sjstats v0.17.9

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Collection of Convenient Functions for Common Statistical Computations

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.

Readme

sjstats - Collection of Convenient Functions for Common Statistical Computations

DOI

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 effict 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.

The comprised tools include:

  • Especially for mixed models: design effect, sample size calculation
  • Especially for Bayesian models: mediation analysis
  • For anova-tables: Eta-squared, Partial Eta-squared, Omega-squared, Partial Omega-squared and Epsilon-squared statistics
  • Weighted statistics and tests for: mean, median, standard error, standard deviation, correlation, Chi-squared test, t-test, Mann-Whitney-U-test

Documentation

Please visit https://strengejacke.github.io/sjstats/ for documentation and vignettes.

Installation

Latest development build

To install the latest development snapshot (see latest changes below), type following commands into the R console:

library(devtools)
devtools::install_github("strengejacke/sjstats")

Officiale, stable release

CRAN_Status_Badge    downloads    total

To install the latest stable release from CRAN, type following command into the R console:

install.packages("sjstats")

Citation

In case you want / have to cite my package, please use citation('sjstats') for citation information.

DOI

Functions in sjstats

Name Description
efc Sample dataset from the EUROFAMCARE project
boot_ci Standard error and confidence intervals for bootstrapped estimates
anova_stats Effect size statistics for anova
cv_error Test and training error from model cross-validation
bootstrap Generate nonparametric bootstrap replications
design_effect Design effects for two-level mixed models
auto_prior Create default priors for brms-models
cv Compute model quality
cramer Measures of association for contingency tables
chisq_gof Compute model quality
mwu Mann-Whitney-U-Test
nhanes_sample Sample dataset from the National Health and Nutrition Examination Survey
means_by_group Summary of mean values by group
mediation Summary of Bayesian multivariate-response mediation-models
is_prime Find prime numbers
mean_n Row means with min amount of valid values
prop Proportions of values in a vector
gmd Gini's Mean Difference
inequ_trend Compute trends in status inequalities
odds_to_rr Get relative risks estimates from logistic regressions or odds ratio values
samplesize_mixed Sample size for linear mixed models
r2 Deprecated functions
find_beta Determining distribution parameters
fish Sample dataset
se_ybar Standard error of sample mean for mixed models
var_pop Calculate population variance and standard deviation
reexports Objects exported from other packages
weight Weight a variable
scale_weights Rescale design weights for multilevel analysis
sjstats-package Collection of Convenient Functions for Common Statistical Computations
survey_median Weighted statistics for tests and variables
svyglm.nb Survey-weighted negative binomial generalised linear model
table_values Expected and relative table values
svyglm.zip Survey-weighted zero-inflated Poisson model
tidy_stan Tidy summary output for stan models
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Vignettes of sjstats

Name
anova-statistics.Rmd
bayesian-statistics.Rmd
mixedmodels-statistics.Rmd
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