Generates a lookup vector such that x_at_y(x, y)[y] == x. Particularly useful for generating lookup tables for nested indices in conjunction with compose_data().

x_at_y(x, y, missing = NA)

Arguments

x

Values in the resulting lookup vector. There should be only one unique value of x for every corresponding value of y.

y

Keys in the resulting lookup vector. Should be factors or integers.

missing

Missing levels from y will be filled in with this value in the resulting lookup vector. Default NA.

Details

x_at_y(x, y) returns a vector k such that k[y] == x. It also fills in missing values in y: if y is an integer, k will contain entries for all values from 1 to max(y); if y is a factor, k will contain entries for all values from 1 to nlevels(y). Missing values are replaced with missing (default NA).

See also

Author

Matthew Kay

Examples

library(magrittr) df = data.frame( plot = factor(paste0("p", rep(1:8, times = 2))), site = factor(paste0("s", rep(1:4, each = 2, times = 2))) ) # turns site into a nested index: site[p] gives the site for plot p df %>% compose_data(site = x_at_y(site, plot))
#> $plot #> [1] 1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8 #> #> $n_plot #> [1] 8 #> #> $site #> [1] 1 1 2 2 3 3 4 4 #> #> $n_site #> [1] 4 #> #> $n #> [1] 16 #>