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Type 'q()' to quit R. > library(pedbp) > > ################################################################################ > # simple print test > print_test <- + q_bp(p_sbp = c(0.5, 0.5), p_dbp = c(0.4, 0.32), age = 13, male = 0) > > stopifnot( + identical( + capture.output(print_test) + , + capture.output(print_test[1:2]) + ) + ) > > ################################################################################ > # Verify error if Unknown source > x <- tryCatch(p_bp(q_sbp = 0.5, q_dbp = 0.5, male = 0, age = 55, source = c("not-a-source")), error = function(e) e) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "'arg' should be one of “martin2022”, “gemelli1990”, “nhlbi”, “lo2013”, “flynn2017”") | + identical(x$message, "'arg' should be one of \"martin2022\", \"gemelli1990\", \"nhlbi\", \"lo2013\", \"flynn2017\"")) > > x <- tryCatch(q_bp(p_sbp = 0.5, p_dbp = 0.5, male = 0, age = 55, source = c("not-a-source")), error = function(e) e) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "'arg' should be one of “martin2022”, “gemelli1990”, “nhlbi”, “lo2013”, “flynn2017”") | + identical(x$message, "'arg' should be one of \"martin2022\", \"gemelli1990\", \"nhlbi\", \"lo2013\", \"flynn2017\"")) > > x <- tryCatch(p_bp(q_sbp = 0.5, q_dbp = 0.5, male = 0, age = 55, source = character(0)), error = function(e) e) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "'arg' should be one of “martin2022”, “gemelli1990”, “nhlbi”, “lo2013”, “flynn2017”") | + identical(x$message, "'arg' should be one of \"martin2022\", \"gemelli1990\", \"nhlbi\", \"lo2013\", \"flynn2017\"")) > > x <- tryCatch(q_bp(p_sbp = 0.5, p_dbp = 0.5, male = 0, age = 55, source = character(0)), error = function(e) e) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "'arg' should be one of “martin2022”, “gemelli1990”, “nhlbi”, “lo2013”, “flynn2017”") | + identical(x$message, "'arg' should be one of \"martin2022\", \"gemelli1990\", \"nhlbi\", \"lo2013\", \"flynn2017\"")) > > ################################################################################ > # Verify error if more than one source > x <- tryCatch(p_bp(q_sbp = 0.5, q_dbp = 0.5, male = 0, age = 55, source = c("martin2022", "nhlbi")), error = function(e) e) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "'arg' must be of length 1")) > > x <- tryCatch(q_bp(p_sbp = 0.5, p_dbp = 0.5, male = 0, age = 55, source = c("martin2022", "nhlbi")), error = function(e) e) > stopifnot(identical(class(x), c("simpleError", "error", "condition"))) > stopifnot(identical(x$message, "'arg' must be of length 1")) > > ################################################################################ > # Verify expected output for gemelli1990 > x <- + p_bp( + q_sbp = gemelli1990$sbp_mean + , q_dbp = gemelli1990$dbp_mean + , age = gemelli1990$age + , male = gemelli1990$male + , height = NA + , height_percentile = NA + , default_height_percentile = 0.5 + , source = "gemelli1990" + ) > stopifnot(identical(class(x), c("pedbp_bp", "pedbp_p_bp"))) > stopifnot(identical(length(x), 2L)) > stopifnot(identical(length(x[[1]]), nrow(gemelli1990))) > stopifnot(identical(length(x[[2]]), nrow(gemelli1990))) > stopifnot(identical(class(attr(x, "bp_params")), "data.frame")) > stopifnot(isTRUE(all.equal(unname(x), list(rep(0.5, nrow(gemelli1990)), rep(0.5, nrow(gemelli1990))), check.attributes = FALSE))) > > x <- + q_bp( + p_sbp = 0.5 + , p_dbp = 0.5 + , age = gemelli1990$age + , male = gemelli1990$male + , height = NA + , height_percentile = NA + , default_height_percentile = 0.5 + , source = "gemelli1990" + ) > stopifnot(identical(class(x), c("pedbp_bp", "pedbp_q_bp"))) > stopifnot(identical(length(x), 2L)) > stopifnot(identical(length(x[[1]]), nrow(gemelli1990))) > stopifnot(identical(length(x[[2]]), nrow(gemelli1990))) > stopifnot(identical(class(attr(x, "bp_params")), "data.frame")) > stopifnot(isTRUE(all.equal(unname(x), as.list(gemelli1990[c("sbp_mean", "dbp_mean")]), check.attributes = FALSE))) > > ################################################################################ > # Verify expected output for lo2013 > x <- + p_bp( + q_sbp = lo2013$sbp_mean + , q_dbp = lo2013$dbp_mean + , age = lo2013$age + , male = lo2013$male + , height = NA + , height_percentile = NA + , default_height_percentile = 0.5 + , source = "lo2013" + ) > stopifnot(identical(class(x), c('pedbp_bp', 'pedbp_p_bp'))) > stopifnot(identical(length(x), 2L)) > stopifnot(identical(length(x[[1]]), nrow(lo2013))) > stopifnot(identical(length(x[[2]]), nrow(lo2013))) > stopifnot(identical(class(attr(x, "bp_params")), "data.frame")) > stopifnot(isTRUE(all.equal(unname(x), list(rep(0.5, nrow(lo2013)), rep(0.5, nrow(lo2013))), check.attributes = FALSE))) > > x <- + q_bp( + p_sbp = 0.5 + , p_dbp = 0.5 + , age = lo2013$age + , male = lo2013$male + , height = NA + , height_percentile = NA + , default_height_percentile = 0.5 + , source = "lo2013" + ) > stopifnot(identical(class(x), c('pedbp_bp', 'pedbp_q_bp'))) > stopifnot(identical(length(x), 2L)) > stopifnot(identical(length(x[[1]]), nrow(lo2013))) > stopifnot(identical(length(x[[2]]), nrow(lo2013))) > stopifnot(identical(class(attr(x, "bp_params")), "data.frame")) > stopifnot(isTRUE(all.equal(unname(x), as.list(lo2013[c("sbp_mean", "dbp_mean")]), check.attributes = FALSE))) > > ################################################################################ > # verify output for nhlbi > nq <- + q_bp( + p_sbp = nhlbi_bp_norms$bp_percentile/100, + p_dbp = nhlbi_bp_norms$bp_percentile/100, + male = nhlbi_bp_norms$male, + age = nhlbi_bp_norms$age, + height = NA, + height_percentile = nhlbi_bp_norms$height_percentile, + default_height_percentile = 0.5, + source = "nhlbi" + ) > > np <- + p_bp( + q_sbp = nhlbi_bp_norms$sbp, + q_dbp = nhlbi_bp_norms$dbp, + male = nhlbi_bp_norms$male, + age = nhlbi_bp_norms$age, + height = NA, + height_percentile = nhlbi_bp_norms$height_percentile, + default_height_percentile = 0.5, + source = "nhlbi" + ) > > nhlbi_bp <- + cbind(nhlbi_bp_norms, + pedbp_sbp = nq$sbp, + pedbp_dbp = nq$dbp, + pedbp_sbp_p = np$sbp_p * 100, + pedbp_dbp_p = np$dbp_p * 100 + ) > > # All the quantile estimates are within 2 mmHg: > stopifnot(max(abs(nhlbi_bp$pedbp_sbp - nhlbi_bp$sbp)) < 2) > stopifnot(max(abs(nhlbi_bp$pedbp_dbp - nhlbi_bp$dbp)) < 2) > > # All the percentiles are within 2 percentile points: > stopifnot(max(abs(nhlbi_bp$pedbp_sbp_p - nhlbi_bp$bp_percentile)) < 2) > stopifnot(max(abs(nhlbi_bp$pedbp_dbp_p - nhlbi_bp$bp_percentile)) < 2) > > ################################################################################ > # verify output for flynn2017 > nq <- + q_bp( + p_sbp = flynn2017$bp_percentile/100, + p_dbp = flynn2017$bp_percentile/100, + male = flynn2017$male, + age = flynn2017$age, + height = NA, + height_percentile = flynn2017$height_percentile, + default_height_percentile = 0.5, + source = "flynn2017" + ) > > np <- + p_bp( + q_sbp = flynn2017$sbp, + q_dbp = flynn2017$dbp, + male = flynn2017$male, + age = flynn2017$age, + height = NA, + height_percentile = flynn2017$height_percentile, + default_height_percentile = 0.5, + source = "flynn2017" + ) > > flynn2017 <- + cbind(flynn2017, + pedbp_sbp = nq$sbp, + pedbp_dbp = nq$dbp, + pedbp_sbp_p = np$sbp_p * 100, + pedbp_dbp_p = np$dbp_p * 100 + ) > > > # All the quantile estimates are within 2 mmHg: > stopifnot(max(abs(flynn2017$pedbp_sbp - flynn2017$sbp)) < 2) > stopifnot(max(abs(flynn2017$pedbp_dbp - flynn2017$dbp)) < 2) > > # All the percentiles are within 2 percentile points: > stopifnot(max(abs(flynn2017$pedbp_sbp_p - flynn2017$bp_percentile)) < 2) > stopifnot(max(abs(flynn2017$pedbp_dbp_p - flynn2017$bp_percentile)) < 2) > > ################################################################################ > # test output for martin2022 > > test_martin2022 <- + expand.grid(age = seq(0, 217, by = 1), + male = 0:1, + height = c(NA, seq(75, 160, by = 10)), + height_percentile = c(NA, seq(0.01, 0.99, by = 0.1)), + source = NA_character_, + stringsAsFactors = FALSE + ) > # build up the expected source > test_martin2022$source[test_martin2022$age < 12] <- "gemelli1990" > > test_martin2022$source[(test_martin2022$age >= 12) & + (!is.na(test_martin2022$height) | !is.na(test_martin2022$height_percentile)) + ] <- "nhlbi" > > test_martin2022$source[(test_martin2022$age >= 12) & + (is.na(test_martin2022$height) & is.na(test_martin2022$height_percentile)) & + (test_martin2022$age < 36) + ] <- "nhlbi" > > test_martin2022$source[(test_martin2022$age >= 12) & + (is.na(test_martin2022$height) & is.na(test_martin2022$height_percentile)) & + (test_martin2022$age >= 36) + ] <- "lo2013" > > # clean up expected source > test_martin2022$source[test_martin2022$age <= 0] <- NA_character_ > test_martin2022$source[test_martin2022$age > 216] <- NA_character_ > > original_hash <- digest::digest(test_martin2022) > > x <- + p_bp( + q_sbp = numeric(1), + q_dbp = numeric(1), + age = test_martin2022$age, + male = test_martin2022$male, + height = test_martin2022$height, + height_percentile = test_martin2022$height_percentile, + default_height_percentile = 0.8, + source = "martin2022" + ) > > new_hash <- digest::digest(test_martin2022) > stopifnot(identical(original_hash, new_hash)) > > x <- attr(x, 'bp_params') > stopifnot(identical(test_martin2022$source, x$source) ) > > x <- + q_bp( + p_sbp = numeric(1), + p_dbp = numeric(1), + age = test_martin2022$age, + male = test_martin2022$male, + height = test_martin2022$height, + height_percentile = test_martin2022$height_percentile, + default_height_percentile = 0.8, + source = "martin2022" + ) > > new_hash <- digest::digest(test_martin2022) > stopifnot(identical(original_hash, new_hash)) > > x <- attr(x, 'bp_params') > stopifnot(identical(test_martin2022$source, x$source) ) > > ################################################################################ > # Verify that p_bp and q_bp undo each other > x <- + expand.grid(age = seq(1, 216, by = 1), + male = 0:1, + height = c(NA, seq(75, 160, by = 10)), + height_percentile = c(NA, seq(0.01, 0.99, by = 0.1)), + p = seq(0, 1, by = 0.05), + stringsAsFactors = FALSE) > > original_hash <- digest::digest(x) > > yq <- + q_bp(p_sbp = x$p, + p_dbp = x$p, + age = x$age, + male = x$male, + height = x$height, + height_percentile = x$height_percentile, + default_height_percentile = 0.8, + source = "martin2022") > > new_hash <- digest::digest(x) > stopifnot(identical(original_hash, new_hash)) # test needed re #18 > > yp <- + p_bp(q_sbp = yq$sbp, + q_dbp = yq$dbp, + age = x$age, + male = x$male, + height = x$height, + height_percentile = x$height_percentile, + default_height_percentile = 0.8, + source = "martin2022") > > new_hash <- digest::digest(x) > stopifnot(identical(original_hash, new_hash)) # test needed re #18 > > bp_params1 <- attr(yq, "bp_params") > bp_params2 <- attr(yp, "bp_params") > stopifnot(isTRUE(all.equal(bp_params1, bp_params2))) # test needed re #18 > > x$q_sbp <- yq$sbp > x$q_dbp <- yq$dbp > x$p_sbp <- yp$sbp_p > x$p_dbp <- yp$dbp_p > > #names(bp_params1) <- paste0(names(bp_params1), "1") > #names(bp_params2) <- paste0(names(bp_params2), "2") > x <- cbind(x, bp_params1) > #head(x) > > stopifnot(isTRUE(with(x, all.equal(pnorm(q_sbp, mean = sbp_mean, sd = sbp_sd), p_sbp)))) > stopifnot(isTRUE(with(x, all.equal(pnorm(q_dbp, mean = dbp_mean, sd = dbp_sd), p_dbp)))) > stopifnot(isTRUE(with(x, all.equal(qnorm(p_sbp, mean = sbp_mean, sd = sbp_sd), q_sbp)))) > stopifnot(isTRUE(with(x, all.equal(qnorm(p_dbp, mean = dbp_mean, sd = dbp_sd), q_dbp)))) > > ################################################################################ > # verify z_bp is as expected > yq <- + z_bp(q_sbp = yq$sbp, + q_dbp = yq$dbp, + age = x$age, + male = x$male, + height = x$height, + height_percentile = x$height_percentile, + default_height_percentile = 0.8, + source = "martin2022") > > x$z_sbp <- yq$sbp_z > x$z_dbp <- yq$dbp_z > > stopifnot(isTRUE(with(x, all.equal(pnorm(z_sbp), p_sbp)))) > stopifnot(isTRUE(with(x, all.equal(pnorm(z_dbp), p_dbp)))) > stopifnot(isTRUE(with(x, all.equal(qnorm(p_sbp, mean = sbp_mean, sd = sbp_sd), (z_sbp * sbp_sd) + sbp_mean)))) > stopifnot(isTRUE(with(x, all.equal(qnorm(p_dbp, mean = dbp_mean, sd = dbp_sd), (z_dbp * dbp_sd) + dbp_mean)))) > > ################################################################################ > ## End of file ## > ################################################################################ > > proc.time() user system elapsed 17.14 0.45 17.57