If I calculate factor scores with princomp() I don't get the same factor
scores using eigen() method.
fctscr1 <- princomp(USArrests, cor=T)$scores
fctscr2 <- scale(as.matrix(USArrests)) %*% eigen(cor(USArrests))$vectors
identical(fctscr1,fctscr2) # results in FALSE
The values are close but
I'm trying to create an R script that will execute the HMAC algorithm for
key-hashing messages. My hope is to use this script for some web
authentication via R.
The algorithm is found at http://www.ietf.org/rfc/rfc2104.txt
Here is some example code that I have done that does not work for HMAC-MD
On Fri, Apr 9, 2010 at 2:15 PM, Liaw, Andy wrote:
> From: Larry D'Agostino
> >
> > So I've been working with Random Forests ( R library is
> > randomForest) and I
> > curious if Random Forests could be applied to classifying on
> > a real time
> >
So I've been working with Random Forests ( R library is randomForest) and I
curious if Random Forests could be applied to classifying on a real time
basis. For instance lets say I've scored fraud from a group of
transactions. If I want to score any new incoming transactions for fraud
could Random
If you are interested in joining the Dallas RUG please go to the following
link to show your interest and get things started.
http://tech.groups.yahoo.com/group/Dallas_RUG/
My first thought would to have some informal meet ups at some local
Dallas locations to discuss overall goals, ideas, wishes
I would like to know if there is anyone like me interested in an R User
Group in Dallas, TX. David Smith at REvolutions was kind enough to help
getting it started.
My first thought would to have some informal meet ups at some local Dallas
locations to discuss overall goals, ideas, wishes of the R
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