Maps values in a column to new values using a named vector (dict).
Unmatched values are replaced with default.
Arguments
- data
A data.frame.
- column
Character. Column name to recode.
- dict
Named vector. Names are original values, values are replacements.
- name
Character or
NULL. Name of the output column. IfNULL(default), the original column is overwritten. Otherwise a new column is created.- default
Default value for unmatched entries. Default:
NA.
Examples
df <- data.frame(gene = c("TP53", "BRCA1", "EGFR", "XYZ"))
dict <- c("TP53" = "Tumor suppressor", "EGFR" = "Oncogene")
recode_column(df, "gene", dict, name = "label")
#> gene label
#> 1 TP53 Tumor suppressor
#> 2 BRCA1 <NA>
#> 3 EGFR Oncogene
#> 4 XYZ <NA>
recode_column(df, "gene", dict)
#> gene
#> 1 Tumor suppressor
#> 2 <NA>
#> 3 Oncogene
#> 4 <NA>
