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sjstats  

Collection of Convenient Functions for Common Statistical Computations
View on CRAN: Click here


Download and install sjstats package within the R console
Install from CRAN:
install.packages("sjstats")

Install from Github:
library("remotes")
install_github("cran/sjstats")

Install by package version:
library("remotes")
install_version("sjstats", "0.19.0")



Attach the package and use:
library("sjstats")
Maintained by
Daniel Lüdecke
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-23
Latest Update: 2022-11-19
Description:
Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like Cramer's V, Phi, or effect size statistics like Eta or Omega squared), or for which currently no functions available. Second, another focus lies on weighted variants of common statistical measures and tests like weighted standard error, mean, t-test, correlation, and more.
How to cite:
Daniel Lüdecke (2016). sjstats: Collection of Convenient Functions for Common Statistical Computations. R package version 0.19.0, https://cran.r-project.org/web/packages/sjstats. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2016-05-23 23:37), 0.2.0 (2016-06-20 17:30), 0.3.0 (2016-07-30 09:30), 0.4.0 (2016-08-26 15:40), 0.5.0 (2016-09-26 14:24), 0.6.0 (2016-10-31 16:54), 0.7.0 (2016-12-08 20:38), 0.7.1 (2016-12-18 19:29), 0.8.0 (2017-02-03 14:33), 0.9.0 (2017-03-06 08:29), 0.10.0 (2017-04-11 12:50), 0.10.1 (2017-06-15 00:54), 0.10.2 (2017-06-27 12:37), 0.10.3 (2017-07-24 01:19), 0.11.0 (2017-08-21 11:42), 0.11.1 (2017-09-16 20:51), 0.11.2 (2017-09-28 22:54), 0.12.0 (2017-10-17 01:13), 0.13.0 (2017-11-23 01:41), 0.14.0 (2018-01-14 16:39), 0.14.1 (2018-02-04 16:31), 0.14.2-2 (2018-03-26 01:07), 0.14.2-3 (2018-03-28 00:29), 0.14.2 (2018-03-25 17:02), 0.14.3 (2018-05-02 23:17), 0.15.0 (2018-06-06 10:43), 0.16.0 (2018-07-10 10:00), 0.17.0 (2018-08-20 17:10), 0.17.1 (2018-10-02 16:40), 0.17.2 (2018-11-15 12:50), 0.17.3 (2019-01-07 21:00), 0.17.4 (2019-03-15 17:20), 0.17.5 (2019-06-04 15:10), 0.17.6 (2019-09-09 00:00), 0.17.7 (2019-11-14 16:00), 0.17.8 (2020-01-21 10:20), 0.17.9 (2020-02-06 18:50), 0.18.0 (2020-05-06 09:50), 0.18.1 (2021-01-09 14:50), 0.18.2 (2022-11-19 23:10)
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