climber_drugs: Climber Drugs Data.

In openintro: Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

Climber Drugs Data.

Description

Anonymous data was collected from urine samples at huts along the climb of Mont Blanc. Several types of drugs were tested, and proportions were reported.

Usage

climber_drugs

Format

A data frame with 211 rows and 6 variables.

positive_sample

Idendification number of a specific urine sample.

hut

Location where the sample was taken.

substance

Substance detected to be present in the urine sample.

concentration

Amount of substance found measured in ng/ml.

screening_analysis

Indicates that the concentration was determined by screening analysis.

concomitant

Indicates that this substance was always detected concomitantly with the previous one, within the same urine sample.

Source

PLOS One - Drug Use on Mont Blanc: A Study Using Automated Urine Collection

Examples

library(dplyr)

# Calculate the average concentration of each substance and number of occurrences.
climber_drugs |>
  group_by(substance) |>
  summarize(count = n(), mean_con = mean(concentration))

# Proportion samples in which each substance was detected.
climber_drugs |>
  group_by(substance) |>
  summarize(prop = n() / 154)

openintro documentation built on June 22, 2024, 7:37 p.m.