similar to: qqplot

Hi Everyone, I want to make 3 lines on the same graph (not as subplots, all in the same window, one on top of each other) and I want them to be quantile-quantile plots (qqplot). Essentially, I am looking for the equivalent of Matlab's "hold on" command to use with qqplot. I know I can use 'points' or 'lines', but these do not give me a qqplot (only appear to work

Hi, people. I was a bit intrigued by the message quoted below. Indeed, if pt() is given a matrix, it returns a matrix. Should this feature be documented? ?pt speaks about "a vector of quantiles", and says nothing about the type of what it returns. The same might presumably apply to other distribution-related functions. ----- Forwarded message from Martyn Plummer <plummer at

>>>>> On Tue, 31 Aug 1999 14:57, Werner Stahel <stahel@stat.math.ethz.ch> said: WSt> Here is a suggestion. It seems that qqplots, comparing a sample WSt> to a distribution other than the normal, are not explicitly WSt> available in S or R. I found (in S-plus / Trellis it is, see below) WSt> qqplot(y, rt(300, df = 5)) WSt> as an

Dear Community, I want to identify outliers in my data. I don't know how to use identify command in the plots obtained. I've gone through help files and use mahalanobis example for my purpose: NormalMultivarianteComparefunc <- function(x) { Sx <- cov(x) D2 <- mahalanobis(x, colMeans(x), Sx) plot(density(D2, bw=.5), main="Squared Mahalanobis distances, n=nrow(x),

Hi, R friends. I had some difficulty with the following code: qqnorm(freq, log='y') qqline(freq) as the line drawn was seemingly random. The exact data I used appears below. After wandering a bit within the source code for "abline", I figured out I should rather write: qqnorm(freq, log='y') par(ylog=FALSE) qqline(log10(freq)) par(ylog=TRUE)

Greetings, Sorry for the basic question, but I am trying to find out if R is a suitable platform for what I want to do... I am interested in creating simulations of distributed algorithms (i.e. team formation, Byzantine Generals , P2P communication modeling, mobile networks) that would be represented in GUIs. I would like to be able to instantiate an object for each node in my simulated

Hi, I am new to R and I would like to display an image on a plane in a 3D plot, i.e. I would like to be able to specify a theta and a phi parameters like in the function persp to display a 2D image on an inclined plane. Regards, vincent [[alternative HTML version deleted]]

Hi, I am new to R and I would like to display an image on a plane in a 3D plot, i.e. I would like to be able to specify a theta and a phi parameters like in the function persp to display a 2D image on an inclined plane. Regards, vincent [[alternative HTML version deleted]]

Dear all, I have to handle a large matrix (1000 x 10001) where in the last column i have a value that all the preceding values in the same row has to be compared to. I have made the following code : # generate a (1000 x 10001) matrix, testm # generate statistics matrix 1000 x 4: qnt <- c(0.01, 0.05) cmp_fun <- function(x) { LAST <- length(x) smpls <- x[1:(LAST-1)] real

Hi, We could use qqplot to see how two distributions are different from each other. To show better how they are different (departs from the straight line), how is it possible to plot the straight line that goes through them? I am looking for some thing like qqline for qqnorm. I thought of abline but how to determine the slope and intercept? Best wishes, Carol

Hi, people. Two days ago, I sent to this list a little toy for exploring polynomiographs (yet, the mathematical formulas were not polynomials anymore, so the name is not really appropriate). After studying R calls, expressions and functions a bit more, I gave myself the homework of producing an animation out of my recent toy. The resulting animation, and also the sources, are available at:

[ronggui] >R's week when handling large data file. I has a data file : 807 vars, >118519 obs.and its CVS format. Stata can read it in in 2 minus,but In >my PC,R almost can not handle. my pc's cpu 1.7G ;RAM 512M. Just (another) thought. I used to use SPSS, many, many years ago, on CDC machines, where the CPU had limited memory and no kind of paging architecture. Files did

Hi, people. xy.coords() does not behave like its documentation says, when given some matrices. ?xy.coords says: If 'y' is 'NULL' and 'x' is a [...] formula [...] list [...] time series [...] matrix with two columns [...] In any other case, the 'x' argument is coerced to a vector and returned as *y* component [...] Now, consider this short

I have summary statistics from many sets (10,000's) of near-normal continuous data. From previously generated QQplots of these data I can visually see that most of them are normal with a few which are not normal. I have the raw data for a few (700) of these sets. I have applied several tests of normality, skew, and kurtosis to these sets to see which test might yield a parameter which

Except for the ability to perform circular recalculation, I believe that the closest programming analogy to a spreadsheet is a functional programming language. Check out Haskell (or LISP or Erlang) to do what you describe. -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Fran?ois Pinard Sent: Wednesday, August 29, 2007

Hi, people. Executing the following command: hist(rpois(100,5), labels=TRUE) yields a graphic in which some labels are truncated (on an X11 device). The truncated labels are those over the highest bars. The hist function should ideally manage enough room for the labels, automatically. (Specifying ylim solves my problem, but yet, hist could be frienlier.) --please do not edit the

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

Hi R user, I am new to R, and I have a very simple question for you. I have two matrix A and B, with internally redundant rownames (but variables are different). Some, but not all the rownames are shared among the two matrix. I want to create a greater matrix that combines the previuos two, and has all the possible combinations of matching rownames lines among matrix A and B. looking for the

Hi, people. I met a little problem for which someone might have a solution. Let's say I have an executable file (named "pp.R") with this contents: #!/usr/bin/Rscript options(echo=TRUE) a <- 1 Sys.sleep(3) a <- 2 If I execute "./pp.R" at the shell prompt, the output shows the timely progress of the script as expected. If I use "./pp.R | tee

--KsGdsel6WgEHnImy Content-Type: text/plain; charset=iso-8859-1; format=flowed Content-Disposition: inline Content-Transfer-Encoding: 8bit Hi, people. Wandering in R archives, and seeing the message attached below, I noticed that: mapply(rep,times=1:4, MoreArgs=42) still segfaults on R 2.2.0, and thought I should be a good citizen and report it, even if I do not have an actual problem