Consider the following dataframe named estimates_df.
....
Item section
7596 5 Gal Samandoque Cacti/Accents
7597 5 Gal Purple Prickly Pear Cacti/Accents
7598 5 Gal Banana Yucca Cacti/Accents
7599 5 Gal Yucca Vine Vines
7600 5 Gal Red Three Awn Grasses
7601 3/4" Screened To Match Existing Decomposed Granite
...
I also have a character vector with cactus/succulent names named cactus_names.
[1]"Prickly Pear"
[2]"Samandoque"
[3]"Banana Yucca"
...
I do not want to alter the full name in the Item column, but I want to change the section column based on the names that appear in my cactus/succulent vector. I am having difficulty doing this because the names in the vector do not exactly match the names in the column. For example, I have tried to do something like this:
estimates_df %>%
mutate(section = ifelse(cactus_names %in% Item, "Cacti/Succulents", section)
Obviously, this does not match any of the names because they do not match exactly. I want the end result to look like so:
....
Item section
7596 5 Gal Samandoque Cacti/Succulents
7597 5 Gal Purple Prickly Pear Cacti/Succulents
7598 5 Gal Banana Yucca Cacti/Succulents
7599 5 Gal Yucca Vine Vines
7600 5 Gal Red Three Awn Grasses
7601 3/4" Screened To Match Existing Decomposed Granite
...
CodePudding user response：
Are you looking for something like this!
library(dplyr)
library(stringr)
cactus_names <- c("Prickly Pear", "Yucca Vine", "Banana Yucca")
pattern <- paste(cactus_names, collapse = "|")
df %>%
mutate(section = ifelse(str_detect(Item, pattern), "Cacti/Succulents", section))
id Item section
1 7596 5 Gal Samandoque Cacti/Accents
2 7597 5 Gal Purple Prickly Pear Cacti/Succulents
3 7598 5 Gal Banana Yucca Cacti/Succulents
4 7599 5 Gal Yucca Vine Cacti/Succulents
5 7600 5 Gal Red Three Awn Grasses
6 7601 3/4 Screened To Match Existing Decomposed Granite