# Automated Selection and Visualisation of Statistical Hypothesis Tests

## Documentation for package ‘visStatistics’ version 0.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bp.test | Breusch-Pagan Test for Heteroscedasticity
counts_to_cases | Convert data frame of counts to dataframe of cases. The data frame must contain a column with frequencies (counts) as generated by as.data.frame from a contingency table
games.howell | Games-Howell Post-Hoc Test
gh_letters | Get compact letter display from Games-Howell results
levene.test | Levene-Brown-Forsythe Test for Homogeneity of Variance (center = median)
openGraphCairo | Cairo wrapper function with plot capture capability
plot.visstat | Plot method for visstat objects
pooled_normality_test | Test normality using pooled standardized residuals
print.visstat | Print method for visstat objects
saveGraphVisstat | Saves Graphical Output with plot capture capability
summary.visstat | Summary method for visstat objects
visstat | Wrapper for visstat_core Allowing Three Different Input Styles
visstat_core | Automated Visualization of Statistical Hypothesis Testing
vis_anova | ANOVA or Welch's ANOVA with appropriate post-hoc tests
vis_anova_assumptions | Visualisation of the normality distribution of the standardised residuals
vis_group_normality | Visualisation of the normality assumption for Welch ANOVA/t-test
vis_lm_assumptions | Visualisation of the normality distribution of the standardised residuals
vis_numeric | Visualize Numeric Relationships: Regression or Correlation Analysis