| climber_drugs {openintro} | R Documentation | 
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)
[Package openintro version 2.5.0 Index]