#' Calculate the difference within a variable
#'
#' @param rec A rec object
#' @param o_var Old variable to transform
#' @param n_var New variable name
#'
#' @return A rec object
#' @export
#'
#' @details Difference for a variable is defined as the nth value - the (n-1)th value
step_diff <- function(rec, o_var, n_var) {
# making sure the only rec is passed into the function
stopifnot(class(rec) == "rec")
# get data
data_t <- rec$data
# calc differencing
data_t[[n_var]] <- data_t[[o_var]] - dplyr::lag(data_t[[o_var]], 1)
# calculate stats
norm_p_value <- shapiro.test(data_t[[n_var]])$p.value
station_p_value <- Box.test(data_t[[n_var]])$p.value
cor_resp <- cor(x = data_t[[n_var]], y = data_t[[rec$y]],
use = "complete.obs")
# record meta
meta <- tibble(
id = max(rec$meta$id, 0) + 1,
tranformation = "differencing",
original_vars = o_var,
new_var = n_var,
paramter = 1,
norm_test = norm_p_value,
station_test = station_p_value,
cor_resp = cor_resp
)
meta <- rbind(rec$meta, meta)
output <- list(
meta = meta,
data = data_t,
y = rec$y
)
class(output) <- "rec"
invisible(output)
}
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