similar to: Is there any R function for data normalization?

Hi, I downloaded a dataset from UCI repositories named Bag of Words: http://archive.ics.uci.edu/ml/machine-learning-databases/bag-of-words/readme.txt The dataset is in a text file with the following structure: --- docID1 wordID1 count docID1 wordID2 count docID1 wordID3 count docID1 wordID4 count ... docID2 wordID2 count docID2 wordID5 count docID2 wordID6 count --- Where docIDx is an integer

Hello, This is very basic and very frustrating. Suppose this: >A=5 >B=5 >C=10 > ls() "A" "B" "C" I would like this >xpto() 5 5 10 How can I do xpto()? Thanks Rui [[alternative HTML version deleted]]

Hello, I am trying to run a small example with foreach, but I am having some problems. Here is the code: *library(doMC) registerDoMC() zappa = list() frank = list() foreach (i = 1:4) %dopar% { zappa[[i]] = kmeans (iris[-5],4) frank[[i]] = warnings() }* The code runs without error. However the zappa and frank will be empty lists. If I use regular *for *instead, the list will be filled up

Hi. I am trying to modify kmeans function. It seems that is failing something obvious with the workspace. I am a newbie and here is my code: myk = function (x, centers, iter.max = 10, nstart = 1, algorithm = c("Hartigan-Wong", + "Lloyd", "Forgy", "MacQueen")) + { + do_one <- function(nmeth) { + Z <- switch(nmeth, { + Z

Hello, I need a Fuzzy C Means algorithm. I found some documentation about cmeans {e1071} at http://rss.acs.unt.edu/Rdoc/library/e1071/html/cmeans.html Does someone knows where I can find it? Thank you Rui [[alternative HTML version deleted]]

Hi, This question seems very basic but I cannot find an answer on google. I have a R session on a linux command line. I called a function that is taking ages. I want to cancel the function but without killing the R session. What is the shortcut? Thanks, Rui [[alternative HTML version deleted]]

Hello. I have this matrix: cy [,1] [,2] [,3] [,4] [,5] [,6] [1,] 1.0000000 1.0000000 -0.5164570 -0.5164087 -0.4004139 -0.4003719 [2,] 1.0000000 1.0000000 -0.5164570 -0.5164087 -0.4004139 -0.4003719 [3,] -0.5164570 -0.5164570 1.0000000 1.0000000 -0.1186691 -0.1186972 [4,] -0.5164087 -0.5164087 1.0000000 1.0000000 -0.1186995 -0.1187276 [5,]

Dear list, What on earth is spec.pgram() normalized too? If you would like to skip my proof as to why it's not normed too the mean squared or sum squared amplitude of the discrete function a[], feel free too skip the rest of the message. If it is, but you know why it's not exact in spec.pgram() when it should be, skip the rest of this message. The issue I refer herein refers only too a

Dear R-helpers, I have two data frames, op and em4: > str(op) 'data.frame': 37 obs. of 5 variables: $ m : num 0.202 0.336 0.122 0.139 0.14 ... $ lln : num 0.798 0.643 0.863 0.835 0.823 ... $ rrn : num 0.789 0.702 0.894 0.895 0.923 ... $ asym2: num 0.177 0.304 0.108 0.187 0.274 ... $ asym3: num 0.0755 0.0975 0.0818 0.0651 0.13 ... > str(rownames(op)) chr

Hi All, I was going through http://en.wikipedia.org/wiki/Normalized_loop and some other documents on Normalized Loops. LLVM currently doesn't seem to normalize the loop as mentioned in the link (i.e. to start with 0 and have a unit step). I wrote a pass to convert a loop into normalized form as in the link (i.e. to have start value of 0 and step of 1 whenever possible) but I'm not sure

Hi all, i was using bdrb a while ago and it wasn''t stable enough in version 0.2.1 for doing the job - it loss jobs or did execute only the first one invoked and so on. Now i gave the new version a try and i found a bug at playing around. When i start a worker_method over the normal Unix scheduler bdrb will start as much as possible the worker_method after the :end-time is reached.

Hello, I am using cygwin (latest version) and I managed to generate a dll partly with rcmd shlib although there was a problem with both the resouce file (I had to remove "FILEOS VOS__WINDOWS32") and the command line for gcc (--shared is not supported for instance). So I would like to know which compiler/environment you advise to use for windows OS. Then I could load the library in R

Hi dear R-users I try to reproduce the steps included in a LDA. Concerning the eigenvectors there is a difference to SPSS. In my textbook (Bortz) it says, that the matrix with the eigenvectors V usually are not normalized to the length of 1, but in the way that the following holds (SPSS does the same thing): t(Vstar)%*%Derror%*%Vstar = I where Vstar are the normalized eigenvectors. Derror

Dear all. I am searching for KMeans ++ for R. I cannot find it. Do you know any package with it? Best regards, Rui

Hi how do we get intercepts standard error. I'm using the package pls. i got the coefficient but not able to get the stabdard error -- View this message in context: http://r.789695.n4.nabble.com/How-to-get-intecerpt-standard-error-in-PLS-tp3932104p3932104.html Sent from the R help mailing list archive at Nabble.com.

Michael, In lld, we have places that used nested a ErrorOr<std::unique_ptr<xx>> and I often hit compiler errors that require breaking up expressions to work around. Do you have suggestions on how to code the following simple examples to not error? Can some of these be fixed in ErrorOr.h? Or am I totally not getting something? -Nick struct Foo { void doit(); };

I have a dataframe such like the following: ID TIME DV 1 0 0.880146038 1 1 0.88669051 1 3 0.610784702 1 5 0.756046666 2 0 0.456263368 2 1 0.369991537 2 3 0.508798346 2 5 0.441037014 3 0 0.854905349 3 1 0.960457553 3 3 0.609434409 3 5 0.655006334 . . . . . . I would like to generate another column with the normalized values of DV. for each ID, normalize to the value at TIME 0. I was able to

>myDF = data.frame(id=c("A10","A20"),d1=c(.3,.3),d2=c(.4,.4),d3=c(-.2,.5),d4=c(-.3,.6),d5=c(.5,-.2),d6=c(.6,-.4),d7=c(-.9,-.5),d8=c(-.8,-.6)) >doit=function(x)c(x[1],sum_LK_positive=sum(x[-1][x[-1]>0]),sum_LK_negative=sum(x[-1][x[-1]<0])) > myDF id d1 d2 d3 d4 d5 d6 d7 d8 1 A10 0.3 0.4 -0.2 -0.3 0.5 0.6 -0.9 -0.8 2 A20 0.3 0.4 0.5 0.6 -0.2

Although I owe thanks to Ramus and Ivan, I still do not know how to write and "advanced" function. My most recent try (after looking at the material Ramus and Ivan set) still does not work. I am trying to run the lm function on two different formulae: 1) y~x, 2) y~x+z Any corrections would be appreciated! Thank you, John doit <- function(x){ ds <- deparse(substitute(x))

Dear All, I'm a Marine Biologist using R (in a most informal and applied way) for a couple of years. Actually, I've been using R to analyse the results supporting my thesis. I would like to put together (in the same file) the data (.txt files) and the scripts files (.R files) for each chapter. How can I do this? Thanks in advance, Eduardo Esteves [[alternative HTML version deleted]]