# Tapply: Apply a Function to a Variable Within Factor Levels In car: Companion to Applied Regression

 Tapply R Documentation

## Apply a Function to a Variable Within Factor Levels

### Description

Applies a function, typically to compute a single statistic, like a mean, median, or standard deviation, within levels of a factor or within combinations of levels of two or more factors to produce a table of statistics. This function provides a formula interface to the standard R `tapply` function.

### Usage

```Tapply(formula, fun, data, na.action = na.pass, ..., targs = list())
```

### Arguments

 `formula` a two-sided formula of the form `variable ~ factor.1 + factor.2 + ... + factor.n` or, equivalently, `variable ~ factor.1*factor.2* ... *factor.n`. The variables on the right-hand side of the formula are normally factors or are otherwise coerced to factors. `fun` a function, like `mean`, `median`, or `sd`, that takes a vector first argument and typically returns a single number as its value. `data` an optional data frame within which to find the variable and factor(s). `na.action` a function to handle missing values, as in statistical modeling functions like `lm`; the default is `na.pass`. `...` arguments to pass to the function given in the `fun` argument, such as (commonly) `na.rm=TRUE`. `targs` a list of optional arguments to pass to `tapply`.

### Details

The function given by `fun` is applied to the values of the left-hand-side variable in `formula` within (combination of) levels of the factor(s) given in the right-hand side of `formula`, producing a table of statistics.

### Value

The object returned by `tapply`, typically simply printed.

### Author(s)

John Fox jfox@mcmaster.ca

### References

Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition. Sage.

`tapply`.

### Examples

```Tapply(conformity ~ partner.status + fcategory, mean, data=Moore)
Tapply(conformity ~ partner.status + fcategory, mean, data=Moore,
trim=0.2)

Moore[1, 2] <- NA
Tapply(conformity ~ partner.status + fcategory, mean, data=Moore)
Tapply(conformity ~ partner.status + fcategory, mean, data=Moore,
na.rm=TRUE)
Tapply(conformity ~ partner.status + fcategory, mean, data=Moore,
na.action=na.omit)  # equivalent
remove("Moore")
```

car documentation built on Oct. 20, 2022, 1:05 a.m.