similar to: Overlaying graphs

I know I should probably RTFM for this question, but could someone tell me if R supports the idea of "viewing source" on any particular function you want to use? If I want to "view source" on the rpois() function, for example, can I do somethink like: source(rpois) To see how the function is implemented? Regards, Paul Meagher Datavore Productions 50 Wood Grove Drive

My google search for Plackett's Algorithm didn't return too much except that Plackett's algorithm appears to be useful in Control Theory - it is elaborated as "Plackett's algorithm for on-line recursive least squares estimation". Sounds something like what I want. I am looking at developing a user modelling type app (new data points coming in and wanting to dynamically

I know this topic has had plenty of discussion in the last couple of days, but.... I've been trying to compare the effects of different fitted methods for systems of equations (OLS, SUR, 2SLS, 3SLS ) and would like to compare the residual plots (easy) and the qqnorm/qqplot of the fits for the different fitted methdos. For example, qqnorm( residuals( lm( q ~ p + f + a ) ) ) par( new = TRUE )

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

I am developing a PHP script and want to use R to get the probability of a t-value. This just requires that I issue one R statement and output the result. The problem I am having is that R will accept batch input but I am not sure that it will accept a "one-liner" (i.e., "/usr/local/bin/R qt(.975, 20)" does not work but you get the idea). Is there a way to pass R a

Hello everybody! This is my first mail so I'll write a couple of lines of self-introduction. My name is Massimiliano, I'm from Italy and I'm studying Mathematical Engineering. I started using R in my Statistics course and have to use it to make a project which I'll discuss at the end of the course. The problem I'd like to ask you about follows. Suppose I have imported a

Dear R community, In the excellent nlme package the default diagnostic plot graphs the innermost residuals against innermost fitted values. I recently fit a mixed-effects model in which there was a very clear positive linear trend in this plot. I inferred that this trend occurred because my fixed effect was a two-level factor, and my random effect was a 12-level factor. The negative residuals

Stock returns and other financial data have often found to be heavy-tailed. Even Cauchy distributions (without even a first absolute moment) have been entertained as models. Your qq function subtracts numbers on the scale of a normal (0,1) distribution from the input data. When the input data are scaled so that they are insignificant compared to 1, say, then you get essentially the

Hello, I have a doubt about the plotting position of the theoretical quantile for the qqnorm command in R. Let F be the theoretical distribution of Y, we observed a sample of size n, y1,y2, ..., yn. We then sort it and comspare these empirical quantiles to the expected ones from F. For the plotting poition, there are several options: 1. i/(n+1) 2. (i-.375)/(n+.25) 3. (i- .3175)/ (n + .365) etc.

Dear [R]-list, I am trying to do a pdf() of the following graphs but don't understand why the pdf() function does produce an empty pdf file. (I use R1.7.0 on MacOS 10.2.8) any idea? Is pdf() incompatible with screen? Thanks a lot, DLC ## create dataset x=rnorm(1000,10,2) y=rpois(1000,5) ## graphs pdf() par(col.main=4,omi=c(0,0,1.25,0)) split.screen(c(1,2))

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 all, I have just started using R to produce qqnorm plots. I am trying to switch the x and y axes so that the theoretical values are plotted on the y axis and my data on the x axis. Can anyone help me with this? Thanks -- View this message in context: http://www.nabble.com/Flipping-axes-of-qqnorm-tp23248007p23248007.html Sent from the R help mailing list archive at Nabble.com.

# I can not draw a 45 degree line on a qqnorm() plot, jj <- sample(c(1:100), 10) qqnorm(jj) abline() don't work. Thank you.

Does anyone know how to extract residuals in lmer? Here's the error I get: > crop.lme=lmer(response~variety*irrigation*pesticide+(1|rep)+(1|rep: pesticide)+(1|rep:pesticide:irrigation), crop.data) > qqnorm(crop.lme) Error in qqnorm.default(crop.lme) : y is empty or has only NAs > resid(crop.lme) NULL Thanks! --Jake

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: >

Hello R friends, I'm wondering why I get funny qqnorm() results. It seems that they should all be reflected in the normal qqline(). For instance: if I qqnorm() bimodal or uniform data I get a sigmoidal in which the qqnorm() points lie above the qqline() at -ve theoretical quantiles, and the qqnorm() points lie below the qqline() at +ve theoretical quantiles. Yet I expect such platykurtic

Dear list-reader, by running the following script: library(zoo) sessionInfo() search() packageDescription("zoo") data(EuStockMarkets) dax <- as.zoo(EuStockMarkets[1:10, "DAX"]) daxr <- diff(log(dax)) identical(as.vector(qnorm(daxr)), qnorm(coredata(daxr))) qqnorm(coredata(daxr)) qqnorm(daxr) qqnorm() produces an error: > qqnorm(daxr) Fehler in if (xi == xj) 0L

Hello! I am using probplot in the e1071 package and want to do something like the following, only with the the 2nd plot overlaying the first. I can't seem to make it work. Any suggestions? *library(e1071) **x <- rnorm(100, mean=5)* *y <- rnorm(100, mean=3)* *probplot(x, line=FALSE) * *probplot(y, line=FALSE) * *Regards,* *Tom* [[alternative HTML version deleted]]

Hello, I am trying to do some plotting to check random effect assumptions for a model I fit using lme. I want to use qqnorm and pairs (similarly to examples given in Pinheiro & Bates p. 188), but it's not working. Here's some relevant code and the error message: library(nlme) data(Machines) m1 <- lme(fixed=score~Machine,random=~1|Worker/Machine, data=Machines) qqnorm(m1,

First my excuses if I keep bugging everyone in this list, but I am a newbie, and tend to find some behaviour that looks unexpected to me; and I would really appreciate to be pointed to some location that allows me to understand more about this software. Here is my next question: > par(mfrow=c(1,1)) > qqnorm(rnorm(20)) > qqmath(rnorm(20)) > par(mfrow=c(3,4)) > for(i in