AMR/R/aa_helper_functions.R

458 lines
17 KiB
R
Executable File

# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Analysis #
# #
# SOURCE #
# https://gitlab.com/msberends/AMR #
# #
# LICENCE #
# (c) 2018-2020 Berends MS, Luz CF et al. #
# #
# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# #
# We created this package for both routine data analysis and academic #
# research and it was publicly released in the hope that it will be #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
# Visit our website for more info: https://msberends.gitlab.io/AMR. #
# ==================================================================== #
# functions from dplyr, will perhaps become poorman
distinct <- function(.data, ..., .keep_all = FALSE) {
check_is_dataframe(.data)
if ("grouped_data" %in% class(.data)) {
distinct.grouped_data(.data, ..., .keep_all = .keep_all)
} else {
distinct.default(.data, ..., .keep_all = .keep_all)
}
}
distinct.default <- function(.data, ..., .keep_all = FALSE) {
names <- rownames(.data)
rownames(.data) <- NULL
if (length(deparse_dots(...)) == 0) {
selected <- .data
} else {
selected <- select(.data, ...)
}
rows <- as.integer(rownames(unique(selected)))
if (isTRUE(.keep_all)) {
res <- .data[rows, , drop = FALSE]
} else {
res <- selected[rows, , drop = FALSE]
}
rownames(res) <- names[rows]
res
}
distinct.grouped_data <- function(.data, ..., .keep_all = FALSE) {
apply_grouped_function(.data, "distinct", ..., .keep_all = .keep_all)
}
filter_join_worker <- function(x, y, by = NULL, type = c("anti", "semi")) {
type <- match.arg(type, choices = c("anti", "semi"), several.ok = FALSE)
if (is.null(by)) {
by <- intersect(names(x), names(y))
join_message(by)
}
rows <- interaction(x[, by]) %in% interaction(y[, by])
if (type == "anti") rows <- !rows
res <- x[rows, , drop = FALSE]
rownames(res) <- NULL
res
}
# No export, no Rd
addin_insert_in <- function() {
stopifnot_installed_package("rstudioapi")
get("insertText", envir = asNamespace("rstudioapi"))(" %in% ")
}
# No export, no Rd
addin_insert_like <- function() {
stopifnot_installed_package("rstudioapi")
get("insertText", envir = asNamespace("rstudioapi"))(" %like% ")
}
check_dataset_integrity <- function() {
tryCatch({
check_microorganisms <- all(c("mo", "fullname", "kingdom", "phylum",
"class", "order", "family", "genus",
"species", "subspecies", "rank",
"species_id", "source", "ref", "prevalence") %in% colnames(microorganisms),
na.rm = TRUE) & NROW(microorganisms) == NROW(MO_lookup)
check_antibiotics <- all(c("ab", "atc", "cid", "name", "group",
"atc_group1", "atc_group2", "abbreviations",
"synonyms", "oral_ddd", "oral_units",
"iv_ddd", "iv_units", "loinc") %in% colnames(antibiotics),
na.rm = TRUE)
}, error = function(e)
stop('Please use the command \'library("AMR")\' before using this function, to load the required reference data.', call. = FALSE)
)
if (!check_microorganisms | !check_antibiotics) {
stop("Data set `microorganisms` or data set `antibiotics` is overwritten by your global environment and prevents the AMR package from working correctly. Please rename your object before using this function.", call. = FALSE)
}
invisible(TRUE)
}
search_type_in_df <- function(x, type) {
# try to find columns based on type
found <- NULL
x <- as.data.frame(x, stringsAsFactors = FALSE)
colnames(x) <- trimws(colnames(x))
# -- mo
if (type == "mo") {
if ("mo" %in% lapply(x, class)) {
found <- colnames(x)[lapply(x, class) == "mo"][1]
} else if ("mo" %in% colnames(x) &
suppressWarnings(
all(x$mo %in% c(NA,
microorganisms$mo,
microorganisms.translation$mo_old)))) {
found <- "mo"
} else if (any(colnames(x) %like% "^(mo|microorganism|organism|bacteria|bacterie)s?$")) {
found <- colnames(x)[colnames(x) %like% "^(mo|microorganism|organism|bacteria|bacterie)s?$"][1]
} else if (any(colnames(x) %like% "^(microorganism|organism|bacteria|bacterie)")) {
found <- colnames(x)[colnames(x) %like% "^(microorganism|organism|bacteria|bacterie)"][1]
} else if (any(colnames(x) %like% "species")) {
found <- colnames(x)[colnames(x) %like% "species"][1]
}
}
# -- key antibiotics
if (type == "keyantibiotics") {
if (any(colnames(x) %like% "^key.*(ab|antibiotics)")) {
found <- colnames(x)[colnames(x) %like% "^key.*(ab|antibiotics)"][1]
}
}
# -- date
if (type == "date") {
if (any(colnames(x) %like% "^(specimen date|specimen_date|spec_date)")) {
# WHONET support
found <- colnames(x)[colnames(x) %like% "^(specimen date|specimen_date|spec_date)"][1]
if (!any(class(pull(x, found)) %in% c("Date", "POSIXct"))) {
stop(font_red(paste0("ERROR: Found column `", font_bold(found), "` to be used as input for `col_", type,
"`, but this column contains no valid dates. Transform its values to valid dates first.")),
call. = FALSE)
}
} else {
for (i in seq_len(ncol(x))) {
if (any(class(pull(x, i)) %in% c("Date", "POSIXct"))) {
found <- colnames(x)[i]
break
}
}
}
}
# -- patient id
if (type == "patient_id") {
if (any(colnames(x) %like% "^(identification |patient|patid)")) {
found <- colnames(x)[colnames(x) %like% "^(identification |patient|patid)"][1]
}
}
# -- specimen
if (type == "specimen") {
if (any(colnames(x) %like% "(specimen type|spec_type)")) {
found <- colnames(x)[colnames(x) %like% "(specimen type|spec_type)"][1]
} else if (any(colnames(x) %like% "^(specimen)")) {
found <- colnames(x)[colnames(x) %like% "^(specimen)"][1]
}
}
# -- UTI (urinary tract infection)
if (type == "uti") {
if (any(colnames(x) == "uti")) {
found <- colnames(x)[colnames(x) == "uti"][1]
} else if (any(colnames(x) %like% "(urine|urinary)")) {
found <- colnames(x)[colnames(x) %like% "(urine|urinary)"][1]
}
if (!is.null(found)) {
# this column should contain logicals
if (!is.logical(x[, found, drop = TRUE])) {
message(font_red(paste0("NOTE: Column `", font_bold(found), "` found as input for `col_", type,
"`, but this column does not contain 'logical' values (TRUE/FALSE) and was ignored.")))
found <- NULL
}
}
}
if (!is.null(found)) {
msg <- paste0("NOTE: Using column `", font_bold(found), "` as input for `col_", type, "`.")
if (type %in% c("keyantibiotics", "specimen")) {
msg <- paste(msg, "Use", font_bold(paste0("col_", type), "= FALSE"), "to prevent this.")
}
message(font_blue(msg))
}
found
}
stopifnot_installed_package <- function(package) {
# no "utils::installed.packages()" since it requires non-staged install since R 3.6.0
# https://developer.r-project.org/Blog/public/2019/02/14/staged-install/index.html
sapply(package, function(x)
tryCatch(get(".packageName", envir = asNamespace(x)),
error = function(e) stop("package '", x, "' required but not installed.",
"\nTry to install it with: install.packages(\"", x, "\")",
call. = FALSE)))
return(invisible())
}
stopifnot_msg <- function(expr, msg) {
if (!isTRUE(expr)) {
stop(msg, call. = FALSE)
}
}
"%or%" <- function(x, y) {
if (is.null(x) | is.null(y)) {
if (is.null(x)) {
return(y)
} else {
return(x)
}
}
ifelse(!is.na(x),
x,
ifelse(!is.na(y), y, NA))
}
class_integrity_check <- function(value, type, check_vector) {
if (!all(value[!is.na(value)] %in% check_vector)) {
warning(paste0("invalid ", type, ", NA generated"), call. = FALSE)
value[!value %in% check_vector] <- NA
}
value
}
# transforms data set to data.frame with only ASCII values, to comply with CRAN policies
dataset_UTF8_to_ASCII <- function(df) {
trans <- function(vect) {
iconv(vect, from = "UTF-8", to = "ASCII//TRANSLIT")
}
df <- as.data.frame(df, stringsAsFactors = FALSE)
for (i in seq_len(NCOL(df))) {
col <- df[, i]
if (is.list(col)) {
col <- lapply(col, function(j) trans(j))
df[, i] <- list(col)
} else {
if (is.factor(col)) {
levels(col) <- trans(levels(col))
} else if (is.character(col)) {
col <- trans(col)
} else {
col
}
df[, i] <- col
}
}
df
}
# replace crayon::has_color, but now also FALSE on non-interactive mode
has_colour <- function() {
if (Sys.getenv("TERM") == "dumb" | !interactive()) {
return(FALSE)
}
if (tolower(Sys.info()["sysname"]) == "windows") {
if (Sys.getenv("ConEmuANSI") == "ON" | Sys.getenv("CMDER_ROOT") != "") {
return(TRUE)
} else {
return(FALSE)
}
}
"COLORTERM" %in% names(Sys.getenv()) | grepl("^screen|^xterm|^vt100|color|ansi|cygwin|linux",
Sys.getenv("TERM"),
ignore.case = TRUE,
perl = TRUE)
}
# the crayon colours
try_colour <- function(..., before, after, collapse = " ") {
txt <- paste0(unlist(list(...)), collapse = collapse)
if (isTRUE(has_colour())) {
if (is.null(collapse)) {
paste0(before, txt, after, collapse = NULL)
} else {
paste0(before, txt, after, collapse = "")
}
} else {
txt
}
}
font_black <- function(..., collapse = " ") {
try_colour(..., before = "\033[38;5;232m", after = "\033[39m", collapse = collapse)
}
font_blue <- function(..., collapse = " ") {
try_colour(..., before = "\033[34m", after = "\033[39m", collapse = collapse)
}
font_green <- function(..., collapse = " ") {
try_colour(..., before = "\033[32m", after = "\033[39m", collapse = collapse)
}
font_magenta <- function(..., collapse = " ") {
try_colour(..., before = "\033[35m", after = "\033[39m", collapse = collapse)
}
font_red <- function(..., collapse = " ") {
try_colour(..., before = "\033[31m", after = "\033[39m", collapse = collapse)
}
font_silver <- function(..., collapse = " ") {
try_colour(..., before = "\033[90m", after = "\033[39m", collapse = collapse)
}
font_white <- function(..., collapse = " ") {
try_colour(..., before = "\033[37m", after = "\033[39m", collapse = collapse)
}
font_yellow <- function(..., collapse = " ") {
try_colour(..., before = "\033[33m", after = "\033[39m", collapse = collapse)
}
font_subtle <- function(..., collapse = " ") {
try_colour(..., before = "\033[38;5;246m", after = "\033[39m", collapse = collapse)
}
font_grey <- function(..., collapse = " ") {
try_colour(..., before = "\033[38;5;249m", after = "\033[39m", collapse = collapse)
}
font_green_bg <- function(..., collapse = " ") {
try_colour(..., before = "\033[42m", after = "\033[49m", collapse = collapse)
}
font_red_bg <- function(..., collapse = " ") {
try_colour(..., before = "\033[41m", after = "\033[49m", collapse = collapse)
}
font_yellow_bg <- function(..., collapse = " ") {
try_colour(..., before = "\033[43m", after = "\033[49m", collapse = collapse)
}
font_bold <- function(..., collapse = " ") {
try_colour(..., before = "\033[1m", after = "\033[22m", collapse = collapse)
}
font_italic <- function(..., collapse = " ") {
try_colour(..., before = "\033[3m", after = "\033[23m", collapse = collapse)
}
font_underline <- function(..., collapse = " ") {
try_colour(..., before = "\033[4m", after = "\033[24m", collapse = collapse)
}
font_stripstyle <- function(x) {
# from crayon:::ansi_regex
gsub("(?:(?:\\x{001b}\\[)|\\x{009b})(?:(?:[0-9]{1,3})?(?:(?:;[0-9]{0,3})*)?[A-M|f-m])|\\x{001b}[A-M]", "", x, perl = TRUE)
}
progress_estimated <- function(n = 1, n_min = 0, ...) {
if (n >= n_min) {
pb <- utils::txtProgressBar(max = n, style = 3)
pb$tick <- function() {
pb$up(pb$getVal() + 1)
}
pb
} else {
pb <- list()
pb$tick <- function() {
invisible()
}
pb$kill <- function() {
invisible()
}
structure(pb, class = "txtProgressBar")
}
}
# works exactly like round(), but rounds `round(44.55, 1)` as 44.6 instead of 44.5
# and adds decimal zeroes until `digits` is reached when force_zero = TRUE
round2 <- function(x, digits = 0, force_zero = TRUE) {
x <- as.double(x)
# https://stackoverflow.com/a/12688836/4575331
val <- (trunc((abs(x) * 10 ^ digits) + 0.5) / 10 ^ digits) * sign(x)
if (digits > 0 & force_zero == TRUE) {
values_trans <- val[val != as.integer(val) & !is.na(val)]
val[val != as.integer(val) & !is.na(val)] <- paste0(values_trans,
strrep("0",
max(0,
digits - nchar(
format(
as.double(
gsub(".*[.](.*)$",
"\\1",
values_trans)),
scientific = FALSE)))))
}
as.double(val)
}
# percentage from our other package: 'cleaner'
percentage <- function(x, digits = NULL, ...) {
# getdecimalplaces() function
getdecimalplaces <- function(x, minimum = 0, maximum = 3) {
if (maximum < minimum) {
maximum <- minimum
}
if (minimum > maximum) {
minimum <- maximum
}
max_places <- max(unlist(lapply(strsplit(sub("0+$", "",
as.character(x * 100)), ".", fixed = TRUE),
function(y) ifelse(length(y) == 2, nchar(y[2]), 0))), na.rm = TRUE)
max(min(max_places,
maximum, na.rm = TRUE),
minimum, na.rm = TRUE)
}
# format_percentage() function
format_percentage <- function(x, digits = NULL, ...) {
if (is.null(digits)) {
digits <- getdecimalplaces(x)
}
# round right: percentage(0.4455) and format(as.percentage(0.4455), 1) should return "44.6%", not "44.5%"
x_formatted <- format(round2(as.double(x), digits = digits + 2) * 100,
scientific = FALSE,
digits = digits,
nsmall = digits,
...)
x_formatted <- paste0(x_formatted, "%")
x_formatted[!grepl(pattern = "^[0-9.,e-]+$", x = x)] <- NA_character_
x_formatted
}
# the actual working part
x <- as.double(x)
if (is.null(digits)) {
# max one digit if undefined
digits <- getdecimalplaces(x, minimum = 0, maximum = 1)
}
format_percentage(structure(.Data = as.double(x),
class = c("percentage", "numeric")),
digits = digits, ...)
}
# prevent dependency on package 'backports'
# these functions were not available in previous versions of R (last checked: R 4.0.0)
# see here for the full list: https://github.com/r-lib/backports
strrep <- function(x, times) {
x <- as.character(x)
if (length(x) == 0L)
return(x)
unlist(.mapply(function(x, times) {
if (is.na(x) || is.na(times))
return(NA_character_)
if (times <= 0L)
return("")
paste0(replicate(times, x), collapse = "")
}, list(x = x, times = times), MoreArgs = list()), use.names = FALSE)
}
trimws <- function(x, which = c("both", "left", "right")) {
which <- match.arg(which)
mysub <- function(re, x) sub(re, "", x, perl = TRUE)
if (which == "left")
return(mysub("^[ \t\r\n]+", x))
if (which == "right")
return(mysub("[ \t\r\n]+$", x))
mysub("[ \t\r\n]+$", mysub("^[ \t\r\n]+", x))
}
isFALSE <- function(x) {
is.logical(x) && length(x) == 1L && !is.na(x) && !x
}
deparse1 <- function(expr, collapse = " ", width.cutoff = 500L, ...) {
paste(deparse(expr, width.cutoff, ...), collapse = collapse)
}