Try package CCA.
On Sat, Jul 12, 2014 at 11:13 PM, Monaly Mistry
wrote:
> Hi,
>
> I was wondering if it's possible in R to do a canonical correlation with
> only one dependent variable and several independent variables.
>
> I've tried using cc(X,Y) but I got an error message. In this case I had
The best GUI I know for such purposes is John Fox 's Rcmdr package. It was
built for undergraduate courses. Cheers, ChristophÂ
Von Samsung Mobile gesendet
Ursprüngliche Nachricht
Von: Louise Stevenson
Datum: 12.07.2014 22:47 (GMT+01:00)
An: r-help@r-project.org
Betreff
It is box.col= in prp().
fancyRpartPlot() in Rattle currently uses a fixed colour palette (something
I should change).
You could change it in a local copy of the fancyRpartPlot() code (see the
line defining pals in the function):
> fancyRpartPlot
I also give an example around page 33 of the Dec
Try:
> inspect(sort(crs$apriori, by="support"))
Graham Williams
http://togaware.com
On 27 June 2014 16:46, Abhinaba Roy wrote:
> Dear R-helpers,
>
> I have run a basket analysis in Rattle. I've used 'arules' package.
>
> > crs$apriori <- apriori(crs$transactions, parameter = list(support=0.10
Dear All,
Is there any package to perform linear and nonlinear causality test with
frequency bands. In the non linear causality the model can take any of the
specification which includes Semi-additive, P-general Taylor based,
ANN-based.
This is also done in Wavelet decomposition.
Please suggest
Dear Raghuraman and Monaly,
Why would one want to do canonical correlation with a single Y variable? The
canonical correlation is just the R^2 from the LS regression of Y on the Xs.
Best,
John
John Fox, Professor
McMaster University
Hamilton, On
A small correction: I should have said "R", not "R^2".
John
On Sun, 13 Jul 2014 10:14:23 -0400
"John Fox" wrote:
> Dear Raghuraman and Monaly,
>
> Why would one want to do canonical correlation with a single Y variable? The
> canonical correlation is just the R^2 from the LS regression of Y o
Dear John,
In my final model I have 10 independent variables that account for the
variation in my dependent variable, and I needed to visually demonstrate
this relationship. So I did a canonical correlation to get a linear
combination of independent variables that that predicts the variation in m
Dear Monaly,
What you described in simply the multiple LS regression of Y on the Xs, which
finds the linear combination of the Xs most correlated with Y. Canonical
correlation and regression are appropriate when there is more than one Y.
Best,
John
On Sun, 13 Jul 2014 15:39:15 +0100
Monaly M
I was downloading the latest version of R from the CMU mirror and got
the following message (also tried the MTU mirror and got the same).
Has anyone else seen this?
Filename: r-3.1.1-win.exe
Threat name: WS.Reputation.1
Full Path: c:\users\owner\downloads\r-3.1.1-win.exe
I am also getting a message on another computer that has Symantec
Endpoint Protection that the 3.1.1-win.exe has been removed because of
"WS.Reputation.1"; here is what their website says about the error
=
Updated:February 15, 2012 3:15:47 PMType:OtherRisk Impact:HighSystems
Affected:
Have seen it. Had to override Norton and tell it to ignore the threat. Been
awhile, don't off the top of my head remember how I did that.
---
Jeff NewmillerThe . . Go Live...
DCN:
Glad to see that I am not the only one seeing the error. I was
getting it on my other (company) computer that has Symantec and it
will not allow me to override and do the install. Guess I will check
again in a couple of days and see it it clears up. Will also check to
see if I can contact Norton
Jim,
You can file a Type I error on the file here:
https://submit.symantec.com/false_positive/
rather than waiting.
I had seen similar reports, not on R, but elsewhere with this particular
Symantec community based detection. I am not a user, but since it appears to be
a community based syst
Dear John,
Thank you very much for clearing this up.
Best,
Monaly.
On Sun, Jul 13, 2014 at 3:45 PM, John Fox wrote:
> Dear Monaly,
>
> What you described in simply the multiple LS regression of Y on the Xs,
> which finds the linear combination of the Xs most correlated with Y.
> Canonical co
Thx John.
My bad. I was just pointing out that canonical corrs can be done through
the CCA package.
Cheers
Raghu
On Sun, Jul 13, 2014 at 3:39 PM, Monaly Mistry
wrote:
> Dear John,
>
> In my final model I have 10 independent variables that account for the
> variation in my dependent variable,
Hi Miles,
If I read the paper correctly, zeta-squared is simply: (1+z^2) for z>=0, and
1/(1+z^2) for z<=0, where z is the z-score (Eqn. 11 in the paper). Z-scores can
be calculated in R using the scale(...) function. So this should produce a
zeta-squared transformation.
zeta.sq <- function(dat
I would like to visualize my data in a scatterplot3d
On my X and Y axis, I would like the same labels. Something like this:
x<-c("A", "B", "c", "D")
y<-c("A", "B", "c", "D")
on the Z axis, I would like to show the comparison between labels in X and Y
A with A
A with B
A with C
A with D
B
18 matches
Mail list logo
