similar to: Order data frame

Hi listers, I have the following code... data<-as.matrix(c(1,2,3,4,5,6,7,8,9,10),nrow=10,ncol=1,byrow=TRUE) n<-nrow(data) m<-n-1 boot<-data[sample(m,replace=T),] So, I need to count the number of times each observation was selected at the sample with replacement... Suppose I sampled... 4 5 1 3 7 5 1 4 7 So, I would count... x count 1 2 2 0 3 1 4 2 5 2 6 0 7 2 8 0 9 0 10 0

Hi listers, I have a simple doubt... I need to manipulate the data base as: var1 var2 7 0.1 7 0.1 8 0.12 10 0.15 12 0.18 20 0.31 I would like to aggregate the equal cases as var1 making the sum of var2... I would get... var1 var2 7 0.2 8 0.12 10 0.15 12 0.18 20 0.31 Thanks in advance, Marcio -- View this message in context:

Hi listers, I am working on a simulation... But I am having some troubles... Suppose I have a function A which produces two results (mean and variance)... Then I would like to simulate this function A with a function B many times using the results from function A For example: #Function A boot<-function(a,b,c){ mean_boot<-(a+b)/2 var_boot<-c #list(a=a,b=b,c=c) return(a) } Then I would

Hi listers, Does it necessary to install any package in order to use the GINI or INEQ functions. If I use the following command the R tells me that didn't find the GINI function. x<-c(541, 1463, 2445, 3438, 4437, 5401, 6392, 8304, 11904, 22261) G<-gini(x) Thanks in advance, Marcio -- View this message in context:

Hey listers, I am trying to do something simple... Check the program below... I would like to create a variable named COLOR according to the conditions that I stablished... But the problem is that it seems that my variable COLOR is checking just on sample, may be last in the loop... Certainly, I am missing something... Thanks in advance, Marcio

Hi listers, I am trying to arrange my data and I didn't find any information how to do it! I have a data with 3 variables: X Y Z 1-I would like to multiplicate de information of X according to the number I have for my Y variable... 2-Then I want to identify with a dicotomic variable by the number according my variable Z from X... I can do the first part by... z<-rep(x,y) But I don't

Hi Listers, Is there a way that I can transpose an array... Suppose I have the following array... x<-array(c(1,2,3,4),dim=c(1,2,2)) , , 1 [,1] [,2] [1,] 1 2 , , 2 [,1] [,2] [1,] 3 4 And I would like to get the following result... , , 1 [,1] [1,] 1 [,2] 2 , , 2 [,1] [,2] [1,] 3 [,2] 4 Thanks in advance, Marcio -- View this message in context:

Hi listers, If I would like to check if a variable contains certain value, I would write: if (10 %in% x) And If I would like to check the opposite, that 10 is not into x. How would be? Thanks in advance, Marcio -- View this message in context: http://r.789695.n4.nabble.com/Condition-in-tp2538110p2538110.html Sent from the R help mailing list archive at Nabble.com.

Hi Listers, I am producing some graphics that the commands are in a FUNCTION... The problem is that I end up viewing just last graphic and in my FUNCTION there are 4 graphics with the PAR command function... Like those below... How do I view/get the other 3 graphics? Any help? Thanks in advance... histogram<-par(mfrow=c(1,2)) hist(rw_mean_app,main='Bootstrap Method

Hey listers, I've posted this doubt other day... But I am still having a hard time... I have a MAC and I am not getting how to use the read.table command... At the bottom of the FINDER application I have the following path: Macintosh HD>Usu?rios>User>Marcio>UdeM>Travail Dirig?>Data>MU284 Population.txt I didn't find out how I could copy and paste this path as it is

Hi listers, I am working on an canonical discriminant analysis, but I am having some trouble to use the CANDISC function... I just installed the last R version and installed the package CANDISC... But, I am getting the following message because about a permission: The downloaded packages are in C:\Users\Marcio\AppData\Local\Temp\Rtmpz2kFUm\downloaded_packages updating HTML package descriptions

Hi listers, I've been looking for a procedure, but I am not succeding... I have a function that give multiple results... Then, I would like to simulate this function n times, so I need to save/keep the n multiple results, in order to calculate my desired statistics... I have already tried with the RETURN and LIST FUNCTION, but I am not getting it right... An example of what I am looking for

Hi listers, I am having some trouble in a matrix multiplication... I have already checked some posts, but I didn't find my problem... I have the following code... But I am not getting the right multiplication... I checked the dimension and they are fine... id_y <- array(1:10,dim=c(2,1,5)) id_yt<-aperm(id_y,c(2,1,3)) m_id<-array(dim=c(dim(id_y)[1],dim(id_y)[1],dim(id_y)[3])) for (i in

Hello, Which would be the command to change the size of the legend. I checked at the help and I found out something about TEXT.WIDTH, but I am not sure if is what I want. Any help! Thanks in advance, Marcio -- View this message in context: http://r.789695.n4.nabble.com/Size-of-the-legend-tp2547601p2547601.html Sent from the R help mailing list archive at Nabble.com.

Hey folks, I have a graphic of dispersion... I would like to color some specific points (x,y) according to another indicator variable, for example: x<-rnorm(5) y<-rnorm(5) ind<-(1,0,0,1,0) plot(x,y) Any suggestion, thanks... Marcio -- View this message in context: http://r.789695.n4.nabble.com/Graphic-Dispersion-Colored-Points-tp2322011p2322011.html Sent from the R help mailing list

Dear R-listers I am writing a manuscript for a scientific journal in clinical medicine. I have three groups of patients, and I present a 10*3 table of their characteristics in Table 1. Some of their characteristics, e.g. their age, are on a continuous scale, others are dichotomous. I am thinking of presenting the age distribution in each group as miniature graphs, each of which must fit in one

I'm trying to change an unordered factor into an ordered factor: data96$RV961327 <- data96$V961327 data96$RV961327[data96$V961327 %in% levels(data96$V961327)[4]] <- NA data96$RV961327[data96$V961327 %in% levels(data96$V961327)[5]] <- NA data96$RV961327 <- factor(data96$RV961327) attributes(data96$RV961327) levels(data96$RV961327) data96$RV961327 data96$RRV961327 <-

Dear R-help, I first thought that the empty set (for a vector) would be NULL. x <- c() x However, the documentation seems to make clear that there _many_ empty sets depending on the vector's mode, namely, numeric(0), character(0), logical(0), etc. This is borne out by y <- letters[1:3] z <- letters[4:6] intersect(y,z) which, of course, is non-NULL: is.null(character(0)) #

Greetings, I usually read this mailing list through google groups (http://groups.google.com/group/r-help-archive), but when I opened the webpage this morning it said: "The group named r-help-archive has been removed because it violated Google's Terms Of Service." Is there an alternative website which uses a similar structure to google groups? I had a quick browse on the R Wiki

Hello R-users, Checking the archives, I recently came across this topic: "export tables to Excel files" (http://r.789695.n4.nabble.com/export-tables-to-Excel-files-td1565679.html#a1565679), and the following interesting references have been proposed: http://rwiki.sciviews.org/doku.php?id=tips:data-io:ms_windows