Helper function to create simple line plot over time

Function that generates a simple line plot displaying parameter trends over time.

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 when TRUE.

yvar_baseline

(string)
variable with baseline values only. Ignored when add_baseline_hline is FALSE.

ggtheme

(theme)
optional graphical theme function as provided by ggplot2 to control outlook of plot. Use ggplot2::theme() to tweak the display.

col

(character)
line colors.

Value

A ggplot line plot.

See also

g_ipp() which uses this function.

Examples

library(dplyr)

# 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