plot_individual_profiles: Individual profiles (observations, predictions) versus...

In pnolain/pmxploit: Pharmacometric tools for post-processing of mixed-effects models for continuous data

Individual profiles (observations, predictions) versus independent variable

Description

Individual profiles (observations, predictions) versus independent variable

Usage

plot_individual_profiles(
  run,
  ids = NULL,
  compartment,
  predictions = "PRED",
  idv = "TIME",
  log_dv = FALSE,
  predictions_dots = TRUE,
  show_observations = TRUE,
  categorical_covariate = NULL,
  x_scale = "linear",
  y_scale = "linear",
  logticks_annotation = TRUE,
  facetted = TRUE,
  facet_scales = "free",
  n_row = NULL,
  n_col = NULL,
  keep_time_zero = FALSE,
  auto_legend = TRUE
)

Arguments

run	pmxploit NONMEM run object.
ids	integer vector of the IDs of the individuals to plot. Default is NULL, plotting all the individuals.
compartment	integer. Number of the compartment of the dependent variable.
predictions	character vector. Name of the predictions column(s) in the dataset. Default is "PRED" for both population predictions and individual predictions.
idv	character. Name of the independent variable column to plot on the x-axis. Default is "TIME".
log_dv	logical. Set it to TRUE if the source dependent variable are in log_scale.
predictions_dots	logical. If TRUE plot predictions as dots on top of the profile lines.
show_observations	logical. If TRUE plot observations.
categorical_covariate	character. A categorical covariate to split the data. May be useful for covariates that vary within an individual.
x_scale	character. X-axis scale, one of "linear" or "log". Default is "linear".
y_scale	character. Y-axis scale, one of "linear" or "log". Default is "linear".
logticks_annotation	logical. If x_scale and/or y_scale are "log", adds ticks annotation on the axis.
facetted	logical. If TRUE (default), plots each individual inside a separate facet.
facet_scales	character. ggplot2 facet scales. Default is "free".
n_row	integer. Number of rows of facets.
n_col	integer. Number of columns of facets.
keep_time_zero	logical. If TRUE, does not ignore values at initiation (when TIME = 0). Default is FALSE.
auto_legend	logical. When TRUE (default), default pmxploit plotting options are applied (title, labels, axis...).

Value

A ggplot2 object.

Examples

EXAMPLERUN %>% plot_individual_profiles(ids = 1:4, compartment = 2, predictions = "PRED")

EXAMPLERUN %>% plot_individual_profiles(compartment = 2, predictions = "PRED", facetted = FALSE)

pnolain/pmxploit documentation built on Jan. 31, 2024, 1:16 p.m.