A Comprehensive Collection of Health and Human Motion Datasets

Provides a broad collection of datasets focused on health, biomechanics, and human motion. It includes clinical, physiological, and kinematic information from diverse sources, covering aspects such as surgery outcomes, vital signs, rheumatoid arthritis, osteoarthritis, accelerometry, gait analysis, motion sensing, and biomechanics experiments. Designed for researchers, analysts, and students, the package facilitates exploration and analysis of data related to health monitoring, physical activity, and rehabilitation.


healthmotionR

The healthmotionR package provides a comprehensive collection of datasets related to health, biomechanics, and human motion. It was designed to support researchers, analysts, and students who are interested in exploring clinical, physiological, and kinematic data.

Installation

You can install the healthmotionR package from CRAN with the following R function:


install.packages("healthmotionR")

Load the Package


library(healthmotionR)

Dataset Suffixes

Each dataset in the healthmotionR package uses a suffix to denote the type of R object:

  • _df: data frame

  • _tbl_df: tibble

  • _list: list

  • _array: array

  • _char: character

Example Datasets

Below are selected example datasets included in the healthmotionR package:

  • body_metrics_df: Data frame containing measurements of body temperature and heart rate for 130 healthy individuals.

  • run_biomech_tbl_df: Running Injury Clinic Kinematic Dataset.

Example Code:


# Load the package

library(healthmotionR)

# Load dataset

data(run_biomech_tbl_df)

# Preview the dataset

head(run_biomech_tbl_df)

# Open in Viewer

View(run_biomech_tbl_df)

Reference manual

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install.packages("healthmotionR")

0.2.0 by Oscar Alejandro Sialer Gallo, a year ago


https://github.com/alejandrosialer/healthmotionR, https://alejandrosialer.github.io/healthmotionR/


Report a bug at https://github.com/alejandrosialer/healthmotionR/issues


Browse source code at https://github.com/cran/healthmotionR


Authors: Oscar Alejandro Sialer Gallo [aut, cre] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Suggests ggplot2, dplyr, testthat, knitr, rmarkdown


See at CRAN