Generate a ggplot Table from Pre-calculated Statistics

Source: R/gg_lineplot.R

Creates a ggplot object containing text data for use as a table component beneath a main plot.

g_lineplot_table(
  df_stats,
  x = "AVISIT",
  group_var = NULL,
  table = c("n", "mean"),
  table_font_size = 3,
  decimal_places = 2
)

Arguments

df_stats

(data.frame)
containing pre-calculated statistics.

x

(string)
Column name for the x-axis (must be in df_stats).

group_var

(string)
Column name for the grouping/stratification variable (can be NULL).

table

(character)
A character vector of statistic column names to display in the table (e.g., c("n", "mean", "mean_ci")).

table_font_size

(integer)
Font size for the table text.

decimal_places

(integer)
Integer specifying the number of decimal places for numeric statistics (like 'mean').

Value

A ggplot object formatted as a table.

Examples

# Create example statistics data frame
df_stats <- data.frame(
  AVISIT = factor(c("Baseline", "Week 4", "Week 8")),
  ARM = c("Treatment", "Treatment", "Treatment"),
  n = c(50, 48, 45),
  mean = c(10.5, 12.3, 14.1),
  mean_ci = c("9.20 11.80", "11.00 13.60", "12.80 15.40")
)

# Generate table with n and mean
g_lineplot_table(
  df_stats = df_stats,
  x = "AVISIT",
  group_var = "ARM",
  table = c("n", "mean")
)