Continuous covariates distributions

Plots the distributions of the selected continuous covariates.

plot_continuous_covariates_distributions(run, covariates = NULL,
  baseline_only = TRUE, type = "histogram", histogram_bins = 30L,
  boxplot_facets = TRUE, boxplot_drop_unused = FALSE,
  qq_reference_distribution = qnorm, facet_scales = "free",
  overlay_splits = TRUE, auto_legend = TRUE)

Arguments

run

pmxploit NONMEM run object.
covariates

character vector of continous covariates names. Default is NULL, returning all continuous covariates.
baseline_only

logical. Consider only the baseline (= first) values of the subjects. Default is TRUE.
type

character. Type of distribution representation. One of histogram, density, boxplot and qq (Q-Q plot of the Normal distribution). Default is histogram.
histogram_bins

integer. If type = "histogram", sets the number of bins. Default is 30.
boxplot_facets

logical. If type = "boxplot", represent boxplots in different facets when TRUE.
boxplot_drop_unused

logical. If type = "boxplot", drops unused factor levels when TRUE.
facet_scales

character. ggplot2 facet scales. Default is "free".
overlay_splits

logical. If splitting is applied, TRUE will overlay splits on a same graph while FALSE will plot them on different facets. Default is TRUE.
auto_legend

logical. When TRUE (default), default pmxploit plotting options are applied (title, labels, axis...).
split_by

character vector. Names of categorical covariates used to split the distributions.

Value

A ggplot2 object.

Examples

EXAMPLERUN %>% plot_continuous_covariates_distributions()
EXAMPLERUN %>% plot_continuous_covariates_distributions(type = "density")
EXAMPLERUN %>% plot_continuous_covariates_distributions(type = "boxplot")
EXAMPLERUN %>% plot_continuous_covariates_distributions(type = "qq")

EXAMPLERUN %>%
  group_by(SEX) %>%
  plot_continuous_covariates_distributions(type = "boxplot", covariates = c("AGE", "WT"))

EXAMPLERUN %>%
  group_by(SEX, STATIN) %>%
  plot_continuous_covariates_distributions(type = "boxplot", covariates = c("AGE", "WT"))

EXAMPLERUN %>%
  group_by(SEX) %>%
  plot_continuous_covariates_distributions(type = "histogram", covariates = c("AGE", "WT"))

EXAMPLERUN %>%
  group_by(SEX) %>%
  plot_continuous_covariates_distributions(type = "histogram",
                                           covariates = c("AGE", "WT"),
                                           overlay_splits = FALSE)

EXAMPLERUN %>%
  group_by(SEX) %>%
  plot_continuous_covariates_distributions(type = "density")