Usage
h_g_ipp(
  df,
  xvar,
  yvar,
  xlab,
  ylab,
  id_var,
  title = "Individual Patient Plots",
  subtitle = "",
  caption = NULL,
  add_baseline_hline = FALSE,
  yvar_baseline = "BASE",
  ggtheme = nestcolor::theme_nest(),
  col = NULL
)Arguments
- df
 (
data.frame)
data set containing all analysis variables.- xvar
 (
string)
time point variable to be plotted on x-axis.- yvar
 (
string)
continuous analysis variable to be plotted on y-axis.- xlab
 (
string)
plot label for x-axis.- ylab
 (
string)
plot label for y-axis.- id_var
 (
string)
variable used as patient identifier.- title
 (
string)
title for plot.- subtitle
 (
string)
subtitle for plot.- caption
 (
string)
optional caption below the plot.- add_baseline_hline
 (
flag)
adds horizontal line at baseline y-value on plot whenTRUE.- yvar_baseline
 (
string)
variable with baseline values only. Ignored whenadd_baseline_hlineisFALSE.- ggtheme
 (
theme)
optional graphical theme function as provided byggplot2to control outlook of plot. Useggplot2::theme()to tweak the display.- col
 (
character)
line colors.
See also
g_ipp() which uses this function.
Examples
library(dplyr)
library(nestcolor)
# Select a small sample of data to plot.
adlb <- tern_ex_adlb %>%
  filter(PARAMCD == "ALT", !(AVISIT %in% c("SCREENING", "BASELINE"))) %>%
  slice(1:36)
p <- h_g_ipp(
  df = adlb,
  xvar = "AVISIT",
  yvar = "AVAL",
  xlab = "Visit",
  id_var = "USUBJID",
  ylab = "SGOT/ALT (U/L)",
  add_baseline_hline = TRUE
)
p
