How to Install and Uninstall r-cran-psych Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 07,2024

1. Install "r-cran-psych" package

In this section, we are going to explain the necessary steps to install r-cran-psych on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install r-cran-psych

2. Uninstall "r-cran-psych" package

Please follow the instructions below to uninstall r-cran-psych on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove r-cran-psych $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-psych package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-psych
Architecture: all
Version: 1.9.12.31-2build1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4079
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mnormt, r-cran-lattice, r-cran-nlme
Recommends: r-cran-sem, r-cran-gparotation, r-cran-psychtools
Suggests: r-cran-lavaan, r-cran-lme4, r-bioc-graph
Filename: pool/universe/r/r-cran-psych/r-cran-psych_1.9.12.31-2build1_all.deb
Size: 3727572
MD5sum: 3140d37f6f57e816e528c3693aab8eeb
SHA1: 87c40499a42f3754f6d489fbbbfbe3b81547a46a
SHA256: ad9d24aecd863e9273992ccac4541798a905dc2b3d8a17f602131e776001ad06
SHA512: 1f6888382379b230d9ffca1389a286fe0f173f0e6b5d65f89a17e9e759632d95c7b6cf5c99c5cbf48129ee73150616fd8da615eacdaba2875b8c8ece858341ae
Homepage: https://cran.r-project.org/package=psych
Description-en: GNU R procedures for psychological, psychometric, and personality research
This GNU R package provides a general purpose toolbox for personality,
psychometric theory and experimental psychology. Functions are primarily
for multivariate analysis and scale construction using factor
analysis, principal component analysis, cluster analysis and
reliability analysis, although others provide basic descriptive
statistics. Item Response Theory is done using factor analysis of
tetrachoric and polychoric correlations. Functions for analyzing
data at multiple levels include within and between group
statistics, including correlations and factor analysis. Functions
for simulating and testing particular item and test structures are
included. Several functions serve as a useful front end for
structural equation modeling. Graphical displays of path diagrams,
factor analysis and structural equation models are created using
basic graphics. Some of the functions are written to support a
book on psychometric theory as well as publications in personality
research.
Description-md5: 8cf44e7443d73a23242a90e11281c15e