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    <p>This answer is mainly in reply to comments by @java_xof. The reply is too long and includes code so it will not fit in a comment. However, it may help with the original question as well (or at least give a starting place).</p> <p>Here is a function and some code using it (it requires the tcltk and tkrplot packages):</p> <pre><code>library(ggplot2) library(tkrplot) TkPlotLocations &lt;- function(FUN) { require(tkrplot) cl &lt;- substitute(FUN) replot &lt;- function() eval(cl) tt &lt;- tktoplevel() img &lt;- tkrplot(tt, replot, vscale=1.5, hscale=1.5) tkpack(img) tkpack(xfr &lt;- tkframe(tt), side='left') tkpack(yfr &lt;- tkframe(tt), side='left') xndc &lt;- tclVar() yndc &lt;- tclVar() xin &lt;- tclVar() yin &lt;- tclVar() tkgrid(tklabel(xfr, text='x ndc'), tklabel(xfr, textvariable=xndc)) tkgrid(tklabel(yfr, text='y ndc'), tklabel(yfr, textvariable=yndc)) tkgrid(tklabel(xfr, text='x inch'), tklabel(xfr, textvariable=xin)) tkgrid(tklabel(yfr, text='y inch'), tklabel(yfr, textvariable=yin)) iw &lt;- as.numeric(tcl("image","width", tkcget(img, "-image"))) ih &lt;- as.numeric(tcl("image","height",tkcget(img, "-image"))) cc &lt;- function(x,y) { x &lt;- (as.real(x)-1)/iw y &lt;- 1-(as.real(y)-1)/ih c(x,y) } mm &lt;- function(x, y) { xy &lt;- cc(x,y) tclvalue(xndc) &lt;- xy[1] tclvalue(yndc) &lt;- xy[2] tclvalue(xin) &lt;- grconvertX(xy[1], from='ndc', to='inches') tclvalue(yin) &lt;- grconvertY(xy[2], from='ndc', to='inches') } tkbind( img, "&lt;Motion&gt;", mm) invisible() } x &lt;- runif(25) y &lt;- rnorm(25, x, 0.25) plot(x,y) par()$pin par()$plt TkPlotLocations(plot(x,y)) qplot(x,y) par()$pin par()$plt TkPlotLocations(print(qplot(x,y))) qplot(x,y) + xlab('Multi\nline\nx\nlabel') par()$pin par()$plt TkPlotLocations(print(qplot(x,y) + xlab('Multi\nline\nx\nlabel'))) </code></pre> <p>Defining the above function, then running the following lines will produce 3 plots of the same random data. You can see that the results of <code>par()$pin</code> and <code>par()$plt</code> (and other parameters) are exactly the same for the 3 plots even though the plotting regions differ in the plots.</p> <p>There will also be 3 new windows that have popped up, in the windows you can move the mouse pointer over the graph and at the bottom of the window you will see the current location of the pointer in normalized device coordinates and in inches (both from the bottom left corner of the device region). You can hover the mouse pointer over the corners of the graph (or any other part) to see the values and compare between the 3 graphs.</p> <p>This may be enough to answer at least part of the original question (just not programatically, which would be more useful). The functon can be modified to print out other measurements as well. I may expand this and include it in a package in the future if others would be interested.</p>
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    1. COSorry but cannot reproduce your code at my R because qplot isn't available for R 2.15.2; nevertheless calling par()$pin every time I resize my plot gives me what I want which is the size of plot area (height x width), and again in my opinion - the solution I've given is simple and accurate so still I don't understand why u give my answer minuses - it's only the matter of calling plotting function and par()$pin in that particulate order, the you must call dev.off() and again plotting function, par()$pin
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    2. CO@java_xof Uh...`qplot` is a function in the package **ggplot2** which is most definitely available for R 2.15.2. You might try installing that package, since it's what the OP is asking about.
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    3. CO@java_xof, As mentioned the `qplot` function is from the ggplot2 package which I thought was implied to be loaded from the original question. I have edited the code to explicitly load it now. You could also replace the calls to `qplot` with the code from the original question and you would see the same thing. Even if you just do a base plot and the original `ggplot` in graphics devices side by side you can see that the plot regions are not the same, but `par()` reports the same things since the grid graphics functions do not update the information that par depends upon.
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