search for: tranposed

Dear R-Users, Suppose I have data in the following format: CODE_NAME ZIP_CODE John 12345 John 23456 John 34567 Jane 13242 Jane 22123 I want to transpose / convert it into: CODE_NAME ZIP_CODE John 12345,23456,34567 Jane 13242,22123 Any idea/pointer is appreciated.

Hi, I need to transpose and aggregate the 4th and 5th column of this data set (below). The period is 1 to 100 years and some period has 1 entry as shown in the example below. Any ideas how to do this. Thanks in advance. Noli ~~~~~~~~~~ From: P_ID CROP Period Ini_Age Area_Cut 83 SORI 1 31 528.2465512 84 SORI 1 32 74.55179899 85 SORI 1 33

ABCD are four matrix. A * Inverse((Transpose(A)*Tranpose(B)*B*A+C)) * Transpose(A) * Transpose(B) * D how to write in R in an efficient way? --------------------------------- [[alternative HTML version deleted]]

Hi, Any help on this would be appreciated: I need to integrate where K is a 4x4 matrix, and SIGMA is a 4x4 matrix from say a to b, i.e. 0 to 5: integral MatrixExp(-K * s) %*% SIGMA %*% t(SIGMA) %*% MatrixExp(t(-K) s) ds t is tranpose , %*% : matrix mult , MatrixExp : matrix exponential I've use integrate before on univariate functions like f(x) = x^2 which is fine but when doing this on

...sue" is not needed. I use the following syntax to perform this task: tdata<- reshape(data, varying=names(data)[-c(1,2)],direction="long", timevar ="label",v.names="value",time=names(data)[-c(1,2)]); however, i lose the column "gene" in the resulting tranposed dataset. I did my best to go through the help doc for reshape. however, I am frustrated that the examples used in the help doc is kind o hard to follow to me. Can anyone help me modify the code to keep the column "gene" in the resulting table? Any constructive suggestion is welcome. th...

Hi guys, I need your help. I would like to select a subset from a dataset. This is the dimension of the dataset. > dim(data1) [1] 72 36 1916 so, it's like.. there are 1916 of 72 * 36 matrix. ==> looks like 72 * ( 36*1916 ) ** *1)* And I would like to select the first 72*36 matrix. This is how I did: > two=data1[,1:36] Error in data1[, 1:36] : incorrect number of dimensions

http://idisk.mac.com/jdeleeuw-Public/utilities/apl/apl.R Dedicated to the IBM 2741. Implemented for general multidimensional arrays: drop, take, reshape, shape, rank, select, generalized inner product, generalized outer product, representation, base value, join, expand, reduce, scan, member of, ravel, compress, tranpose, rotate Basically, the APL-I part is complete, and after some testing

Guys, I've downloaded AsteriskNOW few days ago so I'm new to this product. The first issue is on service provider area. I've already used a VoIP account already configured with my ISP, it works fine! This configuration has been used until now with the client SJphone, Now I would use this profile as main VoIP service provider to setup in AsteriskNOW. Here are the profile detail as

x <- read.table("LittleGarvin.csv", sep=",", header=TRUE) y <- t(x) str(y) chr [1:193, 1:288] "oligocha" "0" " 0" " 0" " 0" "0" ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:193] "X" "upwd1201" "upwd0502" "upwd0702" ... ..$ : NULL x is a data frame with

I have an array with 44800 columns and 24 rows I would like to compute the row average for the array 100 columns at a time, so I would like to end up with an array of 24 rows x 448 columns. I have tried using apply(dataset, 1, function(x) mean(x[])), but I am not sure how to get it to take the average 100 columns at a time. Any ideas would be welcomed. thanks, Spencer [[alternative HTML

I have been looking at some 'table' examples in Peter Dalgaard's ISwR book, and I am confused by how to get right justification of my table headings when I use the tables() command. Compare the following: # Produces right justfified column names caff.marital=matrix(c(652,1537,598,242,36,46,38,21,218,327,106,67),nrow=3,byrow=T)