Function reference • kwb.prep

All functions

applyFilter(): Apply Filter Criteria from List

applyFilterCriteria(): Filter Rows from Data Frame Matching Criteria

apply_filters(): Apply Groups of Filter Criteria from Configuration

assign_objects(): Provide all Objects of kwb.prep in the Global Environment

breaksToIntervalLabels(): Create Interval Labels from Breaks Vector

checkGrouping(): Compare Two Columns of a Data Frame (Raw Vs Regrouped)

checkNumberOfUnique(): Show Number of Unique Values in Selected Columns

check_table_name(): Check for Valid Table Name

check_zip_extension(): Stop if File Name Does not End with Zip Extension

collect(): Collect Elements of Sublists

create_text_getter(): Create a get_text() Function

dataFramesToTextMatrix(): Convert List of Data Frames to Character Matrix

doRegroupings(): Apply Regrouping of Values in a Data Frame

fieldSummary(): Frequency of Value Combinations in Data Frame Columns

fillUpNA(): Fill NA in First Vector With Values From Second Vector

find_string_constants(): Show String Constants Used in R Scripts

getChangesOfDuplicates(): Get Changes of Rows That Are Duplicated in Selected Columns

getYearFromColumn(): Get Integer Year Number from Column

get_csv_filenames(): Get Names of CSV Files Referenced in Config

get_lower_extension(): Lower Case Extension of a File

get_path(): Resolve Path from Path Dictionary in Config Folder

get_renamings(): Get List Defining Renamings from Data Frame

get_renamings_from_config(): Get List of Renamings from Configuration

get_selection(): Get a Set of Column Names from a Data Frame Defining Selections

get_text(): Get Text Constant

get_user_strings(): Get List of User-Defined Text Constants

get_zipped_paths(): List Files in Zip Archive

groupByBreaks(): Group Values Belonging to Intervals

has_zip_extension(): Does a File have a Zip Extension (.zip, .7z)?

import_db(): Import CSV Files from ZIP File

intervalLabel(): Create Interval Label from Upper and Lower Boundary

kable_no_rows(): Print Data Frame as Markdown Table (Without Row Names by Default)

kable_translated(): Rename Data Frame Columns and Print as Markdown

logicalToYesNo(): Convert Vector of Logical to Vector of "Ja"/"Nein"

md_header(): Print Markdown Section Header

overwriteIfNotNA(): Use Non-NA Values from Source Column in Target Column

print(<data_frame_diff>): Print Result of Data Frame Comparison

printNumberOfNA(): Print Number of NA Values in Given Column

printTableForColumn(): Print Result of table() for Given Column

read_actual_regrouping(): Read and Filter "regroup_actual.csv"

read_csv_file(): Read Data Frame From CSV File

regroup(): Assign Values to Groups of Values

regroupedValues(): Regroup Values According to Configuration

regrouping_is_used(): Which actual regroupings would be used?

removeRowsThatAreNaInColumn(): Remove Rows That are NA in Given Column

replaceByCondition(): Replace Values in Column in Rows Matching Condition

replaceUnlessNA(): Use Elements of Substitute at Indices Where Substitutes Are Not NA

reportNA(): Count NA in a Column and Give a Message about It

set_column(): Set Column

set_user_strings(): Get List of User-Defined Text Constants

stopIfNotIn(): Stop with Info If Element Is Not in Expected Set

stopOnDuplicates(): Stop If There Are Duplicates over given Columns

stop_text(): Stop with Error Message Looked Up by Keyword

unzip_archive(): Unzip Archive

writeStandardCsv(): Write CSV File in a Standardised Manner

write_filter_info(): Write Information on Filtering to CSV files

write_markdown_chapter(): Write a Markdown Chapter