# Packages library(testthat) library(data.table) library(multilevelcoda) library(extraoperators) library(brms) library(lme4) # Model #--------------------------------------------------------------------------------------------------- data(mcompd) data(sbp) data(psub) cilr <- complr(data = mcompd[ID %in% 1:10, .SD[1:3], by = ID], sbp = sbp, parts = c("TST", "WAKE", "MVPA", "LPA", "SB"), idvar = "ID") test_that("complr errors if it should", { ## incorrect dataset type d <- list( bilr = 1:10, wilr = 1:10 ) expect_error(x <- complr(d, sbp = sbp, parts = c("TST", "WAKE", "MVPA", "LPA", "SB"), idvar = "ID" )) ## incorrect sbp sbp1 <- matrix(c( 1, -1, -1,-1, 0, 1, -1, -1, 0, 0, 1, -1), ncol = 4, byrow = TRUE) expect_error(x <- complr(data = mcompd[ID %in% 1:10, .SD[1:3], by = ID], sbp = sbp1, parts = c("TST", "WAKE", "MVPA", "LPA", "SB"), idvar = "ID" )) ## incorrect sbp type sbp2 <- data.table(v1 = c(1, -1, -1,-1), v2 = c(0, 1, -1, -1), v3 = c(0, 0, 1, -1)) expect_error(x <- complr(data = mcompd[ID %in% 1:10, .SD[1:3], by = ID], sbp = sbp2, parts = c("TST", "WAKE", "MVPA", "LPA", "SB"), idvar = "ID" )) ## dataset contains ilr mcompd[, bilr1 := .1] expect_error(x <- complr(data = mcompd[ID %in% 1:10, .SD[1:3], by = ID], sbp = sbp, parts = c("TST", "WAKE", "MVPA", "LPA", "SB"), idvar = "ID" )) # sbp contains invalid values sbpe <- matrix(c( 1, 1, -1,-1, -1, 1, -1, 0, 0, 0, 0, 0, 1, -1, -2, 0, 0, 0, 1, -1), ncol = 5, byrow = TRUE) expect_error(x <- complr(data = mcompd[ID %in% 1:10, .SD[1:3], by = ID], sbp = sbpe, parts = c("TST", "WAKE", "MVPA", "LPA", "SB"), idvar = "ID")) # data has 0 mcompd0 <- mcompd[ID %in% 1:10, .SD[1:3]][, .(TST = 0, WAKE = 0, MVPA = 0, LPA = 0, SB = 0)] expect_error(x <- complr(data =mcompd0, sbp = sbp, parts = c("TST", "WAKE", "MVPA", "LPA", "SB"), idvar = "ID")) })