.. you can pass all=TRUE|FALSE to GC.metrics if you want to
override the date range selection
.. also added connect to daterange select so a trend chart
will refresh when you select a date range
.. set a script to run when an activity is selected
.. this allows a plot to be generated and displayed when
you select a ride in analysis view
.. the script is stored with the chart settings
.. mostly startup issues when R_HOME is not known
.. need to think carefully about how we get the user to
register the R home. We could let them select the R
binary so we can run `R RHOME` and apply that (?)
.. we no longer need RInside or Rcpp as we use
100% R API calls to embed
.. the following need to be resolved:
1. R_HOME / Options *must* be set to startup
embedded R but we don't check / restart or
default via system("R HOME")
2. Output is not trapped - all output is sent
directly to the console you started GC on
.. will fixup the 2 above before finally:
3. Build for Windows using MSVC !
.. reimplemented with native R API
.. switched to .Call in R function since .C means all functions
return void and must return by a pass by reference parameter.
.. not complete, but we now have a canvas (QGraphicsView)
to plot the R output without needing to use x11() or
quartz(), window() etc.
.. the primitives do not honour the graphic engine context so
all lines etc are white on black.
.. will fix and improve in followup commits, need to test
with QT4.8 and cross-platform.
.. since the R runtime is shared by charts we offer the ability
to prefix variables with $$ to ensure they don't conflict
across multiple RCharts.
.. $$d <- GC.activity() would actually be parsed within R as
gc0d <- GC.activity(). The next chart would get gc1 and so
on.
.. it is optional, so charts could share data structures (but
wonder why you might do that)
.. we still need to encapsulate the code to plot within a
script to ensure it is refreshed when the chart is selected
or underlying data changes.
.. don't crash when cannot initialise (e.g. when RInside not
available or R is not installed)
.. handle messaging via signals to trap 'late' messages from
the R Runtime
.. refactoring code to introduce an RTool for working
with RInside and Rcpp and move code away from main.cpp
.. get ready to write all the data accessors in a way
that supports multiple athlete windows.
.. now have a console in the RChart to issue R commands.
Its very basic and doesn't handle multi-line commands
well nor support up/down to cursor through history.
.. added a "GC" object with 3 variables
GC.version - a version string
GC.build - build id, later always higher
GC.home - root of all athlete directories
.. No access yet to athlete, metrics, models and rides.
This will come very shortly; need to decide on best
way to handle accessing different athletes within
a single global context.
