similar to: ploting dots with quentiles

I have a text file like this 2.5 3.6 7.1 7.9 100 3 4 2 3 200 3.1 4 3 3 300 2.2 3.3 2 4 I used "r <- read.table("a.txt", header=T)" The row names becomes X2.5, X3.6... What I need is the row names are numeric, so I can use the row names as numbers on x-axis for plotting. e.g. "plot(colMeans(r)~names(r))",

I'm a beginner of R. I can use runif() to generate uniformly distributed numbers, but I don't know which function can generate uniformly distributed random integers, or what kind of method do? Thanks! -- View this message in context: http://www.nabble.com/how-to-generate-uniformly-distributed-random-integers-tf4960778.html#a14208376 Sent from the R help mailing list archive at

Hi, I've written a function: myfun <- function(x, y) { // blah blah } and I want to graph it. My plan is to use persp(), and my question is: how do I create the array of values? One possibility is: x <- seq(0, 10, by=.1) y <- seq(0, 10, by=.1) inputs <- <somehow create an array of x,y pairs> outputs <- apply(A, c(1,2), myfun) The "inputs" array would

Hi: I been having a lot of trouble trying to plot multiple time series on the same plot. What I want to do is the following: I have a table with sales per day on different states and what i would like to do is plot time series for all the diferents states in the same plot (divided in small squares, not all the time series together) so I can visualize the data; but I do not know how to do this, im

Hi, I have trouble with the heatmap function (package stats). The row labels are wrongly ordered and don't correspond to the Rowv dendrogram. I know there is a bug with the heatmap fonction. Emmanuel Paradis (http://tolstoy.newcastle.edu.au/R/e2/help/07/05/16227.html )suggested a modification to fix it but in my case the row labels are still wrongly ordered. Heatmaps with 2 phylograms have

I'm trying to understand how to set graphical parameters for trees created with the party package.  For example take the following code:   library(party)     data(airquality)     airq <- subset(airquality, !is.na(Ozone))     airct <- ctree(Ozone ~ ., data = airq,                    controls = ctree_control(maxsurrogate = 3))     plot(airct)   My problem is, I've got a ctree that has

Dear all, I would like to draw a 3-D horizontal cylinder preferably in RGL device (because this gives the look from different angles). Basic idea is from http://www.tau.ac.il/cc/pages/docs/sas8/insight/chap18/sect3.htm. Below is the description exactly what I want to do. Please see at figure 18.6, 1st plot. Here it is an confidence ellipsoid. Suppose now you put another 4 same ellipsoids on top

I used in previous versions of R (R 1.1) to plot axes on projections of factorial coordinates using the function plaxes. This doesn't exist any more. Why this change ? No alternative ? --------------- Charles RAUX, Laboratoire d'Economie des Transports CNRS-Universit? Lumi?re Lyon 2-ENTPE email : charles.raux at let.ish-lyon.cnrs.fr http://www.ish-lyon.cnrs.fr/let

Hi all, I have a data frame consisting of extracted results from a moving regression. Next, I want to write a function that pick up the desired coefficient columns and plots them on one page (about=5). Additionaly, the plots should display the corresponding p-values. As for the coefficients alone, it works fine. The problems arise when I try to add the values of p-values as lines. An example:

Hi, It's my first post on this group. I've just started learning & using R and I like it ;-) I have I think simple question. I'm trying to plot a histogram for my data set. My data set is defined as follows: Class N 12.5 3 17.5 10 22.5 12 27.5 8 32.5 7 37.5 3 42.5 4 47.5 2 Class means middle of set of my ranges I define. N column stores number of measurements counted to

Dear all, I wanted to plot the mean and standard error on the regression equation (instead of individual data points) in the following code, but I could not find the right code in the help files. Could someone please show how to do this. Thank you very much. temp <- c(16,16,16,16,16, 20,20,20,20,20, 24,24,24,24,24, 28,28,28,28,28, 32,32,32,32,32) dev1hr <- c(36.2, 34, 32.2, 36.4, 36,

Hello! I have created a plot and would like to put a legend in the top left corner (above and left of plotting region), but non of the functions can plot there (I tried 'legend', 'text', 'points', 'lines', 'mtext', 'axes',...). I would be very grateful if someone could help me put something in that corrner, with any fuction. Thanks, Ales Ziberna

Hello R-users, I am new to R-commands. I have two sets of data: x <- c(7, 7 , 8, 9, 15, 17, 18) y <- c(7, 8, 9, 15, 17, 19, 20, 20, 25, 23, 22) I have used 'cut' command to seperate them as follows a <- cut(x, breaks =c(0,5,10,20,25,30)) b <- cut(y, breaks =c(0,5,10,20,25,30)) > table(a) a (0,5] (5,10] (10,20] (20,25] (25,30] 0 4 3 0

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this is the command i made for a normal distribution, but when i try to plot the histograms, i dont know why the bars don't stick on the line... nsamples<-1000 sampsize<-15 Samples<-matrix(rnorm(nsamples*sampsize,0,1),nrow=nsamples) a<-apply(Samples,1,var) NC14<-a*14 x<-0:40 plot(x,dchisq(x,14),type='h') hist(NC14,freq=F,add=T) -- View this message in context:

Hi, I would like to be able to develop a function to plot an igraph object with lattice (trellis type displays will be usefull for grouping etc). Anyway, I mostly feeble Igraph requires that you convert two columns of data two an igraph object and to be able to plot the graph...I have tried a very, very simplistic (if not naive) approach and surprise, surprise, it didn't work. First of all,

Thanks in advance for all help , I just started using R and have already done the following. 1. Read through multiple files to get input data 2. plot a vector (X say) 3. end Now i want to plot the vector X for different files on the same plot, and I don't know how to do that. One option I considered was to have a global data frame that holds X for each file. and then plot after iterating

I have a simple bar chart with annual precipitation (jan to dez). I want to plot, above each bar (on a line), a square wich is color based on a scale (0-100%). With 0 being white and 100 black, like a gradient. Is it possible? How to? Thanks -- Fernando Andreacci [[alternative HTML version deleted]]

I want to superimpose two functions plots in the same page. The functions L0 and L1, defined below f0 <- function(mu, xm, ds, n) { 1 - pnorm((xm-mu)/(ds/sqrt(n))) } f1 <- function(mu,n) f0(mu, 386.8, 48, n) L0 <- function(mu) f1(mu, 36) plot(L0,ylim=c(0,1),xlim=c(360,420)) L1 <- function(mu) f1(mu,100) lines(L1) The plot of L0 works pretty well. However, when

I'm trying to do something very simple... I wan to plot a histogram where the y axis represent the percentage of the total sample that each bin represents. I know how to plot a histogram with the counts and density... but can't find anything that gives me perenct of sample on the y axis. Any help is appriciated Below is the script I'm working with par(mfrow=c(1,2))