Package index

Working with data from Prospect

wrangle_lookups(): Wrangle the Edith database specification into a single lookups data frame
read_prospect(): Reads in csv files as exported by Prospect
apply_labels(): Apply labels from a dataspec to a column
export_check(): Checks imported form lengths against the export note produced by prospect.

continuous_table(): Produce a data frame to summaries continuous variables
discrete_table(): Produce a data frame to summarise discrete variables
yn_table(): Produce a data frame to summarise discrete variables coded as Yes/No
missing_table(): Produce a dataframe to summarise data completeness for variables
ticked_table(): Produce a dataframe to summarise ticked variables
count_table(): Produce a data frame to summarise counts of events
condense(): Condense two or three columns into one

add_clines(): Adds LaTex \clines to an object of class "xtable"
add_multirow(): For use with latex summary tables
longtable_head(): For use with xtable's add.to.row when tabular.environment = "longtable"
makerow(): For use with xtable's add.to.row
merge_colnames(): For use with xtable's add.to.row when column names are repeated and should be merged.
prevent_pagebreak(): Preventing page breaks when using in long tables exported from xtable()
sanitise_percent(): Sanitise function for use with print.xtable

diagPlot(): Diagnostic plots
file_stamp(): Produce a file name string with date-time stamp
package_info(): package_info
remove_duplicates(): For use with tables
row_to_colnames(): Tools for working with column names
colnames_to_row(): Move the column names of a data frame to a row
search_list(): Searches a list of dataframes.
split_colnames(): Tools for working with column names
stata_expand(): Function to recreate the expand function in Stata
strwrap_factor(): String wrapping for factor variables
totals(): Mutates data frame so that summary tables give totals
display_unicol() get_unicol(): Use the University of Sheffield Colour Palette
round0(): Rounds numbers but keeps trailing zeros
git_log(): Generates a log of git commits
start_analysis(): Sets up the analysis folder
pn() np(): Count and Percentage
mean_sd(): Mean (SD)
median_iqr(): Median (IQR)