overview_all_runs: overview_all_runs

In christianbromley/garmintrackR: Processing And Plotting Garmin Connect Output Data

Description

A function to generate stylish plots that rapidly give an overview of your running.

Usage

overview_all_runs(
  data,
  date_from = NA,
  plot,
  target_time = median(data$Avg.Pace)
)

Arguments

date_from	a date processed by as.Date e.g as.Date("2020-03-18"). This is a cut-off data for your analysis. Everything after this will be included in the analysis.
plot	can be one of "runs_per_loc_per_dist", "distance_per_location", "mean_pace", "pca_plot", and "total_runs"
target_time	a pace in the form "7:30" (character variable) with "minutes:seconds" that is one previously achieved that you wish to mark on your plots, OR it could be a target pace you have set yourself
output	from the processGarminRunning function

Value

plot

Examples

#let's process my data so that it's good for R, and tidy for plotting
my_runs <- processGarminRunning(data=garmin)

#What about my pace - calculate my mean avg.pace amongst all my runs per location

overview_all_runs(my_runs,
                     date_from = as.Date("2020-03-18"),
                     plot = "mean_pace",
                     target_time = "7:18")

#Note the 5-10 mile runs the pace is slightly faster in manchester than in Bromsgrove probably because of the hills!

# we can also utilise numeric data to do PCA analysis - what are the major sources of variation in our running data?
overview_all_runs(my_runs,
                     date_from = as.Date("2020-03-18"),
                     plot = "pca_plot",
                     target_time = "7:18")

christianbromley/garmintrackR documentation built on Sept. 24, 2020, 12:44 a.m.