plotCompareSplit: plotCompareSplits

In theasjblog/tcx_package: tcx file analyzer

Description

Function to plot activity metrics comparison between splits

Usage

plotCompareSplit(
  data,
  doFacet = TRUE,
  type = c("raw", "norm", "perc")[1],
  xVariable = "Time",
  showMe = NULL,
  ftp = NULL,
  ftpType = c("power", "pace", "HR")[1]
)

Arguments

data	(list) the list of dataframes for the activity splits
doFacet	(logical) TRUE to plot variables separetly, FALSE to plot them overlayed
type	(character) One of "raw", "norm" or "perc" to plot differently normalised valued. 'raw' is the raw data 'norm' is the data normalised in the rage 0 to 100 'perc' is the variation in percentage from the mean value of all the intervals If using 'raw' or 'perc' it is suggested to set doFacet = TRUE
xVariable	(character) the variable to put on the x axis. One of 'DistanceMeters' or 'Time'
showMe	(character) The metrics to include in the plot. Must be the same name as the column in the dataframe.
ftp	(numeric) Functional threshold power if bike workout, pace [min/km] if run, functional threshold if using HR
ftpType	(character) One os 'power', 'pace' or 'HR', to describe what kind of FTP was provided

Details

The function plots the variation of every metric over interval index, It is useful to see if all interval were performed at the desired target intensity

Value

A ggplot object

Examples

gpx <- intervalActivity
sp <- autoSplits(gpx)
plotCompareSplit(sp, doFacet=TRUE, type = "raw")
plotCompareSplit(sp, doFacet=TRUE, type = "norm")
plotCompareSplit(sp, doFacet=FALSE, type = "norm")
plotCompareSplit(sp, doFacet=TRUE, type = "perc")

theasjblog/tcx_package documentation built on March 13, 2021, 2:24 a.m.