similar to: How to add a new column to a matrix?

Hi I want to convert a matrix to a dataframe. The matrix is like this Site A B C D X 1 2 3 4 Y 5 6 7 8 Z 9 10 11 12 The converted dataframe need to have the first row as column names and the values of each column (1, 2, 3, 4; ......12;) be numeric, not factors. I used data.frame(), but it gave me auto-assigned column

Dear all and thanks in advance for helping me with a rather stupid question: I imported a data set ("freqg") into R consisting of 14 variables. Now a want to compute a variable and add it in an additional column to my data frame. The value of this new variable ("condition") depends on the values of two other variables ("mat" and "flank") already

Hi, I need clarifications on how to sell linux tools. (Though i' not sure how people ready to buy it :) ) I have written few tools and planning to write more(by giving up current non-linux & boring job). I want to know,which license will allow me to sell tools/softwares? (I hope to sell the products through online) Cheers, Lakshmipathi.G www.giis.co.in

Hello Suppose I have a matrix mat=(1:16,2) [,1] [,2] [,3] [,4] [1,] 1 5 9 13 [2,] 2 6 10 14 [3,] 3 7 11 15 [4,] 4 8 12 16 there is a vector end=c(2,3,1,3) #coerce the 1st 2 numbers of the 1st column to a vector [1] 1 2 #coerce the 1st 3 numbers of the 2nd column and append it to the previous vector [1] 1 2 5 6 7 #coerce the 1st number of

Hello all, I'm working with a matrix that will have varying dimensions. It will populate an array such that the number of matrix columns will determine the number of 3rd dimension levels of the array. Rows will be the same for both. For this example lets say the array will have 2 columns, but that's not fixed. dim(arr)<-c(dim(mat)[1],2,dim(mat)[2]) I wish to repeat each matrix

I wish to set up a simple function using boxplot so that it will be available to someone using R for Windows. (I myself use Linux.) The way the data is organised makes it convenient to use the boxplot function in a manner similar to this example given in the help. > mat <- cbind(Uni05 = (1:100)/21, Norm = rnorm(100), + T5 = rt(100, df = 5), Gam2 = rgamma(100, shape

I'm ordering "The R Book" and hope to learn a lot more about R. In a meantime, I have a matrix of digits and I would like to look for a column that contains zeroes and remove the entire column from the matrix. I can write a piece of R code to do that (and it works); however, I think the R-experts have more tricks to do such a 'simple' thing. Many thanks in advance.

Hello everyone, I get for each date a measure for n elements in the form of a matrix. I am converting it to a ts object using ts(). I want to apply a function on each column. I started using the apply function ( set to 2) but what it returns is a matrix with the same columns representing the function applied on the last column of the initial matrix. I have been trying to use the sapply function or

folks, if i have three matrices, a, b, cc with some colnames in common, and i want to create a matrix which consists of the common columns added up, and the other columns tacked on, what's a good way to do it? i've got the following roundabout code for two matrices, but if the number of matrices increases, then i'm a bit stymied. > a <- matrix(1:20,ncol=4); colnames(a) <-

Dear R Users, I apology for not being able to provide an adequately informative subject. Let me describe my problem with an example. For a matrix * (mat <- matrix(c(1,1,2,2,2,3,3, 5,9,1,3,7,4,8), ncol = 2))* my desired output is * (desired <- matrix(c(1,2,3, 5,1,4), ncol = 2))* That is, the first column is numerically grouped and only the first item in each group is wanted. The

Dear All, I am very new to R projects.May be i am wrong in some steps.I have given the code which i tried for drawing 3d surface using persp.I need to label the axes with scales z <- array(topnew2$V2, dim=c(600,2)) x <- 10 * (1:nrow(z)) y <- (1:ncol(z)) persp(x, y, z, theta = 30, phi = 30, expand = 0.5, col = "lightblue", xlab ="fluidlevel", ylab

Hi, Let say I have this matrix: > mat<-matrix(cbind(rnorm(20),rnorm(20)), ncol = 2) And I want to rescale values of column [,1] and [,2] using values from row 1 to 5, such that the values of row 1:5 should be rescale to the same amplitude (kinda like take the z-score of population from row 1:5). column 1 and 2 are two different samples need to be compared. I hope I made myself clear

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Hi, I have a matrix as below: mat= [,1] [,2] [,3] [1,] 1 4 7 [2,] 2 5 8 [3,] 3 6 9 What I want to do is, I would like to divide each column with its own value, in order to get value 1. Is there any simple script for that? [[alternative HTML version deleted]]

Dear list, I have the following dataset and want to know how many times each value occur in each column. >data [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] -100 -100 -100 0 0 0 0 0 0 -100 [2,] -100 -100 -100 -100 -100 -100 -100 -100 -100 -100 [3,] -100 -100 -100 -100 -100 -100 -100 -100 -100 -100 [4,] -100 -100 -100 -100 -100 -100 -100 -100 -100

Hello everyone, I have a matrix of over 40000 line and about 30 columns. For my analysis I would like to add another column with ascending numbers (column header should be "order", and than 1,2,3,4 ....the end of the matrix). During my analysis I reorder them ( due to merge commands by a different column). How do I add such a column in an ascending order (or descending for what it

Dear R users, Having searched the mail archive I think the conclusion was that it is not possible to have a column name when there is only one column in the matrix. But I thought I'd check with the more experienced users. What I tried to do was: in a loop I pick a column, record the column name and remove the column from the matrix. But when there were 2 columns left, after one column was

hy all, I wish to switch in a part in my code that use "read.table" to "scan", actually i use this: tab<-scan("data.dat",what=integer(),skip=1) dim(tab)<-c(75,length(tab)/75) tab<-t(tab) It gives me a new tab with 75 columns, but i when i was using read.table with headers then attach i could use the columns names to access the data values, now how can i

Hi, Given a test matrix, test <- matrix(c(1,2,3,NA,2,3,NA,NA,2), 3,3) A) How to compute the counts of each column (excluding the NA) i.e., 3, 2, 1 B) How to compute the counts of each column (excluding the NA) that are greater than the column means ? i.e., 1, 1, 0 I could write a for loop, but hope to use better alternative. [[alternative HTML version deleted]]

This commit adds a function parameter to readtable. The function is called for every column. The goal is to allow specific (non-standard) type conversions depending on the input. When the parameter is not given, or the function returns NULL, the legacy default applies. The colClasses parameter still takes precedence, i.e. the colConvertFn only applies to the default conversions. This allows to