unbreak_rows: Merge rows up

In luisDVA/unheadr: Handle Data with Messy Header Rows and Broken Values

Merge rows up

Description

Merge rows up

Usage

unbreak_rows(df, regex, ogcol, sep = " ")

Arguments

df	A data frame with at least two contiguous rows to be merged.
regex	A regular expression to identify sets of rows to be merged, meant for the leading of the two contiguous rows.
ogcol	Variable with the text strings to match.
sep	Character string to separate the unified values (default is space).

Details

This function recodes empty strings ("") to NA for smoother pattern matching.

Value

A tibble or data frame with merged rows. Values of the lagging rows are pasted onto the values in the leading row, whitespace is squished, and the lagging row is dropped.

Examples

bball <-
  data.frame(
    stringsAsFactors = FALSE,
    v1 = c(
      "Player", NA, "Sleve McDichael", "Dean Wesrey",
      "Karl Dandleton"
    ),
    v2 = c("Most points", "in a game", "55", "43", "41"),
    v3 = c("Season", "(year ending)", "2001", "2000", "2010")
  )
unbreak_rows(bball, "Most", v2)

luisDVA/unheadr documentation built on Aug. 16, 2022, 5:28 a.m.