor(mtcars\$gear, levels=c(3,4,5), labels=c("three", "four", "five")); ### Add some missing values factorWithMissings <- ourFactor; factorWithMissings[10] <- factorWithMissings[20] <- NA; ### Show frequencies freq(ourFactor); freq(factorWithMissings); ### ... Or for all of them at one frequencies(ourFactor, factorWithMissings); ```

userfriendlyscience documentation built on May 2, 2019, 1:09 p.m.