climbers_sub: Himalayan Climber Data

In mermboost: Gradient Boosting for Generalized Additive Mixed Models

Himalayan Climber Data

Description

A filtered sub-sample of the Himalayan Database distributed through the R for Data Science TidyTuesday project. This dataset includes information on the results and conditions for various Himalayan climbing expeditions. Each row corresponds to a single member of a climbing expedition team.

Usage

data("climbers_sub")

Format

A filtered version of the one one from bayesrules. A data frame with 2068 observations (1 per climber) and 19 variables:

expedition_id

unique expedition identifier

member_id

unique climber identifier

peak_id

unique identifier of the expedition's destination peak

peak_name

name of the expedition's destination peak

year

year of expedition

season

season of expedition (Autumn, Spring, Summer, Winter)

sex

climber gender identity which the database oversimplifies to a binary category

age

climber age

citizenship

climber citizenship

expedition_role

climber's role in the expedition (eg: Co-Leader)

hired

whether the climber was a hired member of the expedition

success

whether the climber successfully reached the destination

solo

whether the climber was on a solo expedition

oxygen_used

whether the climber utilized supplemental oxygen

died

whether the climber died during the expedition

injured

whether the climber was injured on the expedition

count

number of climbers in the expedition

height_metres

height of the peak in meters

first_ascent_year

the year of the first recorded summit of the peak (though not necessarily the actual first summit!)

Source

Original source: https://www.himalayandatabase.com/. Complete dataset distributed by: https://github.com/rfordatascience/tidytuesday/tree/master/data/2020/2020-09-22/.

mermboost documentation built on April 4, 2025, 1:41 a.m.