autoslider.core (version 0.2.5)

g_mean_general: Plot mean values general function used by wrappers `g_vs_slide`,`g_lb_slide`, & `g_eg_slide`

Description

adapted from https://insightsengineering.github.io/tlg-catalog/stable/graphs/other/mng01.html

Usage

g_mean_general(
  adsl,
  data,
  variables = control_lineplot_vars(group_var = "TRT01P"),
  by_vars = c("USUBJID", "STUDYID"),
  subtitle = "Plot of Mean and 95% Confidence Limits by Visit.",
  ...
)

Arguments

adsl

ADSL dataset

data

dataset containing the variable of interest in PARAMCD and AVAL

variables

(named character) vector of variable names in df which should include:

• x (string)
  name of x-axis variable.

• y (string)
  name of y-axis variable.

• group_var (string or NULL)
  name of grouping variable (or strata), i.e. treatment arm. Can be NA to indicate lack of groups.

• subject_var (string or NULL)
  name of subject variable. Only applies if group_var is not NULL.

• paramcd (string or NA)
  name of the variable for parameter's code. Used for y-axis label and plot's subtitle. Can be NA if paramcd is not to be added to the y-axis label or subtitle.

• y_unit (string or NA)
  name of variable with units of y. Used for y-axis label and plot's subtitle. Can be NA if y unit is not to be added to the y-axis label or subtitle.

• facet_var (string or NA)
  name of the secondary grouping variable used for plot faceting, i.e. treatment arm. Can be NA to indicate lack of groups.

by_vars

variables to merge the two datasets by

subtitle

character scalar forwarded to g_lineplot

...

additional arguments passed to `tern::g_lineplot`

Author

Stefan Thoma (`thomas7`)

Examples

library(dplyr)
advs_filtered <- eg_advs %>% filter(
  PARAMCD == "SYSBP"
)
out1 <- g_mean_general(eg_adsl, advs_filtered)
generate_slides(out1, paste0(tempdir(), "/g_mean.pptx"))