Hi,
This is an example of how to do it using dplyr::mutate()
and a little help of the stringr
package which enables the use of "Regular Expressions" to avoid too much typing.
library(dplyr)
library(stringr)
# Sample data on a copy/paste friendly format
sample_df <- data.frame(
stringsAsFactors = FALSE,
Assigned = c("Name 1", "Name 1", "Name 3", "Name 4", "Name 2"),
Assigned_Type = c("ISR", "ISR", "Sales Lead", "Sales Lead", "ISR")
)
sample_df %>%
mutate(new_column = if_else(str_detect(Assigned, "(1|2)$"), "ISR", "Sales Lead"))
#> Assigned Assigned_Type new_column
#> 1 Name 1 ISR ISR
#> 2 Name 1 ISR ISR
#> 3 Name 3 Sales Lead Sales Lead
#> 4 Name 4 Sales Lead Sales Lead
#> 5 Name 2 ISR ISR
Created on 2020-10-07 by the reprex package (v0.3.0)
If you want to learn more about data wrangling you can read this free ebook
Also, for future questions please try to provide a proper REPRoducible EXample (reprex) illustrating your issue.