# Pipe-Friendly Framework for Basic Statistical Tests

## Documentation for package ‘rstatix’ version 1.1.0

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

## Help Pages

A B C D E F G I K L M O P R S T W

## -- A --

add_cld | Compact Letter Display of All-Pairwise Comparisons
add_significance | Add P-value Significance Symbols
add_xy_position | Autocompute P-value Positions For Plotting Significance
add_x_position | Autocompute P-value Positions For Plotting Significance
add_y_position | Autocompute P-value Positions For Plotting Significance
adjust_pvalue | Adjust P-values for Multiple Comparisons
anova_summary | Create Nice Summary Tables of ANOVA Results
anova_test | Anova Test
as_cor_mat | Convert a Correlation Test Data Frame into a Correlation Matrix

## -- B --

binom_test | Exact Binomial Test
box_m | Box's M-test for Homogeneity of Covariance Matrices

## -- C --

check_test_assumptions | Check One-Way Assumptions and Recommend the Test
chisq_descriptives | Chi-squared Test for Count Data
chisq_test | Chi-squared Test for Count Data
cliff_delta | Cliff's Delta Effect Size for Ordinal / Non-parametric Comparisons
cochran_qtest | Cochran's Q Test
cohens_d | Compute Cohen's d Measure of Effect Size
conover_test | Conover's All-Pairs Rank Comparison Test
convert_as_factor | Factors
cor_as_symbols | Replace Correlation Coefficients by Symbols
cor_gather | Reshape Correlation Data
cor_get_pval | Compute Correlation Matrix with P-values
cor_mark_significant | Add Significance Levels To a Correlation Matrix
cor_mat | Compute Correlation Matrix with P-values
cor_plot | Visualize Correlation Matrix Using Base Plot
cor_pmat | Compute Correlation Matrix with P-values
cor_reorder | Reorder Correlation Matrix
cor_select | Subset Correlation Matrix
cor_spread | Reshape Correlation Data
cor_test | Correlation Test
counts_to_cases | Convert a Table of Counts into a Data Frame of cases
cramer_v | Compute Cramer's V
create_test_label | Extract Label Information from Statistical Tests

## -- D --

df_arrange | Arrange Rows by Column Values
df_get_var_names | Get User Specified Variable Names
df_group_by | Group a Data Frame by One or more Variables
df_label_both | Functions to Label Data Frames by Grouping Variables
df_label_value | Functions to Label Data Frames by Grouping Variables
df_nest_by | Nest a Tibble By Groups
df_select | Select Columns in a Data Frame
df_split_by | Split a Data Frame into Subset
df_unite | Unite Multiple Columns into One
df_unite_factors | Unite Multiple Columns into One
doo | Alternative to dplyr::do for Doing Anything
dunnett_test | Dunnett's Many-to-One Comparisons Test
dunn_test | Dunn's Test of Multiple Comparisons

## -- E --

emmeans_test | Pairwise Comparisons of Estimated Marginal Means
eta_squared | Effect Size for ANOVA
expected_freq | Chi-squared Test for Count Data

## -- F --

factorial_design | Build Factorial Designs for ANOVA
fisher_test | Fisher's Exact Test for Count Data
fligner_test | Fligner-Killeen Test
freq_table | Compute Frequency Table
friedman_conover_test | Conover's All-Pairs Comparisons Test for Friedman Rank Sums
friedman_effsize | Friedman Test Effect Size (Kendall's W Value)
friedman_nemenyi_test | Nemenyi Post-Hoc Test for Friedman Rank Sums
friedman_test | Friedman Rank Sum Test

## -- G --

games_howell_test | Games Howell Post-hoc Tests
get_anova_table | Anova Test
get_comparisons | Create a List of Possible Comparisons Between Groups
get_description | Extract Label Information from Statistical Tests
get_emmeans | Pairwise Comparisons of Estimated Marginal Means
get_mode | Compute Mode
get_n | Extract Label Information from Statistical Tests
get_pwc_label | Extract Label Information from Statistical Tests
get_summary_stats | Compute Summary Statistics
get_test_label | Extract Label Information from Statistical Tests
get_y_position | Autocompute P-value Positions For Plotting Significance
glance.rstatix_test | Tidy an rstatix Test Result

## -- I --

identify_outliers | Identify Univariate Outliers Using Boxplot Methods
is_extreme | Identify Univariate Outliers Using Boxplot Methods
is_outlier | Identify Univariate Outliers Using Boxplot Methods

## -- K --

kruskal_effsize | Kruskal-Wallis Effect Size
kruskal_test | Kruskal-Wallis Test
ks_test | Two-Sample Kolmogorov-Smirnov Test

## -- L --

levene_test | Levene's Test

## -- M --

mahalanobis_distance | Compute Mahalanobis Distance and Flag Multivariate Outliers
make_clean_names | Make Clean Names
mcnemar_test | McNemar's Chi-squared Test for Count Data
mshapiro_test | Shapiro-Wilk Normality Test
multinom_test | Exact Multinomial Test

## -- O --

observed_freq | Chi-squared Test for Count Data
omega_squared | Omega Squared for ANOVA

## -- P --

pairwise_binom_test | Exact Binomial Test
pairwise_binom_test_against_p | Exact Binomial Test
pairwise_chisq_gof_test | Chi-squared Test for Count Data
pairwise_chisq_test_against_p | Chi-squared Test for Count Data
pairwise_fisher_test | Fisher's Exact Test for Count Data
pairwise_mcnemar_test | McNemar's Chi-squared Test for Count Data
pairwise_prop_test | Proportion Test
pairwise_sign_test | Sign Test
pairwise_t_test | T-test
pairwise_wilcox_test | Wilcoxon Tests
partial_eta_squared | Effect Size for ANOVA
partial_omega_squared | Omega Squared for ANOVA
pearson_residuals | Chi-squared Test for Count Data
plot.anova_test | Anova Test
posthoc_test | Choose and Run the Appropriate Post-Hoc Test
print.anova_test | Anova Test
print.posthoc_test | Choose and Run the Appropriate Post-Hoc Test
prop_test | Proportion Test
prop_trend_test | Test for Trend in Proportions
pull_lower_triangle | Pull Lower and Upper Triangular Part of a Matrix
pull_triangle | Pull Lower and Upper Triangular Part of a Matrix
pull_upper_triangle | Pull Lower and Upper Triangular Part of a Matrix
p_adj_names | Rounding and Formatting p-values
p_detect | Rounding and Formatting p-values
p_format | Rounding and Formatting p-values
p_mark_significant | Rounding and Formatting p-values
p_names | Rounding and Formatting p-values
p_round | Rounding and Formatting p-values

## -- R --

remove_ns | Remove Non-Significant from Statistical Tests
reorder_levels | Factors
replace_lower_triangle | Replace Lower and Upper Triangular Part of a Matrix
replace_triangle | Replace Lower and Upper Triangular Part of a Matrix
replace_upper_triangle | Replace Lower and Upper Triangular Part of a Matrix
row_wise_fisher_test | Fisher's Exact Test for Count Data
row_wise_prop_test | Proportion Test
rstatix-programming | Programming with rstatix (tidy evaluation)
rstatix-references | References and related packages

## -- S --

sample_n_by | Sample n Rows By Group From a Table
set_ref_level | Factors
shapiro_test | Shapiro-Wilk Normality Test
sign_test | Sign Test
std_residuals | Chi-squared Test for Count Data

## -- T --

tidy.rstatix_test | Tidy an rstatix Test Result
tukey_hsd | Tukey Honest Significant Differences
tukey_hsd.data.frame | Tukey Honest Significant Differences
tukey_hsd.default | Tukey Honest Significant Differences
tukey_hsd.lm | Tukey Honest Significant Differences
t_test | T-test

## -- W --

welch_anova_test | Welch One-Way ANOVA Test
wilcox_effsize | Wilcoxon Effect Size
wilcox_test | Wilcoxon Tests