library(testthat)
df <- pmplots_data_obs()
df[["CWRES"]] <- df[["CWRESI"]]
etas <- c("ETA1//ETA-CL", "ETA2//ETA-V2", "ETA3//ETA-KA")
require(rlang)
expect_labels <- function(object, x, y) {
expected <- c(x,y)
mp <- object$mapping
act <- c(quo_name(mp$x), quo_name(mp$y))
expect(identical(act,expected), "Plot labels are not correct.")
}
expect_titles <- function(object, x, y) {
expected <- c(x,y)
act <- c(object$labels$x,object$labels$y)
expect(identical(act,expected), "Plot title is not correct.")
}
expect_x <- function(object, x, name) {
expected <- c(x,name)
mp <- object$mapping
act <- c(quo_name(mp$x),object$labels$x)
expect(identical(act,expected), "x-axis elements are not correct.")
}
expect_y <- function(object, y, name) {
expected <- c(y,name)
mp <- object$mapping
act <- c(quo_name(mp$y),object$labels$y)
expect(identical(act,expected), "y-axis elements are not correct.")
}
test_that("check [PMP-TEST-034]", {
p <- dv_time(df)
expect_is(p, "gg")
expect_labels(p, "TIME", "DV")
expect_titles(p, "Time (hr)", "Observed DV")
})
test_that("dv time [PMP-TEST-035]", {
p <- dv_time(df)
expect_is(p, "gg")
expect_labels(p, "TIME", "DV")
expect_titles(p, "Time (hr)", "Observed DV")
p <- dv_tad(df)
expect_is(p,"gg")
p <- dv_tafd(df)
expect_is(p,"gg")
p <- dv_tafd(df,log = TRUE)
expect_is(p,"gg")
p <- dv_tad(df,log = TRUE)
expect_is(p,"gg")
})
test_that("dv pred [PMP-TEST-036]", {
p <- dv_pred(df, yname="NoDoze (ng/ml)")
expect_is(p, "gg")
expect_labels(p, "PRED", "DV")
expect_titles(p, "Population predicted NoDoze (ng/ml)", "Observed NoDoze (ng/ml)")
p <- dv_ipred(df)
expect_is(p, "gg")
expect_labels(p, "IPRED", "DV")
expect_titles(p, "Individual predicted value", "Observed value")
p <- dv_pred(df,loglog=TRUE)
expect_is(p, "gg")
expect_labels(p, "PRED", "DV")
expect_titles(p, "Population predicted value", "Observed value")
p <- dv_ipred(df,loglog=TRUE)
expect_is(p, "gg")
expect_labels(p, "IPRED", "DV")
expect_titles(p, "Individual predicted value", "Observed value")
p <- dv_preds(df)
expect_is(p,"list")
expect_equal(length(p),2)
form <- formals(dv_pred)
expect_equal(form$logbr, expr(c("full", "half", "null")))
p1 <- dv_pred(df, logbr="null", loglog = TRUE)
expect_is(p1, "gg")
p2 <- dv_pred(df, logbr="full", loglog = TRUE)
expect_is(p2, "gg")
})
test_that("red pred [PMP-TEST-037]", {
p <- res_pred(df)
expect_is(p, "gg")
expect_labels(p, "PRED", "RES")
expect_titles(p, "Population predicted value", "Residual")
p <- wres_pred(df)
expect_is(p, "gg")
expect_labels(p, "PRED", "WRES")
expect_titles(p, "Population predicted value", "Weighted residual")
p <- cwresi_pred(df)
expect_is(p, "gg")
expect_labels(p, "PRED", "CWRESI")
expect_titles(p, "Population predicted value", "CWRES with interaction")
})
test_that("res cont [PMP-TEST-038]", {
p <- cwresi_cont(df, x="WT//Weight (kg)")
expect_is(p, "gg")
expect_labels(p, "WT", "CWRESI")
expect_titles(p, "Weight (kg)", "CWRES with interaction")
expect_error(cwres_cont(df, x="WT/Weight (kg)"))
p <- res_cont(df, "WT")
expect_is(p,"gg")
p <- cwres_cont(df,"WT")
expect_is(p,"gg")
p <- wres_cont(df, "WT")
expect_is(p,"gg")
p <- res_cont(df, x = c("WT", "ALB"))
expect_is(p, "list")
expect_equal(length(p), 2)
})
test_that("res cat [PMP-TEST-039]", {
p <- res_cat(df, x="STUDYc//Study")
expect_is(p, "gg")
expect_labels(p, "STUDYc", "RES")
expect_titles(p, "Study", "Residual")
p <- wres_cat(df, x="STUDYc//Study")
expect_is(p, "gg")
expect_labels(p, "STUDYc", "WRES")
expect_titles(p, "Study", "Weighted residual")
p <- cwresi_cat(df, x="STUDYc//Study")
expect_is(p, "gg")
expect_labels(p, "STUDYc", "CWRESI")
expect_titles(p, "Study", "CWRES with interaction")
})
test_that("eta cat cont hist [PMP-TEST-040]", {
p <- eta_hist(df,etas)
expect_is(p, "list")
p <- p[[1]]
expect_titles(p, "ETA-CL", "count")
p <- eta_cont(df, x="WT//Weight (kg)", y=etas)
expect_is(p, "list")
expect_labels(p[[1]], "WT", "ETA1")
expect_titles(p[[1]], "Weight (kg)", "ETA-CL")
p <- eta_cat(df, x="STUDYc//Study", y=etas)
expect_is(p, "list")
expect_labels(p[[2]], "STUDYc", "ETA2")
expect_titles(p[[2]], "Study", "ETA-V2")
p <- eta_cat(df, x = "STUDYc", y = etas[1])
expect_is(p, "gg")
})
test_that("res hist [PMP-TEST-041]", {
p <- wres_hist(df)
expect_is(p, "gg")
expect_x(p, "WRES", "Weighted residual")
p <- cwresi_hist(df)
expect_is(p, "gg")
expect_x(p, "CWRESI", "CWRES with interaction")
})
test_that("optional density plot over histogram [PMP-TEST-089]", {
# issue 74
x <- npde_hist(df)
expect_is(x, "gg")
expect_length(x$layers, 2)
y <- npde_hist(df, add_density = FALSE)
expect_length(y$layers, 1)
z <- cont_hist(df, x = "NPDE", add_density = TRUE)
expect_length(z$layers, 2)
w <- cont_hist(df, x = "WT", add_density = FALSE)
expect_length(w$layers, 1)
})
test_that("eta pairs [PMP-TEST-042]", {
p <- eta_pairs(df, c("ETA1//ETA-CL", "ETA2//ETA-V2"))
expect_is(p,"ggmatrix")
p2 <- pairs_plot(df, c("ETA1//ETA-CL", "ETA2//ETA-V2"))
expect_equal(p$gg,p2$gg)
p <- eta_pairs(df, "ETA1//ETA-CL")
expect_is(p, "gg")
expect_x(p, "ETA1", "ETA-CL")
p2 <- pairs_plot(df, c("ETA1", "ETA2"))
expect_is(p2,"gg")
p <- eta_pairs(
df,
c("ETA1", "ETA2"),
smooth_color = "red",
smooth_lty=1
)
expect_is(p, "gg")
x <- pmplots:::pairs_lower(
df,
aes(x = TIME,y=DV, smooth_lty=2,smooth_colour="green")
)
expect_is(x,"gg")
x <- pmplots:::pairs_upper(df, aes(x = TIME,y=DV,smooth_lty=2))
expect_is(x,"gg")
})
test_that("pairs_plot with latex [PMP-TEST-043]", {
x <- pairs_plot(df, c("ETA1//ETA$_1$", "ETA2//ETA$_2$", "ETA3//ETA3"))
expect_is(x,"gg")
})
test_that("qq [PMP-TEST-044]", {
expect_is(cwresi_q(df),"gg")
expect_is(wres_q(df),"gg")
expect_is(npde_q(df),"gg")
})
test_that("Axis title customization [PMP-TEST-045]", {
p <- cwresi_time(df, xunit="min")
expect_titles(p, "Time (min)", "CWRES with interaction")
p <- cwresi_time(df, x = "TIME//Study time {xunit}")
expect_titles(p, "Study time (hr)", "CWRES with interaction")
p <- cwresi_time(df, x = "TIME//Study time (seconds)")
expect_titles(p, "Study time (seconds)", "CWRES with interaction")
})
test_that("pm theme [PMP-TEST-046]", {
expect_identical(pm_theme(), theme_bw())
p <- ggplot(df, aes(PRED,DV)) + geom_point()
expect_is(p+pm_theme(), "gg")
expect_is(p+pm_smooth(), "gg")
expect_is(p+pm_hline(), "gg")
expect_is(p+pm_abline(), "gg")
expect_is(p+theme_plain(), "gg")
expect_is(p+pm_smooths(), "gg")
})
test_that("list plots [PMP-TEST-047]", {
x <- c("WT", "CRCL", "ALB")
etas <- c("ETA1", "ETA2")
p <- list_plot_x(df, x, "ETA1")
expect_is(p, "list")
expect_equal(length(p),length(x))
p <- list_plot_y(df, x[1], etas)
expect_is(p, "list")
expect_equal(length(p),length(etas))
p <- list_plot_xy(df, x, etas)
expect_is(p, "list")
expect_equal(length(p),length(etas)*length(x))
})
test_that("eta labs [PMP-TEST-048]", {
x <- eta_labs(CL,V2,KA)
expect_identical(x, c("ETA-CL", "ETA-V2", "ETA-KA"))
x <- eta_col_labs(CL, KA)
expect_identical(x, c(`ETA-CL` = "ETA1//ETA-CL", `ETA-KA` = "ETA2//ETA-KA"))
})
test_that("pairs plot with expression [PMP-TEST-049]", {
p <- pairs_plot(df, c("CWRES", "WRES", "DV//Conc ($\\mu$M)"))
expect_is(p, "gg")
})
test_that("dv_pred_ipred issue-6 [PMP-TEST-050]", {
df <- filter(df, ID <= 15)
p <- dv_pred_ipred(df, ncol = 3, nrow = 5)
expect_is(p,"list")
expect_is(p[[1]],"gg")
p2 <- do_dv_pred_ipred(df, options = list(nrow = 5, ncol =3))
expect_equivalent(p,p2)
expect_error(dv_pred_ipred(df, facets = "USUBJID"))
df[["DV"]][10] <- NA_real_
expect_warning(dv_pred_ipred(df), regexp="removed missing values in dv column")
})
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