# sjstats v0.17.9

Monthly downloads

## 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

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

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.

## 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 | |

No Results! |

## Vignettes of sjstats

Name | ||

anova-statistics.Rmd | ||

bayesian-statistics.Rmd | ||

mixedmodels-statistics.Rmd | ||

No Results! |

## Last month downloads

## Details

Type | Package |

Encoding | UTF-8 |

License | GPL-3 |

URL | https://github.com/strengejacke/sjstats, https://strengejacke.github.io/sjstats |

BugReports | https://github.com/strengejacke/sjstats/issues |

RoxygenNote | 7.0.2 |

VignetteBuilder | knitr |

NeedsCompilation | no |

Packaged | 2020-02-06 11:02:12 UTC; mail |

Repository | CRAN |

Date/Publication | 2020-02-06 17:50:02 UTC |

imports | bayestestR (>= 0.4.0) , broom , dplyr (>= 0.8.1) , effectsize , emmeans , insight (>= 0.8.0) , lme4 , magrittr , MASS , modelr , parameters (>= 0.4.0) , performance (>= 0.4.0) , purrr , rlang , sjlabelled (>= 1.1.1) , sjmisc (>= 2.8.2) , stats , tidyr |

suggests | brms , car , coin , ggplot2 , graphics , httr , knitr , mediation , nlme , pbkrtest (>= 0.4-7) , pscl , pwr , rstan , rstanarm , sandwich , sjPlot , survey , testthat , VGAM , Zelig |

depends | R (>= 3.2) , utils |

Contributors |

#### Include our badge in your README

```
[![Rdoc](http://www.rdocumentation.org/badges/version/sjstats)](http://www.rdocumentation.org/packages/sjstats)
```