search for: 7d4

Misunderstanding with lines(...) : http://7d4.com/r/ I would like the y coordinate of the horizontal line to be 1/4, and also the line to begin at x=0 and end at y=1. I'm obviously missing something ... so if anybody could help. Many thanks. test = function() { bmp('test.bmp', width=100, height=100) m = matrix(0, 2, 2) par(new...

Dear Rusers, I would like some comments about the following results (under R-2.2.0) > m = matrix(1:6 , 2 , 3) > m [,1] [,2] [,3] [1,] 1 3 5 [2,] 2 4 6 > z1 = m[(m[,1]==2),] > z1 [1] 2 4 6 > is.matrix(z1) [1] FALSE > z2 = m[(m[,1]==0),] > z2 [,1] [,2] [,3] > is.matrix(z2) [1] TRUE Considered together, I'm a bit surprised about

Dear Rusers, Trying to reduce my for loops addiction, could somebody tell me if there are ways to simplify (and perhaps accelerate ?) the following line for (i in 1:N) for (j in 1:N) m[i,j] = b[i]-b[j]; (where m is a NxN matrix and b a vector of length N) Thanks for any hint.

Dear R-users, When a function f1() is called, is there a way to know, from inside the function f1(), if f1() is directly called from the R console, or indirectly from another function f2() ? Of course, I may add an argument to f1(..., callbyf2=FALSE) only used by f2() giving explicitely this info, but I would like to know if there may be a more generic way ? Thanks for any info or pointer

Dear R users, First of all sorry for this question, surely quite naive. (I searched on the R site but was unable to find by myself). I have a table, called infile : 1 2 3 4 5 6 7 8 9 I would like to read it and ignore the rows with 1st element > 3 I do it now with a for loop, and it's ok, but I was expecting something simpler, like : intable = read.table(infile); newtable =

======= 2005-12-06 22:16:17 伳侜佋佢伬伌佇伵佒佇佇伌伒伬仯伜======= >Martin Maechler a 侀crit : > >> please, please, these trailing ";" are *so* ugly. >> This is GNU S, not C (or matlab) ! >> >> but I'll be happy already if you could >> drop these ugly empty statements at the end of your lines... > >May I disagree ? >I find missing ";" at

Dear all, Once again I need your help ; I fond a way to do what I want but I am sure there is a better way.. maybe you can help me. I have a matrix, for example mat.tot : > mat.tot ID Desc M1 M2 1 1 gene1 0.5 0.2 2 2 gene2 -0.4 -0.1 3 3 gene3 1.0 1.2 4 4 gene1 0.6 0.3 5 5 gene2 -0.3 0.0 and I want to merge line 1 with line 4, and line 2 with line 5 because this is the same gene. I can

Dear R-helpers, I apologize for this certainly simple question. I have the following R lines : > m = matrix(1:12 , 3 , 4); > m [,1] [,2] [,3] [,4] [1,] 1 4 7 10 [2,] 2 5 8 11 [3,] 3 6 9 12 > m1 = subset(m , m[,2]>=5); > m1 [1] 2 3 5 6 8 9 11 12 but in fact I would appreciate m1 to be also a matrix, and thus would like to get :

R and DDE (Dynamic Data Exchange) Dear Rusers, I run an application (not mine) which acts as a DDE server. I would like to use R to get data from this application, say once per minute, and do some processing on it. I didn't find much info on the R DDE abilities, apart the tcltk2 package in which I will try to go deeper. I would be very thankful for any info, pointer or advice about the

Hello Listers, I am trying to sample a vector to create a new one of sample length, witha sum equal to the sum of the initial vector: initial = 10, 30, 10 (sum=50) sample example = 5, 35, 10 (sum=50) or 25, 15, 10 (sum=50), etc ... My problem is to control the sum, so it stays constant. Any suggestions would be very helpful ! Thank you in advance, Eric

Dear all, First I apologize if my question is quite simple, but i'm very newbie with R. I have vectors of the form v = c(1,1,-1,-1,-1,1,1,1,1,-1,1) (longer than this one of course). The elements are only +1 or -1. I would like to calculate : - the frequencies of -1 occurences after 2 consecutives -1 - the frequencies of +1 occurences after 2 consecutives +1 It looks probably something like

Dear all, I'm currently working on correlation matrix. The function image() is quite useful for visualization. Before using image(), I'd like to sort the matrix rows/columns, in order to make the matrix the more monotonous/smooth possible. Before reinventing the wheel, is there somebody here aware if such a function already exists ? Thanks.

Hi, Apologies if the question is too simple but I didn't find the answer by myself. I'm able to create a 3-dimensionnal array A and to write it with write.table() ... but, after that, I don't find how to read it with read.table() getting the right 3 dimensions. I tried to use as.array(), to force the dim, etc but it didn't work. (It's probably obvious ... ?) Thanks for your

Dear all, info = paste('a', 'b', sep='\t') print(info , quote=F) doesn't produce the same result with R201 and R220 (under Windows2000) R 2.0.1 : [1] a b R 2.2.0 : [1] a\tb I did read the CHANGESR220 file and tried also the search engine but couldn't find an answer. I certainly missed the point, and apologize about that. So if somebody could tell me how to

Hi all, In response to a previous post about plotting a numeric square matrix as a colored matrix, I was referred to both image and the color2D.matplot function in the plotrix package. Both have worked for me thanks!! However I need to plot my data in a log transformed color scale. Is this possible? I will be happy to explain further, but basically I need to do this because there are large

On the cover of Zivot and Wang's Modeling Financial Time Series with S Plus, there is a correlation plot that seems to indicate the strength of correlation with color-coded squares, so that more highly correlated stocks appear darker red. If anybody out there is familiar with the book or understands what I am talking about, I am curious as to whether or not there is a similar function in R

Dear all, I'm doing univariate Poisson regressions using the "glm" and "glm.fit" functions. I have 5 independent datasets and each dataset, has one response variable and more than 20 factors to test. Currently, I run one regression at a time and manually take notes of the results in excel to have a quick overview on what is going on in my data. My poor method is very

Hello, I would like to plot my data in a fashion similar to a boxplot, but plot the true data points without a box, just overlay lines of the summary generated by the boxplot. I have less than 10 observations within each group, so I think showing the actual data would be more effective than the box of the boxplot. I have been unable to find a way to do this. Here is example data: >

Hi All, I am new to post question on this list. I apologize if this question is too easy or irrelevant. I am doing a simulation study and I need to read a data file that can be easily read by SAS. So, what I try to do is to execute SAS in R and then read the output of SAS to R. I try the following code but it didn't work. system("c:\\program files\\sas institute\\v8\\sas.exe

Hello, I use extensively m[i0:i1,j0:j1] = ... to update matrices parts. This writing is very convenient, but, since I'm doing this calculus many many times, I would like to know if there is a way (a hope ?) to do the same operation faster ? Thanks for any advice or pointer. Vincent