# t_test: Student's t-Test In apa: Format Outputs of Statistical Tests According to APA Guidelines

## Description

A wrapper for `t.test` which includes the original data in the returned object.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16``` ```t_test(x, ...) ## Default S3 method: t_test( x, y = NULL, alternative = c("two.sided", "less", "greater"), mu = 0, paired = FALSE, var.equal = FALSE, conf.level = 0.95, ... ) ## S3 method for class 'formula' t_test(formula, data, subset, na.action, ...) ```

## Arguments

 `x` a (non-empty) numeric vector of data values. `...` further arguments to be passed to or from methods. `y` an optional (non-empty) numeric vector of data values. `alternative` a character string specifying the alternative hypothesis, must be one of `"two.sided"` (default), `"greater"` or `"less"`. You can specify just the initial letter. `mu` a number indicating the true value of the mean (or difference in means if you are performing a two sample test). `paired` a logical indicating whether you want a paired t-test. `var.equal` a logical variable indicating whether to treat the two variances as being equal. If `TRUE` then the pooled variance is used to estimate the variance otherwise the Welch (or Satterthwaite) approximation to the degrees of freedom is used. `conf.level` confidence level of the interval. `formula` a formula of the form `lhs ~ rhs` where `lhs` is a numeric variable giving the data values and `rhs` a factor with two levels giving the corresponding groups. `data` an optional matrix or data frame (or similar: see `model.frame`) containing the variables in the formula `formula`. By default the variables are taken from `environment(formula)`. `subset` an optional vector specifying a subset of observations to be used. `na.action` a function which indicates what should happen when the data contain `NA`s. Defaults to `getOption("na.action")`.