In kaybrodersen/FitbitAnalysis: Exploratory Analysis of Fitbit Sensor Data

How to run this doc

1. Install the FitbitAnalysis package.
2. Update kInputPath below to point to your downloaded Fitbit archive.
3. Open this doc in RStudio and run 'Knit' or knitr::knit("rmd/my_overview.Rmd"). To check the location of the doc, try: system.file("rmd", "my_overview.Rmd", package = "FitbitAnalysis").

knitr::opts_chunk$set(echo = TRUE)

options(warn = -1)

Input data

kInputPath <- "/path/to/MyFitbitData/FirstnameLastname/"

library(FitbitAnalysis)
data <- suppressMessages(LoadFitbitData(kInputPath))
head(data)

Daily metrics

Raw daily values of all metrics in the data, including a weekly moving average.

PlotMetrics(data)

Weekly sums

This plot shows weekly data, which may show long-term trends more easily than daily values.

PlotWeeklyMetrics(data)

Day-of-week averages

This plot highlights day-of-week patterns across all metrics.

PlotWeekdayMetrics(data)

Time at rest

This plot shows the distribution of beginning and end of sleep times.

PlotTimeAtRest(data)

Minutes awake vs. start hour

This plot regresses minutes awake on the start hour of every night to highlight how the two are related.

PlotMinutesAwakeVsStartHour(data)

kaybrodersen/FitbitAnalysis documentation built on Feb. 1, 2023, 5:53 a.m.