Package index • wmisc

All functions
`add_group_aggregate()`	Add subgroup aggregates to a data frame
`auto_corr()`	Calculate Autocorrelation
`average()`	Average
`center()`	Mean center a variable
`change_values()`	Recode Values in a Vector
`combine_data_frames()`	Combine multiple data frames into a single data frame
`conf_int()`	Calculate Confidence Interval
`fisher_z()` `inv_fisher_z()`	Fisher's Z Transformation
`logit2prob()` `prob2logit()`	Convert Logit to Probability and vice versa
`mean_corr()`	Average correlations by Fisher Z transformation
`multilevel_r2()`	Multilevel R squared for two-level models
`nice_agreement_table()` `agreement_analysis()`	Perform within agreement analysis
`nice_alpha_table()` `alpha_table()`	Table with alpha values
`nice_chi_test_table()` `chi_test_table()`	Creates a chi.squared test table for multiple dependent variables
`nice_contingency_table()`	Create a Contingency Table with One or Two Summary Functions
`nice_corrmatrix()`	Nice correlation matrix
`nice_descriptives()`	Table with descriptive statistics
`nice_frequencies()`	Table with frequency statistics
`nice_item_analysis()`	Table with detailed item statistics for one scale
`nice_loadings()` `nice_efa()`	Creates table of loadings of exploratory factor analysis based on the psych::fa function
`nice_missings_table()`	Analyze Missing Values in Scales
`nice_p()`	Format p values
`nice_regression_table()`	Create a nice table from one or more regression models
`nice_sem()`	Nice html table for lavaan structure equation model fitted objects
`nice_statnum()`	Nice statnum Formats numbers in the -1 to 1 range
`nice_t_test_table()`	Creates a t-test table for multiple dependent variables
`nice_table(<default>)`	Create a nicely formatted table
`percent()`	Percent of TRUE values
`add_label()` `rename_from_labels()` `get_labels()`	Various functions that add and retrieve labels for variabes
`round_numeric()`	Round Numeric Columns in a Data Frame
`split_at_median()`	Dichotomize vector values at their median
`split_at_percentile()`	Factorizes a vector by percentiles
`standardise()`	Standardise values
`update_self()`	Update this package from GitHub if a newer version is available
`wmisc-package` `wmisc`	Misc Functions

Reference

All functions