How can i elegantly split an Array of strings in subgroups, based on their first character?
Sample data:
c("1_autoa", "1_autob", "1_autoc","2_bier", "3_hundx", "3_hundy")
Desired Output:
[[1]]
[1] "1_autoa" "1_autob" "1_autoc"
[[2]]
[1] "2_bier"
[[3]]
[1] "3_hundx" "3_hundy"
list(
c("1_autoa", "1_autob", "1_autoc"), c("2_bier"), c("3_hundx", "3_hundy"))
What i tried: (Working example, but seems unnessary Long)
library(dplyr)
library(purrr)
library(magrittr)
data <- data.frame(
id = 1:6,
name = c("1_autoa", "1_autob", "1_autoc", "2_bier", "3_hundx", "3_hundy")
)
data$start <- substr(x = data$name, start = 1, stop = 1)
spread(data, start, name) %>%
apply(MARGIN = 2, list) %>%
lapply(FUN = function(x) x[[1]][!is.na(x[[1]])])
Simply
split(x, gsub('\\D+', '', x))
where,
x <- c("1_autoa", "1_autob", "1_autoc","2_bier", "3_hundx", "3_hundy")