similar to: Consistent behaviour of for-loop

Dear R users: How can I use panel.qqmathline, in package lattice, to add straight lines onto the plots generated by qqmath? I read help pages of qqmath, panel.qqmathline, xyplot, ..., but just can't one example that shows how to make it work. For example, > data(sleep) > qqnorm(~ extra | group, data=sleep, aspect=1) how can I use panel.qqmathline? Thanks very much for your help,

Hello, I would like to inlude the Q-Q plot by "qqmath" into a panel with other plots, say, using par(mfrow=c(1,2)). How can this be done given that "qqmath" refreshes the plotting window and there seems to be no series coming out of it? Thanks Serguei [[alternative HTML version deleted]]

Hello! I am trying with this question again: I would like to test few distributional assumptions for some behavioral response data. There are few theories about true distribution of those data, like: normal, lognormal, gamma, ex-Gaussian (exponential-Gaussian), Wald (inverse Gaussian) etc. The best way would be via qq-plot, to show to students differences. First two are trivial: qqnorm(dat$X)

I have been crashing R while using lattice. My system consists of a Mac Intel, R 2.5.1, lattice 0.15-5, and I plot through the default quartz. R crashes after plotting several lattice functions. Has anyone else encountered this problem and does anyone know the cause, or a solution? Is this a lattice:mac, lattice:quartz, Lattice:me issue? example... This crashes my system after plotting.

Hello, I want to do with Lattice functions (qqmath, histogram) a figure like this below. n <- 1000 x <- rnorm(n) qqnorm(x); qqline(x) op <- par(fig=c(.02,.5,.5,.98), new=TRUE) hist(x, xlab="", ylab="", main="", axes=FALSE) box() par(op) Is possible? Thanks. Walmes Zeviani. _________________________________________________________________

Referring to "Using R for Data Analysis and Graphics" by J H Maindonald, and available from the R site, I found the example on p.30 non-working: > stem(qqnorm(possum$hdlngth)) Error in stem(qqnorm(possum$hdlngth)) : 'x' must be numeric Since qqnorm(possum$hdlngth) plots, and > class(possum$hdlngth) [1] "numeric" , the problem must be here: >

Good Morning: I have attached a text file with one hundred thirty six observations. I would like to create a qq plot with the following features: 1. Observed values on the y-axis. 2. Normal approximation line on the plot. 3. X-axis with vertical reference lines at the following percentiles of the data: 1, 10, 20, 50, 80, 90 and 99. 4. Data appearing on the plot as distinct points. I assume that

Does the 'groups' option on qqmath just color the points differently in the main distribution or does it actually overlay separate quantile plots for each subset? I would like to be able to do the latter. --Rich Richard Kittler AMD TDG 408-749-4099

Hello Everyone,   Learning about R and its wonderful array of functions. If it's not obvious, I usually try to find out what a function stands for. I think this helps me remember better.   One function that has me stumped is "sink." Can anyone tell me if this stands for something?   Thanks,   Paul         __________________________________________________ [[alternative HTML

Hi all, Does anyone know how to plot overlapping qqnorm plots on the same window? Suppose I have data in the vector x and y: qqnorm(x) lines(qqnorm(y)) I though these two lines will do the job... However, lines doesn't seem to work. Anyways, thanks in advance! -- View this message in context: http://www.nabble.com/Plotting-two-qqnorm-plots%3A-tp25352893p25352893.html Sent from the R help

Hi all, I want to create a rather standard overlaid qqnorm plot on a single variable, with different subgroups of the same dataset plotted using different colors/symbols/etc. (I don't want side-by-side, rather different-colored curves on the same graph) I managed to do it rather tediously using "lapply" and "split", and wondered whether there is any single-command

First of all, I really like R! Still being a newbie, I find things (the difficult ones) to be very simple. Alas, some 'simple' things still escape me. (Maybe the tutorials are often too much focused on the 'difficult' items??) Here comes my 'problem', over which I have sweated for the last 2 hours: My data are of a matrix 10x31, Likert Scale (1-5). 10 questions, 31

One of many scripts to produce 4 lattice plots on one page keeps throwing an error. I've tried manipulating the file to eliminate the error, but have not been able to do so. The error is: > source('bicarb.R') Error in source("bicarb.R") : bicarb.R:15:1: unexpected symbol 14: 15: hco33 ^ The 'h' is in column 0 so the caret would be column -1, but it's

Hello, I can't seem to make qqmath plot text. v <- rnorm(8) qqmath(~v) # this is ok, but qqmath(~v, panel=function(x, y) { points(x, y) text(0, 0, 'print me', cex=2)}) isn't ok. The axis frame is printed properly (ie, as in qqmath(~v)), but neither 'print me' nor the points show up on the graph. I can, however, see the upper half of the word 'me' in the

Hi, Don't have a clue what teh following error message generated by this function call: qqmath( ~val|ind,data = xx ,distribution = function(p){ qt(p,df=20)} ,ylab="Sample Quatinles" ,xlab="Theoretical Quantiles" ,panel=function(x,y) { panel.qqmathline(y , distribution=function(p) qt(p,df=20)

Having solved this problem, I am posting this so that the next time I search for how to do this I will find an answer... Using qqmath(..., groups=num) creates a separate qq distribution for each group (within a panel). Using the 'col' or 'pch' argument does not (usually) work because panel.qqmath sorts the data (but not 'col' or 'pch') before plotting. Sorting

I want to qqnorm every column in a table. When I try the first column using qqnorm(table$column1), it worked. But when I use qqnorm(table[1]), it tells me "Error in stripchart(x1, ...) : invalid plotting method". What happen? How can I make a function that qqnorms every column? thanks a lot. -jiong The email message (and any attachments) is for the sole use of the intended

Hi, Try either: set.seed(28) stats1<- as.data.frame(matrix(rnorm(5*10000),ncol=5)) pdf(paste("test",1,".pdf",sep="")) par(mfrow=c(2,1)) lst1<- lapply(names(stats1),function(i) {hist(stats1[,i],100,col="lightblue",main=paste0("Histogram of ",i),xlab=i );qqnorm(stats1[,i])}) dev.off() #or

Hello, Our professor asked us to do probability plotting using weibull paper, exponential paper, normal, log-normal paper, etc. I know I can create Q-Q plot for normal dist. and see if all te points are on one line. How do I go about other distributions? I tried generating different samples and use the general qq function. However, I could not do it since I don't know the population

Hello alltogether, how is it possible to assign the colnames of a data.frame to a function called by apply, e.g. for labeling a plot? Example: I want to plot several qqnorm-plots side by side and there should be a maintitle for each qqnorm-plot which is identical to the respective colname. I checked, but the column which is processed by the function called by apply does not contain a colname