arsenal {arsenal} | R Documentation |

## An Arsenal of 'R' Functions for Large-Scale Statistical Summaries

### Description

An Arsenal of 'R' functions for large-scale statistical summaries,
which are streamlined to work within the latest reporting tools in 'R' and 'RStudio' and
which use formulas and versatile summary statistics for summary tables and models.

### Details

The package download, NEWS, and README are available on CRAN: https://cran.r-project.org/package=arsenal

### Functions

Below are listed some of the most widely used functions available in `arsenal`

:

`tableby`

: Summary statistics of a set of independent variables by a categorical variable.

`paired`

: Summary statistics of a set of independent variables paired across two timepoints.

`modelsum`

: Fit models over each of a set of independent variables with a response variable.

`freqlist`

: Approximate the output from SAS's `PROC FREQ`

procedure when using
the `/list`

option of the `TABLE`

statement.

`comparedf`

: Compare two data.frames and report any differences between them,
much like SAS's `PROC COMPARE`

procedure.

`write2word`

, `write2html`

, `write2pdf`

: Functions to output
tables to a single Word, HTML, or PDF document.

`write2`

: Functions to output tables to a single document.
(Also the S3 backbone behind the `write2*`

functions.)

`keep.labels`

: Keep the `'label'`

attribute on an R object when subsetting.

`formulize`

: A shortcut to generate one-, two-, or many-sided formulas.

`mdy.Date`

and `Date.mdy`

: Convert numeric dates for month, day, and year to Date object, and vice versa.

`is.Date`

: Test if an object is a date.

`%nin%`

: Test for "not in".

`allNA`

and `includeNA`

: some useful functions for dealing with NAs.

### Data

`mockstudy`

: Mock study data for examples.

### Examples

```
library(arsenal)
```

[Package

*arsenal* version 3.6.3

Index]