https://github.com/melff/memisc

Tools for Managing Survey Data, Creating Tables of Estimates and Data Summaries
https://github.com/melff/memisc

cran r r-package rstats survey-data

Last synced: 13 days ago
JSON representation

Tools for Managing Survey Data, Creating Tables of Estimates and Data Summaries

• Host: GitHub
• URL: https://github.com/melff/memisc
• Owner: melff
• Created: 2015-01-24T01:21:55.000Z (almost 10 years ago)
• Default Branch: main
• Last Pushed: 2023-12-19T23:05:09.000Z (12 months ago)
• Last Synced: 2023-12-20T13:53:32.233Z (12 months ago)
• Topics: cran, r, r-package, rstats, survey-data
• Language: R
• Homepage: https://melff.github.io/memisc
• Size: 7.89 MB
• Stars: 39
• Watchers: 5
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• jimsghstars - melff/memisc - Tools for Managing Survey Data, Creating Tables of Estimates and Data Summaries (R)

README

        
# memisc 

### Tools for Managing Survey Data and Creating Tables of Estimates and Data Summaries

[![Travis build status](https://api.travis-ci.com/melff/memisc.svg?branch=master)](https://app.travis-ci.com/github/melff/memisc) 

[![Current release on GitHub](http://img.shields.io/github/release/melff/memisc.svg)](http://github.com/melff/memisc/releases/)

One of the aims of this package is to make life easier for useRs who deal with

survey data sets. It provides an infrastructure for the management of survey

data including [value labels](https://melff.github.io/memisc/reference/labels.html), [definable missing values](https://melff.github.io/memisc/reference/value-filters.html), [recoding](https://melff.github.io/memisc/reference/recode.html) of variables,

production of [codebooks](https://melff.github.io/memisc/reference/codebook.html), and [import of (subsets of) SPSS and Stata

files](https://melff.github.io/memisc/reference/importers.html). Further, it provides functionality to produce [tables and data frames of

arbitrary descriptive statistics](https://melff.github.io/memisc/reference/genTable.html) and (almost) publication-ready [tables of

regression model estimates](https://melff.github.io/memisc/reference/mtable.html), which can be exported to [LaTeX](reference/mtable-format-latex.html) and [HTML](https://melff.github.io/memisc/reference/mtable-format-html.html).

Releases will be published on [CRAN](http://cran.r-project.org/web/packages/memisc/). (Pre-)Releases are also available from [GitHub](https://github.com/melff/memisc) in

source and binary form. To install from the sources on GitHub you can use `remotes::install_github("melff/memisc",subdir="pkg")`. The most convenient way to install the current development version of the package however is from [melff.r-universe.dev](https://melff.r-universe.dev/memisc) were you can find binaries for Windows, macOS, Linux, and webasm. Probably the easiest way of installation from R is `install.packages("memisc", repos = c("https://melff.r-universe.dev", "https://cloud.r-project.org"))`

The package has a DOI now: [10.32614/CRAN.package.memisc](https://doi.org/10.32614/CRAN.package.memisc)