I can initialize a data frame with a POSIXct column with code like this:
df <- data.frame(a=numeric(), b=character(), c=as.POSIXct(character()))
However, if I try to add an empty POSIXct column to a data.frame or tibble which already exists, the column is transformed to numeric type/class.
> df <- tibble("Index"=numeric(10))
> df[,"date"] <- as.POSIXct(character())
> df[,"date"] %>% pull %>% class()
[1] "numeric
Is there a method to overcome this problem?
would this work for you (most doing what eipi10 suggest in his comment )
library(tibble) # install.packages(c("dplyr"), dependencies = TRUE)
df <- tibble(a = 1:3, b = letters[a], c = as.POSIXct(NA))
df
#> # A tibble: 3 x 3
#> a b c
#> <int> <chr> <dttm>
#> 1 1 a NA
#> 2 2 b NA
#> 3 3 c NA
str(df)
#> Classes ‘tbl_df’, ‘tbl’ and 'data.frame':
#> 3 obs. of 3 variables:
#> $ a: int 1 2 3
#> $ b: chr "a" "b" "c"
#> $ c: POSIXct, format: NA NA ...
or maybe
df <- tibble(a = numeric(), b = character(), c = as.POSIXct(NA))
str(df)
#> Classes ‘tbl_df’, ‘tbl’ and 'data.frame':
#> 0 obs. of 3 variables:
#> $ a: num
#> $ b: chr
#> $ c:Classes 'POSIXct', 'POSIXt' num(0)
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