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Tools for Managing Survey Data, Creating Tables of Estimates and Data Summaries
melff/memisc
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One of the aims of this package is to make life easier for useRs who deal withsurvey data sets. It provides an infrastructure for the management of surveydata includingvalue labels,definable missing values,recoding of variables,production ofcodebooks, andimport of (subsets of) SPSS and Statafiles. Further, it provides functionality to producetables and data frames ofarbitrary descriptive statistics and (almost) publication-readytables ofregression model estimates, which can be exported toLaTeX andHTML.
Releases will be published onCRAN. (Pre-)Releases are also available fromGitHub insource and binary form. To install from the sources on GitHub you can useremotes::install_github("melff/memisc",subdir="pkg"). The most convenient way to install the current development version of the package however is frommelff.r-universe.dev were you can find binaries for Windows, macOS, Linux, and webasm. Probably the easiest way of installation from R isinstall.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
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Tools for Managing Survey Data, Creating Tables of Estimates and Data Summaries
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