Package index • SfL

Statistical Functions
`corfun()`	Compute correlation coefficients
`correlation_matrix()`	Create a correlation plot matrix
`create_error_bar_df()`	Create an error-bar data frame
`heteroscedasticity_check()`	Check homoscedasticity and linearity
`install_workshop_packages()`	Install Workshop Packages
`mixed_model_r2()`	Marginal and conditional R-squared for a linear mixed model
`mode_stat()`	Statistical mode
`multinomial_p()`	Compute p-values for multinomial regression
`normality_check()`	Check residual normality
`ordinal_p()`	Compute p-values for ordinal regression
`predictor_competition()`	Compare two sets of predictors
`predictor_competition2()`	Compare two sets of predictors using AIC
`predictor_strength()`	Compute predictor strength
`pairwise_wilcox()`	Compute averaged pairwise Wilcoxon p-values
`se()`	Standard error
`tukey()`	Tukey contrasts
Other Functions
`open_exercise()` `open_exercises()`	Open workshop exercises
`open_slide()` `open_slides()`	Open workshop slides
Data Sets
`data_a`	data_a - Age and Looks
`data_c`	data_c - Incomplete Neutralization
`data_g`	data_g - Gender in German Role Nouns
`data_k`	data_k - Semantic Correlation Data
`data_l`	data_l - Lexical Decision and Lexical Neighbourhood
`data_o`	data_o - Cuteness & Size of Aliens
`data_p`	data_p - Program Awards
`data_r`	data_r - Response Data
`data_s`	data_s - Duration of word-final /s/ in English
`data_t`	data_t - Tonal Alignment in German
`data_v`	data_v - Vowel Shortening in German
`data_z`	data_z - Highly Correlated Data

Reference