overview_individual_runs: overview_individual_runs

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

Description

A function to generate stylish plots that rapidly summarise your running performance.

Usage

overview_individual_runs(
  data,
  date_from = NA,
  plot = "distance",
  target_time = median(data$Avg.Pace)
)

Arguments

date_from	a cut-off for runs that you wish to look at in the format e.g as.Date("2020-03-18")
plot	can be one of "distance", "pace", "dist_pace", "dist_time", "dist_cals", "cumulative_dist", "pace_per_dist.gp","heart.rate_dist.gp","cadence_dist.gp", "elevation", "elevation_by_dist"
output	from the processGarminRunning function
target_pace	your half marathon time for example or a target pace that you want to run at in the format "8:00" "minutes:seconds".

Value

plot

Examples

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

# I'm firstly interested in how far I have ran since lockdown (COVID19 induced)
overview_individual_runs(my_runs,
                  plot = "cumulative_dist",
                date_from = as.Date("2020-03-18"))

# I can now clearly visualise how far I have run but what are the exact distances of those individual runs?
overview_individual_runs(my_runs,
                 plot = "dist_time",
                 date_from = as.Date("2020-03-18"),
                 target_time = "7:18")

#there is a minor trend for runs to increase in distance particularly since moving to Manchester.
#early on during lockdown I ran a lot of the same run you'll notice - around 2.5m miles

#we can separate by location to look at the distance of the runs

overview_individual_runs(my_runs,
                plot = "distance",
                 date_from = as.Date("2020-03-18"))

#there is a great degree of variation amongst the manchester runs - for some reason salford and manchester are separated here

#what about pace? How fast have I been running? Compare this to my per mile half marathon time
overview_individual_runs(my_runs,
                 plot = "pace",
                date_from = as.Date("2020-03-18"),
                 target_time = "7:18")

#You'll notice that on my longer runs I am way behind my half marathon pace - oh dear!
#There are a bunch of short distance runs in which I'm considerably under.

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

#we can also separate according to distance grouping to monitor our face. Seemingly there are a bunch of short distance, but slow runs between 1 and 2 miles.
#lots of variation in the 3-4 mile range
overview_individual_runs(my_runs,
                 plot = "pace_per_dist.gp",
                 date_from = as.Date("2020-03-18"),
                 target_time = "7:18")

#what about calories? how many calories am I burning in these runs?
overview_individual_runs(my_runs,
                 plot = "dist_cals",
                 date_from = as.Date("2020-03-18"))


#very strong relationship between calories and distance run - strange wobble at the bottom  may be related to pace!
#what about heart rate?
overview_individual_runs(my_runs,
                 plot = "heart.rate_dist.gp",
                 date_from = as.Date("2020-03-18"))

# you'll notice in the longer runs that the average heart rate for each run is above the median value of average heart rates across all runs.

#What about cadence?
overview_individual_runs(my_runs,
                plot = "cadence_dist.gp",
                date_from = as.Date("2020-03-18"))

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