Drug Use Data EDA Functions: — create_bar_use_plot • pkg.drugage

Functions to run exploratory data analysis on a drug use dataset:

create_bar_use_plot(): Creates a bar plot for substance use.
create_bar_freq_plot(): Creates a bar plot for substance use frequency.
create_scatter_plot(): Creates a scatter plot with a regression line.
aggregate_data(): Aggregates data for youth vs. adult comparison.
create_grouped_bar_plot(): Creates grouped bar plots for youth vs. adult comparison. Function to create bar plot for substance use

Usage

create_bar_use_plot(
  data,
  x_var,
  y_var,
  title,
  x_label,
  y_label,
  fill_color,
  output_file
)

Arguments

data: A .csv dataframe containing data to be plotted.
x_var: A string specifying the x-axis variable.
y_var: A string specifying the y-axis variable.
title: A string specifying the plot title.
x_label: A string specifying the x-axis label.
y_label: A string specifying the y-axis label.
fill_color: A string specifying the fill color for the bars.
output_file: A string specifying the output file path for saving the plot.

Value

ggplot objects representing the generated plot

Examples

sample_data <- data.frame(
 age = c("18-24", "25-34", "35-44"),
 alcohol.use = c(80, 75, 60),
 alcohol.frequency = c(20, 15, 10),
 marijuana.use = c(50, 30, 20),
 heroin.frequency = c(5, 3, 2),
 class = c("youth", "adult", "adult"),
 n = c(100, 200, 150)
)
create_bar_use_plot(
sample_data,
"age",
"alcohol.use",
"Alcohol Use",
"Age",
"Proportion",
"dodgerblue",
"output/eda-test/test1.png"
)