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Type 'q()' to quit R. > # Testing the cppBP function > library(pedbp) > library(data.table) > > ################################################################################ > # Verify error if any input is zero length > x <- + tryCatch( + pedbp:::cppPGSF( + metric = character(0) + , source = "CDC" + , male = 0 + , x = 48 + , qp = 15 + , type = "quantile" + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "zero length vector")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "bmi_for_age" + , source = character(0) + , male = 0 + , x = 48 + , qp = 15 + , type = "quantile" + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "zero length vector")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "bmi_for_age" + , source = "CDC" + , male = numeric(0) + , x = 48 + , qp = 15 + , type = "quantile" + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "zero length vector")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = 'bmi_for_age' + , source = "CDC" + , male = 0 + , x = numeric(0) + , qp = 15 + , type = "quantile" + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "zero length vector")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = 'bmi_for_age' + , source = "CDC" + , male = 0 + , x = 48 + , qp = numeric(0) + , type = "quantile" + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "zero length vector")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = 'bmi_for_age' + , source = "CDC" + , male = 0 + , x = 48 + , qp = 15 + , type = numeric(0) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "zero length vector")) > > ################################################################################ > # If any length is > 1 but < max length, then error > x <- + tryCatch( + pedbp:::cppPGSF( + metric = character(1) + , source = character(1) + , male = integer(1) + , x = numeric(1) + , qp = numeric(4) + , type = numeric(5) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "all input vectors need to be of equal length, or length 1.")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = character(1) + , source = character(1) + , male = integer(1) + , x = numeric(2) + , qp = numeric(5) + , type = numeric(5) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "all input vectors need to be of equal length, or length 1.")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = character(1) + , source = character(1) + , male = integer(2) + , x = numeric(5) + , qp = numeric(5) + , type = numeric(5) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "all input vectors need to be of equal length, or length 1.")) > > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = character(1) + , source = character(2) + , male = integer(5) + , x = numeric(5) + , qp = numeric(5) + , type = numeric(5) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "all input vectors need to be of equal length, or length 1.")) > > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = character(2) + , source = character(5) + , male = integer(5) + , x = numeric(5) + , qp = numeric(5) + , type = numeric(5) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "all input vectors need to be of equal length, or length 1.")) > > ################################################################################ > # verify error if male is not 0 or 1 > x <- + tryCatch( + pedbp:::cppPGSF( + metric = character(1) + , source = character(1) + , male = 2 + , x = numeric(1) + , qp = numeric(1) + , type = numeric(1) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "male needs to be a 0 or 1")) > > ################################################################################ > # verify error for unknown source > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "bmi_for_age" + , source = "not-a-source" + , male = 0 + , x = numeric(1) + , qp = numeric(1) + , type = numeric(1) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "Unknown source for bmi_for_age data")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "head_circumference_for_age" + , source = "not-a-source" + , male = 0 + , x = numeric(1) + , qp = numeric(1) + , type = numeric(1) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "Unknown source for head_circumference_for_age data")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "height_for_age" + , source = "not-a-source" + , male = 0 + , x = numeric(1) + , qp = numeric(1) + , type = numeric(1) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "Unknown source for height_for_age data")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "weight_for_age" + , source = "not-a-source" + , male = 0 + , x = numeric(1) + , qp = numeric(1) + , type = numeric(1) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "Unknown source for weight_for_age data")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "weight_for_height" + , source = "not-a-source" + , male = 0 + , x = numeric(1) + , qp = numeric(1) + , type = numeric(1) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "Unknown source for weight_for_height data")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "weight_for_length" + , source = "not-a-source" + , male = 0 + , x = numeric(1) + , qp = numeric(1) + , type = numeric(1) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "Unknown source for weight_for_length data")) > > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "length_for_age" + , source = "not-a-source" + , male = 0 + , x = numeric(1) + , qp = numeric(1) + , type = numeric(1) + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "Unknown source for length_for_age data")) > > ################################################################################ > # verify error if unknown type > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "bmi_for_age" + , source = "CDC" + , male = 0 + , x = 48 + , qp = 15 + , type = "Not-a-type" + ) + , error = function(e) e + ) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "type needs to be one of 'quantile', 'distribution', or 'zscore'")) > > ################################################################################ > # verify warning if age is out of bounds > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "bmi_for_age" + , source = "CDC" + , male = 0 + , x = -1 + , qp = 15 + , type = "quantile" + ) + , warning = function(w) w + ) > stopifnot(identical(class(x), c("simpleWarning", "warning", "condition"))) > stopifnot(identical(x$message, "age/stature below lower limit")) > > # verify warning if age is out of bounds > x <- + tryCatch( + pedbp:::cppPGSF( + metric = "bmi_for_age" + , source = "CDC" + , male = 0 + , x = 1000 + , qp = 15 + , type = "quantile" + ) + , warning = function(w) w + ) > stopifnot(identical(class(x), c("simpleWarning", "warning", "condition"))) > stopifnot(identical(x$message, "age/stature above upper limit")) > > > > > ################################################################################ > # check output against published values > internal_lms_data <- + pedbp:::lms_data |> + lapply(lapply, data.table::rbindlist, use.names = TRUE, fill = TRUE) |> + lapply(data.table::rbindlist, use.names = TRUE, fill = TRUE) |> + data.table::rbindlist(use.names = TRUE, fill = TRUE) > > internal_lms_data <- + data.table::melt( + internal_lms_data + , id.vars = c("source", "metric", "male", "age", "height", "length", "L", "M", "S") + , measure.vars = patterns("P") + , variable.factor = FALSE + , variable.name = "published_percentile" + , value.name = "published_quantile" + ) > > internal_lms_data[published_percentile == "P01", published_percentile := 0.001] > internal_lms_data[published_percentile == "P1", published_percentile := 0.010] > internal_lms_data[published_percentile == "P3", published_percentile := 0.030] > internal_lms_data[published_percentile == "P5", published_percentile := 0.050] > internal_lms_data[published_percentile == "P10", published_percentile := 0.100] > internal_lms_data[published_percentile == "P15", published_percentile := 0.150] > internal_lms_data[published_percentile == "P25", published_percentile := 0.250] > internal_lms_data[published_percentile == "P50", published_percentile := 0.500] > internal_lms_data[published_percentile == "P75", published_percentile := 0.750] > internal_lms_data[published_percentile == "P85", published_percentile := 0.850] > internal_lms_data[published_percentile == "P90", published_percentile := 0.900] > internal_lms_data[published_percentile == "P95", published_percentile := 0.950] > internal_lms_data[published_percentile == "P97", published_percentile := 0.970] > internal_lms_data[published_percentile == "P99", published_percentile := 0.990] > internal_lms_data[published_percentile == "P999", published_percentile := 0.999] > internal_lms_data[, published_percentile := as.numeric(published_percentile)] > > internal_lms_data <- internal_lms_data[!is.na(published_quantile)] > > internal_lms_data[, x := fcase(!is.na(age), age, !is.na(length), length, !is.na(height), height)] > > internal_lms_data[, + `:=`( + test_quantile = pedbp:::cppPGSF(metric = metric, source = source, male = male, x = x, qp = published_percentile, type = "quantile"), + test_percentile = pedbp:::cppPGSF(metric = metric, source = source, male = male, x = x, qp = published_quantile, type = "distribution"), + test_zscore = pedbp:::cppPGSF(metric = metric, source = source, male = male, x = x, qp = published_quantile, type = "zscore") + ) + ] > > stopifnot(isTRUE(internal_lms_data[, max(abs(test_quantile - published_quantile)) <= 5.1e-04])) > stopifnot(isTRUE(internal_lms_data[, max(abs(test_percentile - published_percentile)) <= 0.001])) > stopifnot(isTRUE(internal_lms_data[, max(abs(test_percentile - published_percentile)) <= 0.001])) > stopifnot(isTRUE(all.equal(pnorm(internal_lms_data$test_zscore), internal_lms_data$test_percentile))) > > ################################################################################ > # verify that the inputs will be extended as needed > > stopifnot( + internal_lms_data[metric == "bmi_for_age" & source == "CDC" & male == 0, + isTRUE(all.equal( + test_percentile, + pedbp:::cppPGSF(metric = "bmi_for_age", source = "CDC", male = 0, x = x, qp = published_quantile, type = "distribution") + ))] + ) > > stopifnot( + isTRUE( + all.equal( + pedbp:::cppPGSF(metric = "bmi_for_age", source = c("CDC", "WHO"), male = 0, x = 56, qp = 15, type = "distribution"), + c(0.4390000, 0.4294214), + tol = 1e-7 + ) + ) + ) > > > ################################################################################ > ## End of file ## > ################################################################################ > > proc.time() user system elapsed 8.96 0.10 9.01