similar to: Questions on formula in princomp

Hi all: I am trying to do PCA on the following matrix. N1 N2 A1 A2 B1 B2 gene_a 90 110 190 210 290 310 gene_b 190 210 390 410 590 610 gene_c 90 110 110 90 120 80 gene_d 200 100 400 90 600 200 >dataf<-read.table("matrix") >

dear group, i have a data matrix with some replicate items with different values. I want to extract the row with max value. for example: > x fruit weight 1 apple 1.3 2 apple 1.5 3 apple 1.6 4 orange 1.4 5 orange 1.6 x is a data frame. I want to extract unique items from fruits that has max weight. that is: 3 apple 1.6 5 orange 1.6 I want to be able to use

hello: I have 3 data.frame objects. First df object: Of dim (149,31). Columns 2:31 are marked as T1..T14 and N1..N16. Name T1 T2 N1 T3 N2 N3 N4 T4 mu1 10 10 9 10 9 9 8 10 mu2 11 11 9 11 9 9 9 11 ... muN 12 12 9 11 9 9 8 12 Second df object: of Dim (50000,31). Columns 2:31 are maked as T1...T14 and N1..N16.

hi: I have matrix with dimensions(200 X 20,000). I have another file, a tab-delim file where first column variables are row names and second column variables are column names. For instance: > tmat Apple Orange Mango Grape Star A 0 0 0 0 0 O 0 0 0 0 0 M 0 0 0 0 0 G 0 0 0 0 0 S 0 0 0 0 0

Hi: Apologies for asking the following question. As?this may sound very basic and stupid for this forum?, I honestly do not know how to solve it and I do not have a teacher who can help me understand. ? I have list of genes (200)?that are involved in a particular process and I call this as a?ProcSet.?? From an independent experiment I found that out of 10,000 genes, 1500 are significant and I

I'm trying to export a large data frame to a text file for permanent storage. The only thing I could find was the treeglia Package but that didn't work. Any suggestions? Thanks! Christina D Smith PhD Student, GRA Statistics Department Kansas State University

hello: I am very confused when it comes to list operations in R. I seek help in the following problem. I have two different vectors myIDs - a character vector with no names to their elements x2 - another character vector derived from unlisting a list where an element has both a name and value. I am not happy the way x2 is with names and values to every element. > myIDs[1:10] [1]

Dear Group, I have a data frame like the following: x <- c("Mike","A",0.01) x1 <- c("Carl","A",0.2) x2 <- c("Gene","C",0.3) x3 <- c("James","A",-0.3) x4 <- c("Dough","B",0) xx <- rbind(x,x1,x2,x3,x4) colnames(xx)<-c("Name","Class","NES") xx

Hello Group, What is the meaning of the error. is there any place to look for this. I guess 'atomic' seems to be OOP related concept. thank you srini

It might be a bit faster to do matrix indexing: R> tbm <- as.matrix(tb) # turn it into a character matrix R> tmat[cbind(match(tbm[,2], rownames(tmat)), match(tbm[,1], colnames(tmat)))] <- 1 > tmat Apple Orange Mango Grape Star A 1 1 1 0 0 O 1 1 0 0 0 M 0 0 1 0 0 G 0 0 0 0 0 S 1 1 1 0

I have not had a great amount of success installing/updating packages from the "Packages" menu of Rgui under Windows XL. (Except for installing from loacal zip files.) But I am not asking for help in using these facilities because I prefer to keep a folder of package zip files. On the other hand I do find it tedious having to right-click "Save link as" on every individual

Hi, my name is Paula. Im trying to learn how to build an R package in Windows XP using a simple example which includes a C source code. The foo.c file is located in mypkg/src/foo.c. I used the command Rcmd build --force --binary [pkgpath]. The problem is when I install the zip file in R the function foo doesn?t exist. The result a recieved during the building process is copied below. I really

Dear R-helpers, Lists in R are stumbling block for me. I kindly ask you to help me able to write a data-frame. I have a list of lists. > sls[1:2] $Andromeda_maya1 x y [1,] 369 103 [2,] 382 265 [3,] 317 471 [4,] 169 465 [5,] 577 333 $Andromeda_maya2 x y [1,] 173 507 [2,] 540 395 [3,] 268 143 [4,] 346 175 [5,] 489 91 I want to be able to write a data.frame like

hi I need help with list object. I have a list object > a <- c('apple','orange','grape') > b <- c('car','truck','jeep') > c <- list(a,b) > names(c) <- c('fruit','vehicle') > c $fruit [1] "apple" "orange" "grape" $vehicle [1] "car" "truck"

Dear group, I have a data.frame (d1) with various elements and a matrix (m1) created with NA (or 1s). I want to read each row,column in d1 and fill its numeric value in m1. Could some one help me because I have 130K rows and 500 column data.frame object and I was told that a for loop will take a long time. Thank you. > r1 <- c("A","A","B","B")

Full_Name: Jerome Asselin Version: 1.7.1 OS: Red Hat Linux 7.2 Submission from: (NULL) (24.77.125.119) Setting the parameter na.action=na.omit should remove incomplete records in princomp. However this does not seem to work as expected. See example below. Sincerely, Jerome Asselin data(USArrests) princomp(USArrests, cor = TRUE) #THIS WORKS USArrests[1,3] <- NA princomp(USArrests, cor =

Peter, As I understand your Q. You probably have data that is similar to each other like stock Prices for all RHS variable. In that case the difference between corr and cov is not significant; however, if your RHS contains totally dissimilar variables it matters a great deal. If x1 income, x2 job type, x3 Education level, etc..., then taking cov of these variables would not be desireable

Some webpage has described prcomp and princomp, but I am still not quite sure what the major difference between them is. Can they be used interchangeably? In help, it says 'princomp' only handles so-called R-mode PCA, that is feature extraction of variables. If a data matrix is supplied (possibly via a formula) it is required that there are at least as many units as

Hello! I am running principle components analysis using princomp function in pacakge psych. mypc <- princomp(mydataforpc, cor=TRUE) Question: I'd like to use pairwise deletion of missing cases when correlations are calculated. I.e., I'd like to have a correlation between any 2 variables to be based on all cases that have valid values on both variables. What should my na.action be in

R version: 1.7.1 OS: Red Hat Linux 7.2 When "covmat" is supplied in princomp(), the output value "center" is all NA's, even though the input matrix was indeed centered. I haven't read anything about this in the help file for princomp(). See code below for an example: pc2$center is all NA's. Jerome Asselin x <- rnorm(6) y <- rnorm(6) X <- cbind(x,y)