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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 = v, untf = untf, ...) : plot.new has not been called yet With the same result. Pls advise what does it mean? How to re...

...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) object cannot be coerced to type 'double' Any ideas what I need to change to make this work? > # Run random effects regression with subject specific slopes. > fitxx<-lme(value~time,random=~1|subject,data=repeatdata,na.action=na.omit) > summary(fitxx)...

...s with Rstudio now. I have been experiencing difficulty with the abline function. No matter I call it directly in linear regression or call it through residual plots, or plot results from lasso regression, it produces the same error as the following: Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : object 'C_abline' not found Could you please help me check what is this problem? Thanks for your time! Best, Jia Xu Citi Research

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]]

...y 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) abline(b=0.031, a=0,col="green",untf=T) Other people did the same kind of analysis with their data and found the regression coefficients of 0.0235 (red line) and 0.031 (green line). Regression with my own data, though, yields a slope o...

...alculate 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 has not been called yet* *met_eco_deg* and *met_eco_bet* are the two objects generated from igraph package. I don't get any error when I just use the plot function. Can anyone help me out ?Thanks in advance. Regards, Anupam Sinha [[alternative HTML version delete...

...rge <- na.omit(data.frame(kX,kY,kT)) for (z in (length(converge$kT))) {abline( a=tan(converge$kT[z]*pi/180), b=converge$kY[z]-tan(-converge$kT[z]*converge$kX[z]*pi/180) )} I think the missing data are causing the problem; this happens when I run: Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : 'a' and 'b' must be finite

...s 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="") abline(70, -0.25, -.1, untf=F) plot(xs,ys, log="y") abline(70, -0.3, -.1, untf=T) dev.copy2eps(file="abline.ps") -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help&q...

...(music) = c(2, 4) dimnames(music) = list(Age = c("Old", "Young"), Education = c("High", "Low", "Upper", "Lower")) mosaic(music, keep_aspect_ratio=FALSE) abline(h=0.5) Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet ======================================================== Thank you, Sang Chul

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

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?

...o 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 on how to do this would be appreciated. Best, Suzette Suzette Blanchard, Ph.D. Assistant Professor, Dept. of Biostatistics City of Hope 1500 East Duarte Rd Duarte, CA 91010-3000 ph: (626) 256-4673 ext:64446 sblan...

...h 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) dev.copy(which=3) ## Add details to copy, write to disk and view abline(v=5) Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet Can someone tell me how to do this correctly? Thanks a lot, Dan

...scale. I tried two approaches the standard plot function and ggplot. # Plot with ggplot ggplot()+ geom_point(aes(b1,a1,data=data1))+ geom_abline(aes(intercept=coef(model)[1],slope=coef(model)[2]))+ scale_y_log()+ scale_x_log() # Plot with standard plot plot(b1,a1,log="xy") abline(model,untf=T) abline(model,untf=F) 1) The regression lines are different for plot vs. ggplot(transformed or untransformed). So what is actually the correct line? 2) The regression line was calculated on basis of log(x+1), but the log scale on my axis is just simple log (without +1). So how are such cases u...

...)", "Exendin\n(9-39) (n=8)"),mgp=c(3,4,0), axisnames=TRUE, ylim=c(0,10000), col=c('grey88','grey71'), axes=FALSE, lwd=2, space=.5) axis(2, at=c("0", "2000", "6000","10000"), lwd=2, font=1.7, pos=-.025,cex.axis=2) abline(h=0, untf=FALSE, lty=1, lwd=2) arrows(.4, 8297.291, .4, 6284.284, code=3, angle=90, lwd=2) arrows(.16,7071.79,.16,4377.585, code=3, angle=90, lwd=2) Thanks all! -- View this message in context: http://r.789695.n4.nabble.com/Misplacement-of-Greek-letter-tp2251294p2251294.html Sent from the R help mailing l...

...fects(Clean.label),ask=FALSE, alternating = TRUE, ylab="Probability of Rating", xlab="City",main="Cleanliness Ratings by City", factor.names=FALSE, ticks=c(0.1,0.2,0.3,0.4,0.5,0.6)) abline(h=c(0.1,0.2,0.3,0.4,0.5,0.6)) Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet Less bothersome is the fact that the tick marks weren’t modified to 0.1, 0.2, 0.3, etc. Further searching brought the panel.abline command to light, but that didn’t produce any results, not even an error message. > plot(allEffects(Clean.labe...

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

...tted, but not the text/coefficients. Using one of the R examples, example(pairs), I have got this far: panel.myfitline<-function(x, y, digits=2, prefix="", cex.cor, ...) { res<-panel.smooth(x,y, col.smooth="blue", ...) reg <- coef(lm(y ~ x)) abline(coef=reg,untf=F) const<-format(reg[1], trim = FALSE, digits = NULL, nsmall = 0, justify = "left", ...) const<-paste(prefix, const, sep="") slope<-format(reg[2], trim = FALSE, digits = NULL, nsmall = 0, justify = "left", ...) slope<-paste(prefix, slope, se...

...nes of the simulated data. Therefore, I have placed the code within the loop of the simulation. This works fine for points(), I can watch the additional points being added to the plot as the simulations run. However, when I include abline() it gives this error: "Error in abline(a, b, h, v, untf, col, lty, lwd, ...) : 'a' and 'b' must be finite" I can take the code as written and place it outside of the loop and it works fine, plotting the points and regression line for the data of the last run of the simulation. And as I said I can plot all of the points f...

...ALSE, noglo=FALSE, nogpa=FALSE, nope3=FALSE, + nogno=FALSE, noexp=FALSE, nonor=FALSE, nogum=FALSE, + nouni=FALSE) Error in plot(lmr$limits, xlab = xlab, ylab = ylab, type = "n", font.lab = 2) : object "lmr" not found > grid() Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet > par(xpd=TRUE) > legend(1.15,1.05,c("LmL*","GEV","GLO","GNO","GPA","PE3","EXP","GUM","UNI","N"), lty=c(1,2,1,2,2,1,NA,NA,NA,NA),col=c(8,1,6,4,...