htest_tidiers {broom} | R Documentation

## Tidying methods for an htest object

### Description

Tidies hypothesis test objects, such as those from `cor.test`, `t.test`, and `wilcox.test`, into a one-row data frame.

### Usage

    ## S3 method for class 'htest'
    tidy(x, ...)

    ## S3 method for class 'htest'
    glance(x, ...)

### Arguments

`x` | An object of class `"htest"`
`...` | extra arguments (not used)

### Details

No `augment` method is provided for `"htest"`, since there is no sense in which a hypothesis test generates one value for each observation.

### Value

Both `tidy` and `glance` return the same output, a one-row data frame with one or more of the following columns:

`estimate` | Estimate of the effect size
`statistic` | Test statistic used to compute the p-value
`p.value` | P-value
`parameter` | Parameter field in the htest, typically degrees of freedom
`conf.low` | Lower bound on a confidence interval
`conf.high` | Upper bound on a confidence interval
`estimate1` | Sometimes two estimates are computed, such as in a two-sample t-test
`estimate2` | Sometimes two estimates are computed, such as in a two-sample t-test
`method` | Method used to compute the statistic as a string
`alternative` | Alternative hypothesis as a string

Which columns are included depends on the hypothesis test used.

### Examples

    tt <- t.test(rnorm(10))
    tidy(tt)
    glance(tt)  # same output for all htests

    tt <- t.test(mpg ~ am, data = mtcars)
    tidy(tt)

    wt <- wilcox.test(mpg ~ am, data = mtcars)
    tidy(wt)

    ct <- cor.test(mtcars$wt, mtcars$mpg)
    tidy(ct)

[Package broom version 0.4.2 Index]