Created
November 14, 2022 13:32
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Convert arules::discretize's factor levels to a more approachable format for non-technical audience
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prettify_discretize_labs <- function(x, sep = " to ") { | |
all_labs <- levels(x) | |
split_labs <- strsplit(all_labs, ",") | |
old_options <- options(scipen = 999) | |
pretty_labs <- vapply(split_labs, function(el) { | |
num_chrs <- gsub("\\[|\\]|\\(|\\)", "", el) | |
nums <- as.numeric(num_chrs) | |
pretty_lab <- paste(nums[1], nums[2], sep = sep) | |
}, character(1)) | |
options(scipen = old_options$scipen) | |
levels(x) <- pretty_labs | |
return(x) | |
} | |
# # Example usage: | |
# | |
# library(arules) | |
# | |
# set.seed(42) | |
# | |
# vals <- rnorm(100, mean = 5000, 10000) | |
# discretized <- discretize(vals) | |
# | |
# levels(discretized) | |
# # [1] "[-2.49e+04,1.93e+03)" | |
# # [2] "[1.93e+03,1.08e+04)" | |
# # [3] "[1.08e+04,2.79e+04]" | |
# | |
# discretized <- prettify_discretize_labs(discretized) | |
# | |
# levels(discretized) | |
# # [1] "-24900 to 1930" | |
# # [2] "1930 to 10800" | |
# # [3] "10800 to 27900" |
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