transpose a dataframe
Examples
x <- c2r(mini_diamond, "id")
tdf(x)
#> # A tibble: 6 × 101
#> item `id-1` `id-2` `id-3` `id-4` `id-5` `id-6` `id-7` `id-8` `id-9` `id-10`
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 carat "1.02" 1.51 "0.52" "1.54" "0.72" 2.02 "0.27" "0.51" "1.01" "0.70"
#> 2 cut "Fair" Good "Idea… "Idea… "Idea… Fair "Good" "Good" "Idea… "Fair"
#> 3 clarity "SI1" VS2 "VVS1" "SI2" "VS1" SI2 "VVS1" "SI2" "SI1" "VVS1"
#> 4 price " 302… 11746 " 202… " 945… " 249… 14080 " 75… " 102… " 559… " 1691"
#> 5 x "6.25" 7.27 "5.15" "7.43" "5.73" 8.33 "4.10" "5.05" "6.43" "5.56"
#> 6 y "6.18" 7.18 "5.18" "7.45" "5.77" 8.37 "4.07" "5.08" "6.40" "5.41"
#> # ℹ 90 more variables: `id-11` <chr>, `id-12` <chr>, `id-13` <chr>,
#> # `id-14` <chr>, `id-15` <chr>, `id-16` <chr>, `id-17` <chr>, `id-18` <chr>,
#> # `id-19` <chr>, `id-20` <chr>, `id-21` <chr>, `id-22` <chr>, `id-23` <chr>,
#> # `id-24` <chr>, `id-25` <chr>, `id-26` <chr>, `id-27` <chr>, `id-28` <chr>,
#> # `id-29` <chr>, `id-30` <chr>, `id-31` <chr>, `id-32` <chr>, `id-33` <chr>,
#> # `id-34` <chr>, `id-35` <chr>, `id-36` <chr>, `id-37` <chr>, `id-38` <chr>,
#> # `id-39` <chr>, `id-40` <chr>, `id-41` <chr>, `id-42` <chr>, …