.scale_variable |
Scaling a variable |
apply_data_dictionary |
Clean column names, types and levels |
apply_function_to_imputed_data |
Apply function to dataframes in a mice object |
assign_factorial_levels |
Assign custom values for key levels in factorial columns |
assign_types_names |
Assign tidy types and names to a data.frame |
build_model_formula |
Build formula for statistical models |
cox.zph.mids |
Test cox proportional odds assumption on models using multiple imputation. |
deconstruct_formula |
Deconstruct formula |
filter_nth_entry |
Filter dataframe for nth entry |
fit_mult_impute_obs_outcome |
Fit a model on multiply imputed data using only observations with non-missing outcome(s) |
or_model_summary |
Summarise a logistic regression model on the odds ratio scale |
parse_date_columns |
Parse values in date columns as Dates |
quantile_group |
Stratify a numeric vector into quantile groups |
remove_duplicates |
Remove duplicate rows from data.frame |
remove_missing_from_mids |
Remove missing cases from a mids object |
scale_continuous_predictors |
Scale continuous predictors |
setduplicates |
Identify duplicate values in a vector representing a set |
stratified_boxcox |
Box-Cox transformation for stratified data |