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.
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.
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))
#> # A tibble: 33 × 3
#> substance count mean_con
#> <chr> <int> <dbl>
#> 1 Acetazolamide 78 30385.
#> 2 Anastrozole 1 250
#> 3 Benzoylecgonine 3 181.
#> 4 Betamethasone 3 25
#> 5 Betaxolol 2 201
#> 6 Bisoprolol 1 64
#> 7 Bromazepam 1 23
#> 8 Brotizolam 1 1
#> 9 Budesonide 2 15
#> 10 Caffeine 4 7725
#> # ℹ 23 more rows
# Proportion samples in which each substance was detected.
climber_drugs |>
group_by(substance) |>
summarize(prop = n() / 154)
#> # A tibble: 33 × 2
#> substance prop
#> <chr> <dbl>
#> 1 Acetazolamide 0.506
#> 2 Anastrozole 0.00649
#> 3 Benzoylecgonine 0.0195
#> 4 Betamethasone 0.0195
#> 5 Betaxolol 0.0130
#> 6 Bisoprolol 0.00649
#> 7 Bromazepam 0.00649
#> 8 Brotizolam 0.00649
#> 9 Budesonide 0.0130
#> 10 Caffeine 0.0260
#> # ℹ 23 more rows