I'm looking to rename colnames to include the characters _16S_sed
if they're not present. For example I have the dataset
> dput(dataframe1)
structure(list(GL11_DN_1_16S_sed = structure(1:3, .Label = c("val1",
"val2", "val3"), class = "factor"), GL12_UP_3_16S_sed = structure(1:3, .Label = c("val1",
"val2", "val3"), class = "factor"), GL13_1_DN = structure(1:3, .Label = c("val1",
"val2", "val3"), class = "factor")), class = "data.frame", row.names = c(NA,
-3L))
where the third column needs the characters _16S_sed
. TIA
library(tidyverse)
df %>%
rename_with(~ if_else(str_detect(.x, "_16S_sed"), .x, str_c(.x, "_16S_sed")))
# A tibble: 3 × 3
GL11_DN_1_16S_sed GL12_UP_3_16S_sed GL13_1_DN_16S_sed
<fct> <fct> <fct>
1 val1 val1 val1
2 val2 val2 val2
3 val3 val3 val3
Glimpsed:
Rows: 3
Columns: 3
$ GL11_DN_1_16S_sed <fct> val1, val2, val3
$ GL12_UP_3_16S_sed <fct> val1, val2, val3
$ GL13_1_DN_16S_sed <fct> val1, val2, val3