[RkWard-devel] [rkward - Help] RE: rkward-0.4.0, gentoo some problems
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Sun Oct 22 18:14:11 UTC 2006
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By: tfry
RKWard does not use Qt4 at all, yet. We wait until KDE 4 comes out (may be another
while), and after that, we'll probably also need some time to port rkward. The
message about KDE4/Qt4 in the ChangeLog merely concerns changes that will make
this last step - porting to KDE 4 once released - easier. Qt 3 is correct.
I've changed the developlment version to start the window maximized on the very
first startup.
About Import->Load Data: This should now be fixed in the development version
as well. As temporary workarounds, either
a) use smaller fonts, this should not happen then
b) just use the default setting for now (it's "rk.temp.table"). You can change
the name later by clicking on "Workspace" on the left->right click the
object->Rename
Sorry about the inconvenience, and thanks for reporting this important issue.
We do hope RKWard will assist you in finding your way around R, but we must
also admit, that RKWard only offers easy dialogs for very little of the high
level functionality you are looking for. Particularily, there is no GUI interface
to ohlcPlot () in RKWard, yet. So, while we hope to make learning R a bit easier
to you, you'll still have to learn some R before you can achieve what you're
trying to do.
Some notes on your task:
a) load data into R: You already figured out, how to do this
b) ohlcPlot ():
1) First (install and) load the package fMultivar. Settings->Configure Packages
can help you with that.
2) Once fMultivar is installed, you can invoke function help by using the "Help
search" window, or by right clicking on the function in package fMultivar (in
the "Workspace" browser).
3) ohlcPlot () appears to require a precise format of data. Assuming the table
with your data is called my.data:
# ts <- as.ts (data.frame (Open=my.data$Open, High=my.data$High, Low=my.data$Low,
Close=my.data$Close))
(First create a new temporary table with only the columns Open, High, Low, Close,
then convert it into a time-series, then assign it to a new object "ts")
4) For a first plot, you'll ignore most parameters, and just use:
ohlcPlot (ts)
But, in fact, as you have been referred to, "An introduction to R" is definitely
recommended reading. If you have R HTML help installed, this is available via
Help->Help on R, in RKWard.
You can watch some of what RKWard is doing in the "Command Log", but RKWard
simply does not know how to do advanced things like an ohlcPlot, yet.
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