similar to: strange QQ-Plot

Hi folks, I'm using R 2.5.0 under ESS under Windows XP. (This also happens using the Rgui application.) I'm trying to add lines to a plot originally made with "boxplot", but the lines appear in the wrong place. Below is a script that illustrates the problem # boxablinetest.R - script to show problem with abline on box plot x <- c( 2, 2, 2, 3, 3, 3, 4, 4, 4) y

I'm new to making bubble plots with R, so I was going to try the following: https://stat.ethz.ch/pipermail/r-sig-geo/2009-August/006258.html Unfortunately, it looks like rgdal is not part of 2.14.  I'm not sure if it was the mirror I selected or something else is going on. > install.packages("rgdal") --- Please select a CRAN mirror for use in this session --- Warning

Hi, I am trying to put together a biplot using symbols and different colours instead of text as points. Someone has previously suggested using this code: PC <- prcomp (iris[,1:4]) lambda <- PC$sdev * sqrt(nrow(PC$x)) plot (t(t(PC$x)/lambda),pch=16,col=as.numeric(iris[,5])) par (new=T) Rot <- t(t(PC$rotation)*lambda) XLIM <- c(-max(abs(Rot[,1])),max(abs(Rot[,1]))) XLIM <-

>From owner-r-help at stat.math.ethz.ch Tue Jan 29 06:13:23 2002 >I've got a data-frame contining variables i columns named after the >specified subject and with data which represents time of observation. > >What I would like to do is to get a plot with observation time on the >ordinate and subject on the abscissa -- kind of a "at what time did I >observe the

Hi, In my discpipline, it is common to plot one acoustic property on a positive scale but from top to bottom on the ordinate and the same for another measurement on the abscissa. So, the origin of the plot is on the top right of the plot, with increasing values to the left /down. This is to highlight the correlation between the acoustic measurement and the position of the forming structure, for

The contributed package e1071 does exactly what I want except that I need to have (1) the abscissa and ordinate axes swapped, with the probability scale on the bottom and the quantiles scale on the LHS. Using the following example: library(e1071) x <- rnorm(100, mean=5) probplot(x, line=FALSE) and (2) I need to have lines connecting the plotted symbols, as you get with:

I have a rather basic background in statistics, and am looking for assistance in solving what I expect is a common type of problem. I have measurements of physical processes, and mathematical models of those processes that I want to feed the measurements into. A simple case is using measurements of electric power entering and leaving a power conversion device, sampled at regular intervals, and

#################################################################################### We have used maptools to construct state, county, township, census-tract, and zipcode level R maps with an Albers Conical Equal Area projection. We would like to be able to plot the location of weather stations or other point locations on the maps. The data the point locations are in latitude-longitude units

Seriously, if a method gives a wrong result, it's wrong. line() does NOT implement the algorithm of Tukey, even not after the patch. We're not discussing Excel here, are we? The method of Tukey is rather clear, and it is NOT using the default quantile definition from the quantile function. Actually, it doesn't even use quantiles to define the groups. It just says that the groups

Readers, For a 12 hour time stamp: > testtime<-("2013-01-01 01:00:01 PM") > testtime [1] "2013-01-01 01:00:01 PM" > testtime24hour<-strftime(testtime,'%H:%M:%S') > testtime24hour [1] "01:00:01" how to convert to 24 hour format so that the object 'testtime24hour' is: '13:00:01' Thanks. -- r2151

The R code below produces (after running for a few minutes on a decent computer) the plot shown at the following location: http://n2.nabble.com/Is-there-a-physical-and-quantitative-explanation-for-this-plot--td2542321.html I'm just taking the mean of a given set of random variables, where the set size is increased. There appears to be a quick convergence and then a pretty steady variance

My simpleminded understanding of simple regression is that when plotting regression lines for x on y and y on x in the same plot, the lines should cross each other at the respective means. But, given the R function below, abline (lm(y~x)) works fine, but abline (lm(x~y)) does not. Why? function () { attach (attitude) x <- rating y <- learning detach (attitude) plot (x, y)

Hello everyone, for some exploratory analysis I would like to compare the distribution of an observable WERT pairwise between several samples identified by STICHPROBE (which differ in size). > str(stichproben_o1o4_20080327ff[c("STICHPROBE", "WERT")]) 'data.frame': 6087 obs. of 2 variables: $ STICHPROBE: num 9 9 2 2 7 3 2 3 8 6 ... $ WERT : num 165 184

I got QQ International (version 1.0) to work via WINE under Mepis 8.5. Using winetricks, I installed all of the missing DLL's, and QQ now starts up and runs fine. ... except for the fact that it always shows me as being "Away". Even if I manually set my status to "Online", it changes me back to "Away" after a second or two. This only happens under WINE. I log in

Hi, is there any similar function in R to S function qq.loglogistic, which produces a Q-Q plot? Thanks a lot Pete

Hi, I am trying to figure out how to get the correlation coefficient for a QQ plot (residual plot). So to be more precise, I am creating the plot like this: qq.plot(rstudent(regrname), main = rformula, col=1) But want to also access (or compute) the correlation coefficient for that plot. Thanks, Tom [[alternative HTML version deleted]]

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Dear R helpers, I generate a qq plot using the following function call. qqmath(~val|ind,data=xx ,distribution=function(p) qt(p,df=19) ,ylab="Sample Quatinles" ,xlab="Theoretical Quantiles" ,aspect=1 ,prepanel = prepanel.qqmathline ,panel=function(x,y) { panel.qqmathline(y, distribution=function(p) qt(p,df=19),col=2)

Hello, I am having two data set original and predicted. I want to dind QQ-plot fot it. I tried in following manner : >qq(original~predicted) and error was : Error in qq.formula(o ~ p) : y must have exactly 2 levels There is an option "qtype" which dosent make any difference. What is the correct way for plotting QQ-plot or am I missing something. -- Amar Kumar Nandan

I would like to change the position of the major tick marks in my qq-plot? Right now the ticks are set at 5.5, 6.0, 6.5 and 7.0. I would like them to be at 5.4, 5.6, 5.8, 6.0, 6.2, 6.4, 6.8 and 7.0. So I would have to remove some of the present ticks. So far I can only add ticks to the plot with: axis(1,at=c(5.4, 5.6, 5.8, 6.0, 6.2, 6.4, 6.8, 7.0)) Is there a solution to my