Reference

Read-in functions
list_sheetnames() list.sheetnames()	List the names of all sheets within given files
read_excelsheet() read.excelsheet()	Read one excel sheet with read_excel
read_header() read.excelheader()	Read headers that span over multiple rows
read_multsheets() read.multsheets()	Read multiple files (csv or excel) and/or multiple sheets (within an excel file) and handle headers that span multiple rows.
read_ods_multsheets()	A wrapper around read_ods to read multiple sheets in a .ods file
read_sheets() read.sheets()	Read in sheets
Split tables functions
split_df()	Split a large table into smaller tables if there are blank columns or rows
split_direction()	Split a large table in one direction if there are blank columns or rows
Clean columns functions
rename_col() rename.col	Rename columns with a data.frame containing old and new column names
rm_dup_col() rm.dup_col()	Remove duplicate columns that may have different column names
Join functions
full_join_compare()	Full join data.frames to compare columns add a suffix before the merge to track where the column originated
Clean column contents
plot_map()	Check field map layout for errors and duplicate range/row locations.
set_values_to_na()	Set -9 and 0s to NA for given columns
Summarize column functions
find_col_info()	Find column information in a data.frame
select_colsfromlist() select.colsfromlist	Select columns from data.frames stored within a list
summarize_colnames() summarize.colnames	Create a list of column names that match a given regex for all data.frames in given list The function returns the proportion of the data.frames that contain the column name
summarize_ncol() summarize.ncol	Summarise the number of columns per data.frame that match a given regex over a list of data.frames This function detects columns with similar names within a dataset
summarize_variables() summarize.variables	Summarize information on variables that match a given regex