- #Goldencheetah rpm how to#
- #Goldencheetah rpm update#
- #Goldencheetah rpm code#
- #Goldencheetah rpm series#
$ torque : num NA NA NA NA NA NA NA NA NA NA. $ heart.rated : num NA NA NA NA NA NA NA NA NA NA. $ heart.rate : num NA NA NA NA NA NA NA NA NA NA. The ame returned looks like this when using the 'str' command: R Console (3.3.0) The column names have been selected to remain compatible with the trackeR package from UCL for analysing GPS based sports data. GC.activity(activity=0, compare=FALSE, split=0, join="repeat")īy default (compare=FALSE) it will return a ame representing the data for the currently selected ride. You can pass multiple filters as a string vector. The filter parameter will be applied as a datafilter to limit the results, enabling you to select specific types of rides. They can be used to draw charts like this, which shows power in zones over time: $$activity d str(d) These two properties return lists zoneslow contains the lower ends of the powerzones and zonescolor the appropriate color hex value. GC.athlete.zones(date=date, sport="bike")$ zonescolor GC.athlete.zones(date=date, sport="bike")$ zoneslow Note: introduced for sport "bike" and "run" in v3.5 of GoldenCheetah > GC.athlete.zones(date=date, sport="bike") > GC.athlete.zones()ĭate sport cp wprime pmax ftp lthr rhr hrmax cvĪnd here we get the CP value for the currently selected activity, along the way looking at the values we are using e.g: > date date You can specify a date you want to get configuration for, or limit to zone config for a specific sport.
The pace, heartrate and power settings are folded together by sport. Will return a dataframe of the zone configuration by sport in chronological order. "/Users/markliversedge/Athletes/Mark Liversedge" GC.athlete() will return a list of athlete details including name, home directory, gender, height, weight and date of birth. NOTE: the page size is reset to 500x500 on 3.4, but the window size in all later releases before every script run, so be sure to set it specifically in each plot.Į.g.
#Goldencheetah rpm how to#
The command always returns 0.įrom v3.5 it is now possible to get the window dimensions (perhaps to decide how to layout the output), the function GC.size() will return a vector with 2 values for width then height. If you change page size mid-plot you will likely have issues. Be sure to set he page size before any plotting takes place.
#Goldencheetah rpm series#
We typically use 500x500, 800圆00 and 900圆00 for scatter, histogram and time series plots. 2500x1200) then be sure to have a large screen, since when scaled it will make the fonts very small indeed. You express the page size in 72 dpi pixels. If you want to change the page size used for plotting you can set it with GC.page(). If you are not familiar with the R device model then you should probably avoid using this function. If you are familiar with the R device model (dev.cur, dev.list, dev.set) and frequently switch between graphics devices then you can create a new GC graphics device (to plot within the chart) by using GC.display(). Here is an example to get a vector containing all power data across hilly rides, taking care not to repeat on re-run and ignore rides with no power: # Get one big activity
#Goldencheetah rpm code#
If part of your code prepares large volumes of data, but doesn't need to refresh once its been created then this technique will help speed up your scripts. When the chart is refreshed the user supplied R script is executed, and it should collect data and prepare a plot.Ī simple example to plot HR might be: ride if (!exists("$$p")) print("doesn't exist") Whilst in the activity view the chart is refreshed when an activity is selected or, again, if the compare pane for intervals is updated. In trend view the chart is refreshed when a date range or season is selected, or if the compare pane is updated. This 10 minute tutorial video introduces the R chart and setup and shows it in use.
#Goldencheetah rpm update#
Warning: Beware to update your PATH environment variable on Windows after an R version upgrade to avoid errors on R charts.
Since R is embedded the runtime must match the versions supported by each release of GoldenCheetah The chart can be added to the activity view and the trend view. The R chart is introduced with v3.4 of GoldenCheetah.
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