On 23.06.2014 19:28, daniel_st...@operamail.com wrote:
I am a bit late for this discussion but hope that I might still get an
answer. I tried to follow your advice and had a look at "drawparti" but
could not find the relevant section about how to plot specific pairs of
variables
I am trying to plot only a few combinations a few several combinations
but always received an error message: For example here I tried to plot
variable 2 with all other variables (=3 to 10). [,1] is my grouping
variable.
drawparti(mydata[,1] ~ mydata[,2], mydata[,3:10], data = mydata,
method = "rda", gamma=0,lamda=1)
Error in rda.formula(grouping ~ x + y, data = cbind.data.frame(grouping
= grouping, :
formal argument "data" matched by multiple actual arguments
As I said a year ago, partimat is the worker for drawparti and hence
does not have the most convenient interface, hence you want soemthig like:
What you want is something like:
par(mfrow = c(4,2))
for(i in 3:10)
drawparti(mydata[,1], mydata[,2], mydata[,i], method = "rda",
gamma=0, lamda=1)
Best,
Uwe Ligges
Best wishes, Daniel
>
On Friday, March 29, 2013 3:13:58 PM UTC, Uwe Ligges wrote:
On 29.03.2013 15:59, Antelmo Aguilar wrote:
> Hello David,
>
> Thank you for letting me know that the partimat() function calls
that function. I am kind of knew to R so I do not know exactly how
to describe the structure. If I understand correctly, what I
essentially need to do is pass in all the different data sets into
one partimat() function and then the partimat() function will create
the different plots and the way the different data sets get passed
in is by describing a structure of the different data and passing it
into the partimat() function. Is my thinking correct? Would it also
be possible if I could be directed to a website that shows me how to
describe a data structure or if someone could be so generous as to
tell me how to do this? I would greatly appreciate it and thank you
for the help.
partimat is intended to plot several plots for each combination of
explanatory variables in a classification problem.
If you want to generate such plots separately and/or combine them in
another way, see the help page. It says "See Also: for much more fine
tuning see drawparti". The latter function allows to generate a single
plot that can again be arranged within others by the user.
Best,
Uwe Ligges
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
