similar to: problems with assigning classes

Full_Name: Heather Turner Version: 2.0.0 OS: Windows NT Submission from: (NULL) (137.205.8.2) I tried using the Packages menu to install the gam package and get the following output: > local({a <- CRAN.packages() + install.packages(select.list(a[,1],,TRUE), .libPaths()[1], available=a, dependencies=TRUE)}) trying URL `http://cran.r-project.org/bin/windows/contrib/2.0/PACKAGES' Content

I didn't load the package. I wasn't able to do that, since I wasn't successfull to install it in first place with install.packages. -----Original Message----- From: Uwe Ligges [mailto:ligges@statistik.uni-dortmund.de] Sent: pon 2005-03-14 15:34 To: Gorjanc Gregor Cc: r-devel@stat.math.ethz.ch Subject: Re: [Rd] Package Installation in RGui (PR#7262) Under Windows, you cannot update /

Hi, all: Now I'm working on writing a backend for Moto MCore, but I don't know how to describe some instructions. First, I've already written MCoreRegisterInfo.td like these: class MCoreReg<bits<4> num, string name> : Register<name> { let Namespace = "MCore"; field bits<4> Num = num; } def R0 : MCoreReg< 0, "R0">,

The parts of klibc specific to the alpha architecture. Signed-off-by: H. Peter Anvin <hpa at zytor.com> --- commit 5e5ce29210ac33a0b3704eb9ab5e5d5b55375575 tree 2ec24df596e13c21b68da4d905f546770d36fdad parent 8529b52550ba78984998d3a9cc9deb467217fa3e author H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun 2006 16:58:14 -0700 committer H. Peter Anvin <hpa at zytor.com> Sun, 25 Jun

Hello! This is Kernel 2.4.6-ac1 with ext3-0.8.0 compiled with cvs-gcc version 3.1 20010616 on alpha ev4. I have prepared one ext3 filesystem to play with. When my rc-scripts call mount -a during boot I receive this: Jul 6 22:01:30 Marvin kernel: Bad unaligned kernel access at fffffc0000883f54: fffffc00063f2e6e 2a 2 and the mount of this filesystem fails. A subsequent manual second try to

Hi, What does this mean when I have something like: > qda.boot <- boot(train, qda.bootstrap, R = 500) Error in qda.default(structure(data.matrix(x), class = "matrix"), ...) : Rank deficiency in group M with my qda.bootstrap() looks something like: > qda.bootstrap <- function(data, index) { + boot.qda <- qda(x = data[index, 2:9], group = data[index, 1]) + qda.pred

z <- qda(train, cl) save(z, file = "qda.dat") load("qda.dat") predict(qda.dat, test)$class I'm trying to save z where z <-qda(train, cl) and load z for later use in predict(z, test)$class. I think I successfully saved z by save(z, file = "qda.dat") but when I tried to load by load("qda.dat") and call predict(qda.dat, test)$class, it gives me error

I guess the question that is being asked here is what is the scaling matrix that is being returned in the qda object. The help file on qda() says: ... scaling: for each group ?i?, ?scaling[,,i]? is an array which transforms observations so that within-groups covariance matrix is spherical. ... This is a bit ambiguous. I tried a few cases (spectral, QR decomposition, especially given that it is an

You need to learn how to access code for nonexported methods. See ? "::" > methods(qda) [1] qda.data.frame* qda.default* qda.formula* qda.matrix* see '?methods' for accessing help and source code Shows you that the methods are not exported from the namespace. Hence you need to use the triple colon operator to see their code: > MASS:::qda Once you have the code, I

Dear R user, I'm using qda (quadratic discriminant analysis) function (package MASS) to classify 58 explanatory variables (numeric type with different ranges) using a grouping variable (factor 2 levels "0" "1"). I'm using the qda method for class 'data.frame' (in this way I don't need to specify a formula). Using the function:

Good evening to all. I find myself trying to create some Thiessen Polygons, in order to finish a meteorology research. This is the script I found to create the Polygons: * * *voronoipolygons <- function(x) {* * require(deldir)* * if (.hasSlot(x, 'coords')) {* * crds <- x@coords * * } else crds <- x* * z <- deldir(crds[,1], crds[,2])* * w <- tile.list(z)* * polys

Hi I'm running QDA on some data and calculating the discriminant function. qda.res <- qda(type ~ npreg + glu + bp + skin + bmi + ped + age) ind_yes <- c(1:N)[type == "Yes"] > ind_no <- c(1:N)[type == "No"] > cov_yes <- cov(table[ind_yes, 1:7] ) > cov_no <- cov(table[ind_no, 1:7] ) > covar<-list(cov_no, cov_yes) qdf<- function(x,

Dear list, (I've not upgraded to R1.4 yet) I have the following $class component in a predict.qda object: > unique(mod23S.qda.pred$class) [1] 12 17 8 10 4 9 5 13 14 19 20 15 6 3 7 1 23 11 18 21 16 2 22 NA Levels: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Nevertheless, when I try to identify the individual(s) with NA, I get: >

Hi, the following strange error appears when I use qda: > qda1 <- qda(as.data.frame(mfilters[cvtrain,]),as.factor(traingroups)) Error: function is not a closure That's also strange: > qda1 <- qda(mfilters[cvtrain,],as.factor(traingroups)) Error in qda.default(mfilters[cvtrain, ], as.factor(traingroups)) : length of dimnames must match that of dims Some backgroud: >

Dear wxruby users I''ve been trying to get wxruby-based weft-qda 0.9.6 running on a linux from scratch 6.1 system (this list had a discussion about weft-qda last year and alex fenton''s also been trying to help me out - no luck so far). I get stuck with wxruby 0.60 (I think). I compiled wxruby against wxGTK 2.4.2 (without gtk2, without unicode - gtk+ version is 1.2.10) - after

On Aug 28, 2007, at 6:15 PM, Scott Michel wrote: > On Aug 28, 2007, at 7:02 AM, Dan Gohman wrote: > >> On Mon, Aug 27, 2007 at 07:26:55PM -0700, Scott Michel wrote: >>> It looks like I need to be able to intercept GEP lowering (in >>> SelectionDAGLowering::visitGetElementPtr) and insert something else >>> other than the shifts and adds. The basic problem is

Hello, I am Souradeep Chattopadhyay and I am a graduate student at Iowa State University Department of Statistics. Can anyone please explain the mathematical formulation behind the scaling matrix returned by the qda function in MASS package. I want to understand how this scaling matrix is derived from the inputs given to the qda function. Example Code The following example is using

Dear R Help Members, I am aware how to plot the LD1 vs LD2 from a lda in R, using the code: plot(baseline.systat.hat$x, col=baseline.systat.hat$class,pch=as.numeric(baseline.systat.hat$class)) However, I need to use the quadratic discriminant function, qda due to data properties. Is there a way to obtain the same sort of plot for from a qda object (and the output of predict qda). I have not

On Aug 28, 2007, at 7:02 AM, Dan Gohman wrote: > On Mon, Aug 27, 2007 at 07:26:55PM -0700, Scott Michel wrote: >> It looks like I need to be able to intercept GEP lowering (in >> SelectionDAGLowering::visitGetElementPtr) and insert something else >> other than the shifts and adds. The basic problem is that CellSPU >> loads and stores on 16-byte boundaries. Consequently,

can you run weft qda on mac with virtual PC? (this is how nvivo and some others work for the mac). us poor mac users...but i commend the open source effort! best, Lisa Lisa Schwartz Language Reading and Culture University of Arizona ____________________________________________________________________________________ Be a better friend, newshound, and know-it-all with Yahoo! Mobile.