Given a vector of responses, and the values of non-targets, this
function computes the error relative to each of the non-targets.
Usage
calc_error_relative_to_nontargets(data, response, nt_features)
Arguments
- data
A data.frame object where each row is a single observation
- response
Character. The name of the column in data which contains
the response
- nt_features
Character vector. The names of the columns in data which
contain the values of the non-targets
Value
A data.frame with n*m rows, where n is the number of rows of data
and m is the number of non-target variables. It preserves all other columns
of data, except for the non-target locations, and adds a column y_nt,
which contains the transformed response error relative to the non-targets
Examples
data <- oberauer_lin_2017
data <- calc_error_relative_to_nontargets(data, "dev_rad", paste0("col_nt", 1:7))
hist(data$y_nt, breaks = 100)
