Package index • wmisc

All functions
`analysis_missing()`	Analyze Missing Values in Scales
`auto_corr()`	Calculate Autocorrelation
`average()`	Average
`batch_convert_csv()`	Batch convert csv
`center()`	Mean center a variable
`change_values()`	Recode Values in a Vector
`check_scale()`	Check scale for typos
`ci_score()`	Compute Confidence Intervals for Test Scores Adjusted for Reliability
`combine_data_frames()`	Combine multiple data frames into a single data frame
`conf_int()`	Calculate Confidence Interval
`create_data_description()`	Create a description of a dataset
`critical_difference()`	Compute the Critical Difference Using SEM and SED
`fill_missing_l2()`	Fill Missing Level-2 Variables in Long Format Data
`fisher_z()` `inv_fisher_z()`	Fisher's Z Transformation
`flip()`	Flip a Data Frame or Matrix
`get_wmisc_attributes()` `set_wmisc_attributes()`	Access or Modify "wmisc" Attributes
`logit2prob()` `prob2logit()`	Convert Logit to Probability and vice versa
`mean_corr()`	Average correlations by Fisher Z transformation
`merge_multilevel()`	Merge Multiple Level Data
`multilevel_r2()`	Multilevel R squared for two-level models
`nice_agreement_table()`	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_loadings()` `nice_efa()`	Creates table of loadings of exploratory factor analysis based on the psych::fa function
`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()` `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
`percentage_bar()`	Create a Percentage Bar Chart
`plotalphabeta()`	Plot Alpha and Beta Error Regions
`reference_package_version()`	Reference package version for markdown
`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
`wmisc-package` `wmisc`	Misc Functions
`wmisc_data` `ex_itrf,` `ex_itrf_scales,` `mtcars_labeled`	Wmisc example data

Reference

All functions