similar to: longer object length is not a multiple of shorter object length

many languages have shorthands for that operation like: variable += 1 or ++variable is there something like that in R ? -- View this message in context: http://r.789695.n4.nabble.com/increase-or-decrease-variable-by-1-tp3076390p3076390.html Sent from the R help mailing list archive at Nabble.com.

x= c(1,5,7,-3,4) y= c(2,4,-5,2,5) plot(x,y,ylim=c(-20,20),xlim=c(min(x),max(x)),pch='X',col = rgb(0, 0, 0, 0.5),yaxt="n", ann=FALSE) and this code produces: http://i53.tinypic.com/ffd7d3.png Where I marked in red areas that I want to get rid of and use as much real screen estate as I can. -- View this message in context:

Hi folks, I'm following An Introduction to R http://cran.r-project.org/doc/manuals/R-intro.html#R-and-statistics to learn R. Coming to; 2.2 Vector arithmetic > v <- 2*x + y + 1 Warning message: In 2 * x + y : longer object length is not a multiple of shorter object length What does it mean? How to rectify it? Please help. TIA B.R. Stephen L

Hi, I've done some searching where others have had trouble with this error (or "warning" actually), but I'm unable to solve my problem. I have a data sheet with 13 columns and 36 rows. Each column has exactly the same number of rows. I've created glms and now want to do cross-validation on 2 of them. Please be gentle-- I'm new to R (and statistics, too, for that

Hi, I was using a density estimation function as follows: > est <- KernSmooth::bkde(x3, bandwidth=10) When setting bandwidth less than 5, I got the error "longer object length, is not a multiple of shorter object length in: kappa * gcounts ". I wonder if there is anybody who can explain the error for me? Thanks! Hui

Hi, I have huge matrices in which the response variable is in the first column and the regressors are in the other columns. What I wanted to do now is something like this: #this is just to get an example-matrix DataMatrix <- rep(1,1000); Disturbance <- rnorm(900); DataMatrix[101:1000] <- DataMatrix[101:1000]+Disturbance; DataMatrix <- matrix(DataMatrix,ncol=10,nrow=100); #estimate

Hi, I need to permute the rows of a matrix, where each row is independently rearranged. A simple solution is this: shuffled <- datamatrix <- matrix(1:24, ncol = 4) for (i in 1:nrow(datamatrix)) { shuffled[i, ] <- sample(datamatrix[i, ]) } > datamatrix [,1] [,2] [,3] [,4] [1,] 1 7 13 19 [2,] 2 8 14 20 [3,] 3 9 15 21 [4,] 4 10 16 22 [5,]

I have tried quit(), and return() but first exits from whole graphical interface and second is only for functions. What I need only to exit from current script and return to the console. -- View this message in context: http://r.789695.n4.nabble.com/beginner-simple-keyword-to-exit-script-tp3052417p3052417.html Sent from the R help mailing list archive at Nabble.com.

Hi. I have been looking at the PCAproj function in package pcaPP (R 2.4.1) for robust principal components, and I'm trying to interpret the results. I started with a data matrix of dimensions RxC (R is the number of rows / observations, C the number of columns / variables). PCAproj returns a list of class princomp, similar to the output of the function princomp. In a case where I can

Hello R users, I'm wondering whether it is possible to manage big data set in R? I have a data set with 3 million rows and 3 columns (X,Y,Z), where X is the group id. For each X, I need to run 2 regression on the submatrix. I used the function "split": datamatrix<-read.csv("datas.csv", header=F, sep=",") dim(datamatrix) # [1] 2980523 3

consider this matrix: [,1] [,2] [1,] 3 7 [2,] 6 5 [3,] 7 5 [4,] 3 5 [5,] 7 5 [6,] 5 5 [7,] 8 4 [8,] 2 4 [9,] 7 4 [10,] 0 6 I need to delete all rows where column 2 above and below has the same value, so the effect would be: [,1] [,2] [1,] 3 7 [2,] 6 5 [6,] 5 5 [7,] 8 4 [9,] 7 4 [10,] 0 6

Hi All, I have a 1000x1000000 matrix. The calculation I would like to do is actually very simple: for each row, calculate the frequency of a given pattern. For example, a toy dataset is as follows. Col1 Col2 Col3 Col4 01 02 02 00 => Freq of ?02? is 0.5 02 02 02 01 => Freq of ?02? is 0.75 00 02 01 01 ? My code is quite simple as the following to find the pattern ?02?.

Hi list, I'm performing a series of confirmatory factor analysis on different groupings of items from data collected with questionnaires. There are some missing values. For those sets with no missing values I call factanal(datamatrix,factors=n) where datamatrix is a table of all observations for the items under investigation. This call fails when there are missing values. help(factanal)

I got simple x,y pairs of data and simple scatterplot and just cannot figure how to do it , there are many examples but always there is error popping out please show me an example stripped with additional data just core of what I need to do to get this damn line -- View this message in context:

I have got a list with 3 colums x,y,z, now I want do delete whole rows where column z has NA values I am not intereted in x and y columns if there are also NA values or not, moreover I do not want to touch them because if there would be NA that would mean a more serious error for me, and I have cath for that somewhere else I am asking because I only saw an example where function loops over all

for example I have matrix with two columns x,y 1,0.56 2,9.55 2,7.56 5,2.55 5,0.56 3,0.55 2,0.56 2,1.56 so I need to take average from y values placed where x==2 -- View this message in context: http://r.789695.n4.nabble.com/how-to-make-partial-mean-of-a-matrix-only-when-second-value-matching-some-logic-tp3078449p3078449.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I am wandering.. is it possible to cluster data which is in a single column ? for example.. I have some data as follows: 4013 7362 7585 9304 11879 14785 21795 30500 30669 30924 33988 36975 40422 42911 50501 51593 53729 54338 55497 57337 61993 62601 66229 69815 69933 70760 71340 75921 83972 90134 91061 . . . is it possible to cluster this data since it is in a single column ? I have

Dear All: I tried to use heatmap.2 to generate hierarchical clustering using the following command: heatmap.2(datamatrix, scale="row", trace="none", col=greenred(256), labRow=genelist[,1], margins=c(10,10), Rowv=TRUE, Colv=TRUE) datamatrix is subset of a RMA normalized data subset by a genelist. The problem is a lot of times, the z-score in key are from, like -5 to 15 or

Hi, Here in R, I need to load a huge file(.csv) , its size is 200MB. [may come more than 1GB sometimes]. When i tried to load into a variable it taking too much of time and after that when i do cbind by groups, getting an error like this " Error: cannot allocate vector of size 82.4 Mb " My requirement is, spilt data from Huge-size-file(.csv) to no. of small csv files. Here i will give

Hi here i have a code to split a csv file as per group of line. The code given below, ------------------------------------ SplitCSVByLine <- function(DataMatrix,Destination,NoOfLineToGroup) { input <- file(DataMatrix, "r") fileNo <- 1 repeat { myLines <- readLines(input, n=NoOfLineToGroup) if (length(myLines) == 0) break