similar to: A question on the abline function

I am trying to plot the results of a random effects model where each subject is allowed to have his, or her, own intercept. I use xyplot to plot the data, lme to compute the regression and then try to put a summary regression line on the xyplot. As can be seen by the output pasted below, I am getting an error message, Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : (list)

Dear R-users, I am using R(a package igraph) to calculate certain topological features of networks. When I try to draw a plot between these features I get an error. Following is the code I am using : *> plot(met_eco_deg,met_eco_bet) > lmout<-lm(met_eco_bet ~ met_eco_deg) > abline(lmout) Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new

Hi folks, Win7 64bit R 1.12.0 I run following command on R:- > ToothGrowth > attach(ToothGrowth) > plot(dose,len) > matrics=lm(len~dose) > abline(metrics) Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet Only a grey diagram is displayed without content > plot(abline(metrics)) Error in int_abline(a = a, b = b, h = h, v

I really want to do this: abline( a=tan(-kT*pi/180), b=kY-tan(-kT*pi/180)*kX ) where kX,kY and kT are vectors of equal length. But I can't do that with abline unless I use a loop, and I haven't figured out the least unelegant way of writing the loop yet. So is there a way to do this without a loop? Or if I am to resort to the loop, what's the best way of doing it considering that I

I have a data vector x. When I try qqline(x) I get the following error: Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet And a blank plot appears. Can anybody help? What am I doing wrong? Thanks, Scotty _________________________________________________________________ Contest [[alternative HTML version deleted]]

Hi, I want to have a horizontal line on a mosaic plot with "vcd" package. This would give me an idea where is 0.5 proportion in a cell. Using "mosaicplot" function of "graphics" package, I can draw a line using "abline." But, with "mosaic" function of "vcd" package, I have tried to use "abline" function, which complains

Hello, I am not having success in a simple task. Using the effects package, I would like to add reference lines at probability values of 0.1 – 0.6 on a plot of the effects. The plot command works, but following up with an abline command produces the message “plot .new has not been called yet”, and of course the reference lines were not added. Looking through past R help lists, there was a

I'm working over an ssh connection without X11 graphics. I'm making a plot, the first stage of drawing which takes a long time. I want to experiment with adding details. Here is what I was hoping to do, which results in error. ## Draw the master plot on png dev 2 png(file="master.png") plot(1:10) ## Save a copy on png dev 3 png(file="copy1.png") dev.set(2)

I would like to add two horizontal lines representing acceptible drug levels to a trellis plot. I tried using abline and I get an error that "plot.new has not been called." See below. xyplot(FK~WEEK|Event1/MRN, data=FKdat.o1) abline(h=5) abline(h=10) Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet Any help that can be provided

Full_Name: Stephen Eglen Version: 1.4 OS: Redhat Linux 7.1 Submission from: (NULL) (128.252.204.36) abline() produces a spurious line in addition to the correct line, at least with the X11 driver. The postscript file generated also has nan values in it, which causes an error under ghostscript. xs <- c(0, 150, 300) ys <- c(75, 40, 23) par(mfrow=c(1,2)) plot(xs,ys, log="")

Hello, I have a basic question. Sorry if it is so evident.... I have the following data file : http://ekumen.homelinux.net/mydata.txt I need to model Y~X-1 (simple linear regression through the origin) with these data : load(file="mydata.txt") X=k[,1] Y=k[,2] aa=lm(Y~X-1) dev.new() plot(X,Y,log="xy") abline(aa,untf=T) abline(b=0.0235, a=0,col="red",untf=T)

if I want to specify y-coordinates for the heights of horizontal lines to go across a plot. x <- c(1,2,3,6,4,8,4,7) y <- c(3,2,7,4,5,4,5,6) h <- c(3,5,7) plot(x,y) abline(y=h) However I got error message: Warning message: parameter "y" couldn't be set in high-level plot() function (I tried abline(h=y) , it;s not what I want also) Do u know why?

Thanks in advance, I have searched and read the archives extensively and have been unable to find a question (solution) exactly mimicking my problem. I have created a scatterplot simulation of data through which I have drawn a linear regression in this manner: points(y~x, pch="*", col="black") lm(y~x) fm=lm(y~x) abline(fm, col="red") This works. The problem

Hello, I'm trying to plot a fitted lm() line on a plot when the one explanatory variable is log transformed and log="x". I get different lines using abline and predict.lm(). #Example x <- 1:100 y <- rnorm(100) plot(y ~ x, log="x") abline(lm(y ~ log(x))) lines(x, predict(lm(y ~ log(x))), lwd=2) I'm sure I'm missing something but could someone tell me which

Hello, I've some questions concerning log-transformations and plotting of the regression lines. So far as I know is it a problem to log-transform values smaller than 1 (0-1). In my statistics lecture I was told to do a log(x+1) transformation in such cases. So I provide here a small example to explain my questions: # Some example data for testing a1

Dear Sir I am getting errors in using following R code for L-moment ratio diagram Help in this regard > "plotlmrdia" <- + function(lmr, + nopoints=FALSE, + nolines=FALSE, + nolimits=FALSE, + nogev=FALSE, + noglo=FALSE, + nogpa=FALSE, + nope3=FALSE, + nogno=FALSE, + noexp=FALSE, + nonor=FALSE, +

Hello. I am trying to get my axis label to read as follows (The symbol) Delta AUC blah blah... then below it...(some other text) The problem is the Delta symbol shows up beside the "(some other text)" rather than the "AUC". Does any one know how I can get the Delta to remain beside AUC? Here is the actual command should you care to look at it. par(mar=c(8,8,4,4))

Hi, First of all, thanks for the efforts of all the developers and contributors - I'm very new to R and at the moment am just using it to create some graphics, but it seems to be quite powerful. I've googled the archives and wasn't able to find anyhting that dealt with this problem, so would appreciate any suggestions/tips. In a pairs plot I'd like to plot a linear regression line

Hi, I have several questions regarding the letor module,I looked at the framework of learning to rank in xapian http://rishabhmehrotra.com/gsoc/17.png, I am a little confused. Why using deep learning to find unsupervised features in test data? Since in my understanding, learning to rank model usually learn features from the training data then apply the model to the test data? Why test set and

Hello, if I do: x <- c(0.5,1,3,6,10,20,40) y <- 10-log(x)+rnorm(7,0,0.05) r1 <- lm(y ~ log(x)) plot(log(x),y) abline(r1) # I get a nice plot with the regression line almost over the points. but: plot(x,y,log="x") abline(r1) gives me exactly the same plot for the points but the regression line is completely off ! I would like the plot with the real values of X on