A Systematic Data Wrangling Idiom


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Documentation for package ‘wrangle’ version 0.5.10

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constant Identify Constant Features of an Object
constant.data.frame Identify Constant Features of a Data Frame
constant.grouped_df Identify Constant Features of a Grouped Data Frame
detect Sort column subsets.
dup Show duplicate or duplicated elements.
dup.grouped_df Show records with duplicate or duplicated values of grouping variables.
dupGroups Calculate dupGroups.
dupGroups.grouped_df Count records with with duplicate or duplicated values of grouping variables.
enumerate Count unique combinations of items in specified columns.
ignore Drop columns in x that are present in y.
informative Drop columns in x that are entirely NA.
informative.data.frame Drop columns in x that are entirely NA.
itemize Show unique combinations of items in specified columns
key Fetch the key.
key.grouped_df Fetch the key for a grouped_df as character vector
na Show na elements.
na.grouped_df Show records with NA values of grouping variables.
naGroups Calculate naGroups.
naGroups.grouped_df Count records with NA values of grouping variables.
safe_join Join Data Safely
safe_join.data.frame Join Data Frames Safely
sort.grouped_df Arrange by groups.
static Find unique records for subset of columns with one unique value.
status Report status.
status.grouped_df Report status with respect to grouping variables.
unsorted Show unsorted elements.
unsorted.grouped_df Find records whose relative positons would change if sorted.
weak Show na, duplicate, or duplicated elements.
weak.grouped_df Show records with NA, duplicate or duplicated values of grouping variables.
wrangle Report status with respect to grouping variables.