Other packages > Find by keyword >

fitbitr  

Interface with the 'Fitbit' API
View on CRAN: Click here


Download and install fitbitr package within the R console
Install from CRAN:
install.packages("fitbitr")

Install from Github:
library("remotes")
install_github("cran/fitbitr")

Install by package version:
library("remotes")
install_version("fitbitr", "0.3.0")



Attach the package and use:
library("fitbitr")
Maintained by
Matt Kaye
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-07
Latest Update: 2023-03-25
Description:
Many 'Fitbit' users, and R-friendly 'Fitbit' users especially, have found themselves curious about their 'Fitbit' data. 'Fitbit' aggregates a large amount of personal data, much of which is interesting for personal research and to satisfy curiosity, and is even potentially useful in medical settings. The goal of 'fitbitr' is to make interfacing with the 'Fitbit' API as streamlined as possible, to make it simple for R users of all backgrounds and comfort levels to analyze their 'Fitbit' data and do whatever they want with it! Currently, 'fitbitr' includes methods for pulling data on activity, sleep, and heart rate, but this list is likely to grow in the future as the package gains more traction and more requests for new methods to be implemented come in. You can find details on the 'Fitbit' API at .
How to cite:
Matt Kaye (2021). fitbitr: Interface with the 'Fitbit' API. R package version 0.3.0, https://cran.r-project.org/web/packages/fitbitr. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:39), 0.1.0 (2021-06-07 11:40), 0.2.0 (2021-08-22 06:10)
Other packages that cited fitbitr R package
View fitbitr citation profile
Other R packages that fitbitr depends, imports, suggests or enhances
Complete documentation for fitbitr
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA