Utilities for Streamlined Data Import, Imputation and Modelling

Documentation for package ‘basecamb’ version 1.1.5

.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