similar to: Converting a Matrix in a colum vector

Hi all, I want to plot trough pairs() plot a matrix with 4 columns. I want to make a trhee plot in a graph. Plotting pairs colum 2,3,4 on y axis and 1 on X axis. You mean (a plot with three graphs) ommitting the first pair with itself. And only the pairs with colum 1 with the other not all pairs. I. e. this matrix 4177 289390 8740 17220 3907 301510 8530 17550 3975 316970 8640 17650 3651 364220

Hi, I have finally installed TeachingDemos trough zip file and installed on lbrary. One new question: I want to draw a line (like abline) on diagonal or the result of running a ols. How can I do it. On the other hand, I want to mark the length on each sub plot y axis. It is possible? My function is sca<-function(){ z2<-read.table("Ase.txt",header=T)

Sorry all for these two easy questions: First, I have a matrix with trhee columns: A= Name Eight Puntuation Pepe 1,85 10 Paco 1,7 7 Pablo 1,82 6 I want to scatter the two columns (I could use pairs or other functions...) but the only doubt is that I cannot find the way to add in the associated intersection (the point scattered) the label "Pepe" "Paco" and so

Hi I have an output data Data.csv this style: ,"V1","V2","V3" 1,"-9552","9552","C" 2,"0","9653","0" 3,"9614","9614","V" 4,"0","9527","0" 5,"-9752","9752","C" 6,"0","9883","0"

I imagine I make a function whose results are a Matrix Z How cn I save in a txt or excel file the result of apply my function? something similar to save Z.txt. Thanks in advance. [[alternative HTML version deleted]]

Hi all, I´m using titt<- expression(paste("R con ventanas de 200 ", italic(datos))) And it works properly on a plot(...,main=titt,..) But if I want to add an improvement to avoid typing n on the plot so that n<-200 titt<- expression(paste("R con ventanas de ",n, italic(datos))) It doesn´t recognize that n is a "variable" and adds "n" letter

Hi all I want to apply different colors on a simple plot: If I type par(br="gray") before a plot it puts all the image in gray but (imagine I run a simple plot) want to let the centrall box (where the dots are plotted) in white or image in lightblue. Can anyone guide me to apply this second step (make the box where the series are plotted in different colours). Thanks in advance.

Hi all, Imagine I have a matrix and the first colum is a list that repeats the same names, I want to sum the second column on each unique name on first column. Imagine this: Pepe 2 Pepe 3 Pepe 4 Jose 2 Jose 5 Manuel 4 Manuel 2 I want to make a new matrix that calculates and recognizes that there are 3 different names ans sum second column. But a priori I don´t know the list of the different

Hi I wrotte this function but when I get the "tmp.xls" file it shows data in a rare way. I mean not appears a matrix with 2000 rows and 100 columns. Can anyone help me, guide me? kim<-function(){ tmp<-randz<-matrix(rnorm(200000, mean=0,sd=0.01 ),2000,100); dim(tmp) write(tmp,file="tmp.xls") Thanks in advance. On the other hand, everytime I execute a function

Hi all, I have two vectors (columns) called "efinal" and "efinal 2". I want to plot them on the same plot and "draw" a shaded area beween the two lines using function polygon I have tried all but I don ?t understand the polygon area, can you help me with examples? plot(efinal,type="l",ylim=range(min(efinal2),

Dear All, I have a function which takes a n x m matrix as an argument and returns an n x n matrix. I want to take bootstrap samples form the input matrix in the way as each row represent a multivariate observation, so each bootstrap sample would be an n x m matrix, and on each sample I want to calculate the n x n matrix. This task can be done with the sample function, but I would like to use

Given an nxm matrix A I want to compute the nxm matrix B whose ij-th element is the sum of the elements of A lying on the diagonal that ends with element ij, i.e., b_ij = a_ij + a_(i-1)(j-1) + a_(i-2)(j-2) + ... In APL (which I no longer use), I would use the 'rotate' operator to derive an array whose columns are diagonals of the given array and then cumulate down columns. Is

I am trying to write an efficient function that will do the following: Given an nxm matrix, 10 rows (observations) by 10 columns (samples) for each row, test of all values in the row are greater than a value k If all values are greater than k, then set all values to NA (or something), Return an nxm matrix with the modified rows. If I do this with a matrix of 20,000 rows, I will be waiting until

Hello, I am trying to find a permutation test that works on a general nxm table. The data set is small enough to have cells with too small counts to make chi2-approximation invalid. If the table was a 2x2 contingency table I would like to use a Fsher exact test (fisher.test) but that wont work in this general table. Does there exist a general function for this test. Best regards, Magnus

Hi You wrotte me in R help and I´m very gratefull. I couldn´t reply because an illness. I writte this to see if you can help to solve. I´m a begginer (I´m 20 years old ) but I´m trying to learn more about this program also I´m learning Octave. I need to create a matrix in R whose values depends on the values of other matrix. You see: I have a first "R" matrix whose first row and

An embedded and charset-unspecified text was scrubbed... Name: not available URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20091124/39eccb61/attachment-0001.pl>

Dear R listers, Just a simple question. If we say an nxm matrix (n>m) is full rank of m, does this mean that this matrix has linearly independent columns? They are the same definition or needs some proof? Thanks for your answer. Fred [[alternative HTML version deleted]]

On 3 May 2018, at 22:09, David Zarzycki via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > Hello, > > In an effort to help LLVM-style projects save memory, I’ve been toying with some macros that provide an alternative to C++ vtables that use LLVM-style RTTI design patterns instead. Is this something that LLVM or sub-projects think is worth pursuing? Or are the macros below

Hello R community, I am using R for creating a model using optimization. I would like to ask if there is R-function/package for solving the problem below: Minimize sum(abs(exp^(Ai1 x1 + Ai2 x2 + ... + Aim xm - bi) - 1)), for each i = 1, ..., n. subject to Ai1 x1 + Ai2 x2 + ... + Ajm xm - bi <= c, where c is a scalar. (x is a vector of variables, A is nxm matrix, b is a vector)

Hi I want to simulate random numbers normal distributed with this size (2000,10000). I tried this but my computer exhaust there is a fast way to make it? randz<-matrix(rnorm(2000000),2000,10000) [[alternative HTML version deleted]]