Plot mean values of LB — g_lb_slide • autoslider.core

Wrapper for `g_mean_general()`. Requires filtering of the datasets (e.g. using SUFFIX in spec.yml)

Usage

g_lb_slide(
  adsl,
  adlb,
  arm = "TRT01P",
  paramcd = "PARAM",
  y = "AVAL",
  subtitle = "Plot of Mean and 95% Confidence Limits by Visit.",
  ...
)

Arguments

adsl: ADSL data
adlb: ADLB data
arm: `"TRT01P"` by default
paramcd: character scalar. defaults to By default `"PARAM"` Which variable to use for plotting.
y: character scalar. Variable to plot on the Y axis. By default `"AVAL"`
subtitle: character scalar forwarded to g_lineplot
...: | Gets forwarded to `tern::g_lineplot()`. This lets you specify additional arguments to `tern::g_lineplot()`

Author

Stefan Thoma (`thomas7`)

Examples

library(dplyr)

adlb_filtered <- eg_adlb %>% filter(
  PARAMCD == "CRP"
)
plot_lb <- g_lb_slide(
  adsl = eg_adsl,
  adlb = adlb_filtered,
  paramcd = "PARAM",
  subtitle_add_unit = FALSE
) +
  ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 45, hjust = 1))
generate_slides(plot_lb, paste0(tempdir(), "/g_lb.pptx"))

# Let's plot change values:
plot_lb_chg <- g_lb_slide(
  adsl = eg_adsl,
  adlb = adlb_filtered,
  paramcd = "PARAM",
  y = "CHG",
  subtitle = "Plot of change from baseline and 95% Confidence Limit by Visit."
)
generate_slides(plot_lb_chg, paste0(tempdir(), "/g_lb_chg.pptx"))