======================================================================== memisc: Management of Survey Data and Presentation of Analysis Results ======================================================================== .. toctree:: :hidden: "memisc" on CRAN "memisc" on GitHub .. division:: left-aligned a-no-ul |Current release on GitHub| |CRAN| |Total downloads from RStudio CRAN mirror| |Monthly downloads from RStudio CRAN mirror| The R package *memisc*, which is available at `CRAN `__, provides tools for the management of survey data, as well as the creation of tables of summary statistics and model estimates. 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 :ref:`value labels `, :ref:`definable missing values `, :ref:`recoding of variables `, production of :ref:`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 `__. Also some convenience tools for graphics, programming, and simulation are provided. Development occurs on `GitHub `__, where both `releases `__ and the `development tree `__ can be found. Documentation ============= .. toctree:: :titlesonly: :maxdepth: 1 memisc/userguides memisc/manual-pages memisc/manual-index Recent news =========== .. postlist:: :category: memisc :list-style: disc :format: {title} Examples ======== Below are examples of output created with *memisc*. .. division:: figure w-100 mx-0 .. raw:: html

voteint — 'Vote intention'

"Which party are you going to vote for in the general election next Tuesday?"

Storage mode:double
Measurement:nominal
Valid range:1-9
Values and labelsNPercent
1'Cons'4927.824.5
2'Lab'2614.813.0
3'LibDem'2111.910.5
4'Other'1910.89.5
9'NoVote'6134.730.5
97M'DK'63.0
98M'Refused'73.5
99M'N.a.'115.5
.. division:: caption An example of a codebook for a `survey questionnaire item `__ produced with ``memisc`` .. division:: figure w-100 mx-0 .. raw:: html
Model 1Model 4Model 5
Intercept−1.401***−0.213−1.687***
(0.271)(0.126)(0.294)
Occup. class: Other white collar/Upper white collar1.368***1.287***
(0.373)(0.381)
Occup. class: Blue collar/Upper white collar2.448***2.385***
(0.327)(0.337)
Occup. class: Farmer/Upper white collar1.826***2.039***
(0.413)(0.426)
Religion: Catholic/Protestant0.877***0.685*
(0.243)(0.292)
Religion: Other,none/Protestant0.975**1.191**
(0.347)(0.441)
Nagelkerke R-sq.0.20.10.3
Deviance404.2537.7393.1
AIC412.2543.7405.1
N344402344
.. division:: caption An example of a `table of model estimates `__ produced with ``memisc`` .. |Travis build status| image:: https://travis-ci.org/melff/memisc.svg?branch=master :target: https://travis-ci.org/melff/memisc .. |Current release on GitHub| image:: https://img.shields.io/github/release/melff/memisc.svg :target: https://github.com/melff/memisc/releases/ .. |CRAN| image:: https://www.r-pkg.org/badges/version/memisc :target: https://cran.r-project.org/package=memisc .. |Total downloads from RStudio CRAN mirror| image:: https://cranlogs.r-pkg.org/badges/grand-total/memisc :target: https://cran.r-project.org/package=memisc .. |Monthly downloads from RStudio CRAN mirror| image:: https://cranlogs.r-pkg.org/badges/memisc :target: https://cran.r-project.org/package=memisc