Reputation: 4040
I am frequently building some count stats using table
.
My intention is to build a simple data.table / data_frame / tibble
with 2 columns.
Here is an example:
tbl <- structure(c(61L, 66L, 114L, 72L, 127L, 45L, 66L, 67L, 70L), .Dim = 9L, .Dimnames = structure(list(
c("1", "2", "3", "4", "5", "6", "7", "8", "9")), .Names = ""), class = "table")
What I do is data.table(df) %>% mutate(V1 = as.integer(V1))
Is there any option within data.table / data_frame
to "convert" to the "right" class?
You have this in the separate
function (convert = TRUE
).
Please advise.
Upvotes: 0
Views: 69
Reputation: 251
There's a function in readr
called parse_guess
, which tries to "guess" the right type. The easiest solution is to use mutate_all
to convert all column to the right class:
library(data.table)
library(dplyr)
tbl <- structure(c(61L, 66L, 114L, 72L, 127L, 45L, 66L, 67L, 70L), .Dim = 9L, .Dimnames = structure(list(
c("1", "2", "3", "4", "5", "6", "7", "8", "9")), .Names = ""), class = "table")
res <- data.table(tbl) %>% mutate_all(readr::parse_guess)
glimpse(res)
Upvotes: 1