memisc: Tools for Management of Survey Data and the Presentation of Analysis Results

One of the aims of this package is to make life easier for R users who deal with survey data sets. It provides an infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files. Further, it provides functionality to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.

Version: 0.99.7-1
Depends: R (≥ 3.0.0), lattice, stats, methods, utils, MASS
Imports: grid
Suggests: splines, knitr, rmarkdown
Enhances: AER, car, eha, lme4, ordinal, simex
Published: 2016-07-09
Author: Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Achim Zeileis)
Maintainer: Martin Elff <memisc at>
License: GPL-2
NeedsCompilation: yes
Materials: NEWS ChangeLog
In views: OfficialStatistics, ReproducibleResearch
CRAN checks: memisc results


Reference manual: memisc.pdf
Vignettes: Analysing the American National Election Study of 1948 with "memisc"
Combining flattened contingency tables (and other tables)
Handling questionnaire items with "memisc"
"mtable" results in HTML format
Package source: memisc_0.99.7-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: memisc_0.99.7-1.tgz, r-oldrel: memisc_0.99.7-1.tgz
Old sources: memisc archive

Reverse dependencies:

Reverse depends: MicroDatosEs, Rz, StratSel
Reverse imports: eeptools, intsvy, munfold
Reverse suggests: gmnl, pander, questionr, Rchoice
Reverse enhances: labelled, mclogit