Currently, it's only possible to create aweek data frames by inserting the column. Creating the data.frame.aweek() method would allow users to create data frames on the fly with aweek columns:
library('aweek')
d <- as.Date("2011-02-08") + 1:10
w <- date2week(d)
data.frame(w, d)
#> Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): cannot coerce class '"aweek"' to a data.frame
df <- data.frame(d)
df$w <- w
df
#> d w
#> 1 2011-02-09 2011-W06-3
#> 2 2011-02-10 2011-W06-4
#> 3 2011-02-11 2011-W06-5
#> 4 2011-02-12 2011-W06-6
#> 5 2011-02-13 2011-W06-7
#> 6 2011-02-14 2011-W07-1
#> 7 2011-02-15 2011-W07-2
#> 8 2011-02-16 2011-W07-3
#> 9 2011-02-17 2011-W07-4
#> 10 2011-02-18 2011-W07-5
# Tibbles work
tibble::tibble(w = w, d = d)
#> # A tibble: 10 x 2
#> w d
#> <S3: aweek> <date>
#> 1 2011-W06-3 2011-02-09
#> 2 2011-W06-4 2011-02-10
#> 3 2011-W06-5 2011-02-11
#> 4 2011-W06-6 2011-02-12
#> 5 2011-W06-7 2011-02-13
#> 6 2011-W07-1 2011-02-14
#> 7 2011-W07-2 2011-02-15
#> 8 2011-W07-3 2011-02-16
#> 9 2011-W07-4 2011-02-17
#> 10 2011-W07-5 2011-02-18
Currently, it's only possible to create aweek data frames by inserting the column. Creating the
data.frame.aweek()
method would allow users to create data frames on the fly with aweek columns:Created on 2019-03-11 by the reprex package (v0.2.1)