sjmisc

Spec sheet

Purpose

sjmisc provides R utility functions for data and variable transformation, complementing dplyr.Read 11 Oct 2026 · strengejacke.github.io

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.Read 11 Oct 2026 · strengejacke.github.io

Platforms

CRAN lists Windows and macOS binaries, and provides a source package for installation on other supported R environments.Read 11 Oct 2026 · cloud.r-project.org

Deployment

desktopRead 23 Sep 2026 · strengejacke.github.io

Free plan

YesRead 23 Sep 2026 · strengejacke.github.io

Support

The project site links to GitHub for bug reports and source code.Read 11 Oct 2026 · strengejacke.github.io

License

The project site identifies GPL-3 as its license.Read 11 Oct 2026 · strengejacke.github.io

Additional functions

The reference lists tools for standardizing and centering variables, handling missing values, reshaping data, and descriptive statistics.Read 11 Oct 2026 · strengejacke.github.io

Bayesian analysis

NoRead 23 Sep 2026 · strengejacke.github.io

Data tasks

Its functions handle recoding, dichotomizing, grouping variables, and setting or replacing missing values.Read 11 Oct 2026 · strengejacke.github.io

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.Read 11 Oct 2026 · strengejacke.github.io

Install options

The stable release installs from CRAN with install.packages("sjmisc"), and a development snapshot installs from GitHub using devtools.Read 11 Oct 2026 · strengejacke.github.io

Labelled data

The package supports labelled data, including data often imported from SPSS or Stata.Read 11 Oct 2026 · strengejacke.github.io

Maintainer

The project identifies Daniel Lüdecke as author and maintainer.Read 11 Oct 2026 · strengejacke.github.io

Regression models

NoRead 23 Sep 2026 · strengejacke.github.io

Requirements

CRAN lists R version 3.4 or later as a dependency.Read 11 Oct 2026 · cloud.r-project.org

Scripting support

YesRead 23 Sep 2026 · strengejacke.github.io

Statistical tests

NoRead 23 Sep 2026 · strengejacke.github.io

Tidyverse integration

Its functions are designed to work with tidyverse packages such as dplyr and can be used in pipes or with mutate().Read 11 Oct 2026 · strengejacke.github.io

Plans and prices

Every sjmisc plan and price →

Where Specifiction places it

• Statistical Analysis Software#51 of 1067.8