Function reference • rawutil

Chunked processing Process a (large) file of tabular data in chunks
`fread_chunked()`	Read and (optionally) process a file in chunks
`process_df_chunked()`	Apply a function to a data frame in chunks
Summarise Generate quick summaries for tabular data
`my_skim()`	Summarise a dataframe
Utilites Miscellaneous general utility functions
`time_taken_message()`	Display time taken message
`revalue_col()`	Revalue values in a dataframe column
`revalue_vector()`	Revalue values in a vector
`print_df_as_call_to_tibble()`	Print a data frame to the console for copying and pasting to a call to `tibble()`
Plots Plotting functions
`plot_heatmap()`	Plot a heatmap
Statistics Miscellaneous statistics functions
`calc_interaction_pvalues()`	Calculate interaction p-values
Dummy data Functions to generate dummy data for experimenting with
`make_dummy_df()`	Make dummy data frame
Labelled data Functions for labelling/relabelling data
`logical_to_labelled()`	Convert columns of type logical to numeric labelled 'yes'/'no'
`str_replace_all_var_labels()`	Update variable labels - replace a string for all variable labels.
`str_remove_from_var_labels()`	Update variable labels - remove a string from all variable labels
`capitalise_first_letter_var_labels()`	Update variable labels - capitalise the first letter
Private functions Helpers
`assert_integer_ge_1()`	Assert number is an integer that is greater than or equal to 1
Package overview General summary of package contents
`rawutil`	rawutil

Reference