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sjmisc

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sjmisc

Free

GPL-3 licensed R package

Every plan, in full

On the record

Additional functions
The reference lists tools for standardizing and centering variables, handling missing values, reshaping data, and descriptive statistics.strengejacke.github.io · read 11 Oct 2026
Bayesian analysis
Nostrengejacke.github.io · read 23 Sep 2026
Data tasks
Its functions handle recoding, dichotomizing, grouping variables, and setting or replacing missing values.strengejacke.github.io · read 11 Oct 2026
Deployment
desktopstrengejacke.github.io · read 23 Sep 2026
Function inputs
The design guide says transformation functions can take a vector or data frame as their first argument and return an object of the same type.strengejacke.github.io · read 11 Oct 2026
Install options
The stable release installs from CRAN with install.packages("sjmisc"), and a development snapshot installs from GitHub using devtools.strengejacke.github.io · read 11 Oct 2026
Intended users
The project describes the package as addressing data-preparation needs in research, especially for users working with labelled data from other statistical software.strengejacke.github.io · read 11 Oct 2026
Labelled data
The package supports labelled data, including data often imported from SPSS or Stata.strengejacke.github.io · read 11 Oct 2026
License
The project site identifies GPL-3 as its license.strengejacke.github.io · read 11 Oct 2026
Maintainer
The project identifies Daniel Lüdecke as author and maintainer.strengejacke.github.io · read 11 Oct 2026
Purpose
sjmisc provides R utility functions for data and variable transformation, complementing dplyr.strengejacke.github.io · read 11 Oct 2026
Regression models
Nostrengejacke.github.io · read 23 Sep 2026
Requirements
CRAN lists R version 3.4 or later as a dependency.cloud.r-project.org · read 11 Oct 2026
Scripting support
Yesstrengejacke.github.io · read 23 Sep 2026
Statistical tests
Nostrengejacke.github.io · read 23 Sep 2026
Support
The project site links to GitHub for bug reports and source code.strengejacke.github.io · read 11 Oct 2026
Tidyverse integration
Its functions are designed to work with tidyverse packages such as dplyr and can be used in pipes or with mutate().strengejacke.github.io · read 11 Oct 2026

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