https://github.com/rsquaredacademy/descriptr
Generate descriptive statistics
https://github.com/rsquaredacademy/descriptr
descriptive-statistics eda rstats summary-statistics
Last synced: 6 months ago
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Generate descriptive statistics
- Host: GitHub
- URL: https://github.com/rsquaredacademy/descriptr
- Owner: rsquaredacademy
- License: other
- Created: 2016-11-21T06:09:32.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2024-11-08T10:06:53.000Z (11 months ago)
- Last Synced: 2025-03-31T06:02:59.595Z (6 months ago)
- Topics: descriptive-statistics, eda, rstats, summary-statistics
- Language: R
- Homepage: https://descriptr.rsquaredacademy.com/
- Size: 14.5 MB
- Stars: 34
- Watchers: 4
- Forks: 12
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- License: LICENSE
- Support: docs/SUPPORT.html
Awesome Lists containing this project
README
---
output: github_document
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "README-"
)
```
# descriptr
> Generate descriptive statistics
[](https://cran.r-project.org/package=descriptr)
[](https://github.com/rsquaredacademy/descriptr/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/gh/rsquaredacademy/descriptr)
## Installation
```{r cran-installation, eval = FALSE}
# Install release version from CRAN
install.packages("descriptr")
# Install development version from GitHub
# install.packages("devtools")
devtools::install_github("rsquaredacademy/descriptr")
# Install the development version from `rsquaredacademy` universe
install.packages("descriptr", repos = "https://rsquaredacademy.r-universe.dev")
```
## Articles
- [Continuous Data](https://descriptr.rsquaredacademy.com/articles/continuous-data.html)
- [Categorical Data](https://descriptr.rsquaredacademy.com/articles/categorical-data.html)
- [Visualization](https://descriptr.rsquaredacademy.com/articles/visualization.html)
## Usage
We will use a modified version of the `mtcars` data set in the below examples.
The only difference between the data sets is related to the variable types.
```{r load, eval=TRUE, echo=FALSE}
library(descriptr)
```
```{r egdata}
str(mtcarz)
```
### Continuous Data
#### Summary Statistics
```{r descript1}
ds_summary_stats(mtcarz, mpg)
```
#### Frequency Distribution
```{r descript4}
ds_freq_table(mtcarz, mpg)
```
### Categorical Data
#### One Way Table
```{r descript3}
ds_freq_table(mtcarz, cyl)
```
#### Two Way Table
```{r descript2}
ds_cross_table(mtcarz, cyl, gear)
```
### Group Summary
```{r descript5}
ds_group_summary(mtcarz, cyl, mpg)
```
#### Multiple Variable Statistics
```{r descriptr6}
ds_tidy_stats(mtcarz, mpg, disp, hp)
```
## Features
- Summary statistics
- Two way tables
- One way table
- Group wise summary
- Multiple variable statistics
- Multiple one way tables
- Multiple two way tables
## Getting Help
If you encounter a bug, please file a minimal reproducible example using
[reprex](https://reprex.tidyverse.org/index.html) on github. For questions and
clarifications, use [StackOverflow](https://stackoverflow.com/).