crosswalkr (version 0.4.0)

renamefrom: Rename data frame columns using external crosswalk file.

Description

Rename data frame columns using external crosswalk file.

Usage

renamefrom(
  .data,
  cw_file,
  raw,
  clean,
  label = NULL,
  delimiter = NULL,
  sheet = NULL,
  drop_extra = TRUE,
  case_ignore = TRUE,
  keep_label = FALSE,
  name_label = FALSE
)
renamefrom_(
  .data,
  cw_file,
  raw,
  clean,
  label = NULL,
  delimiter = NULL,
  sheet = NULL,
  drop_extra = TRUE,
  case_ignore = TRUE,
  keep_label = FALSE,
  name_label = FALSE
)

Value

Data frame or tbl_df with new column names and labels.

Arguments

.data

Data frame or tbl_df

cw_file

Either data frame object or string with path to external crosswalk file, which has columns representing raw (current) column names, clean (new) column names, and labels (optional). Values in raw and clean columns must be unique (1:1 match) or an error will be thrown. Acceptable file types include: delimited (.csv, .tsv, or other), R (.rda, .rdata, .rds), or Stata (.dta).

raw

Name of column in cw_file that contains column names of current data frame.

clean

Name of column in cw_file that contains new column names.

label

Name of column in cw_file with labels for columns.

delimiter

String delimiter used to parse cw_file. Only necessary if using a delimited file that isn't a comma-separated or tab-separated file (guessed by function based on file ending).

sheet

Specify sheet if cw_file is an Excel file and required sheet isn't the first one.

drop_extra

Drop extra columns in current data frame if they are not matched in cw_file.

case_ignore

Ignore case when matching current (raw) column names with new (clean) column names.

keep_label

Keep current label, if any, on data frame columns that aren't matched in cw_file. Default FALSE means that unmatched columns have any existing labels set to NULL.

name_label

Use old (raw) column name as new (clean) column name label. Cannot be used if label option is set.

Functions

• renamefrom_(): Standard evaluation version of renamefrom (raw, clean, and label must be strings when using this version)

Examples

df <- data.frame(state = c('Kentucky','Tennessee','Virginia'),
                 fips = c(21,47,51),
                 region = c('South','South','South'))

cw <- data.frame(old_name = c('state','fips'),
                 new_name = c('stname','stfips'),
                 label = c('Full state name', 'FIPS code'))

df1 <- renamefrom(df, cw, old_name, new_name, label)
df2 <- renamefrom(df, cw, old_name, new_name, name_label = TRUE)
df3 <- renamefrom(df, cw, old_name, new_name, drop_extra = FALSE)