similar to: 2 plots with different scales in the same graphical window

Dear Miss R, I wish to plot three datasets on completely different scales into one single plot. Until now I use a complicated procedure, converting the data of the second and third set into coordinates of the first plot and then adding an extra axis. Is there a way to do this more simply...? Thanking you and wishing you all an excellent Sunday! Cheers, Georg. ************************* Georg

Hello, Could anyone tell me how to plot data on two different scales in the same axis in the same plot? Here is my quandary: The range of my X axis runs from 0 to 10, but the majority of my meaningful data lies between 7 and 10. The data from 0 to 7 is essentially noise. Is there a way for me to present my data such that the range from 0 to 7 takes up a smaller amount of space on the graph

Is there a way to create barplots with pairs of bars plotted on 2 different scales (i.e some bars would be plotted according to the scale on the y-axis on the left and other bars plotted according to a different scale on the right axis)? Thank you, Jeremy [[alternative HTML version deleted]]

Hi, I have my data in below format. position var1 var2 2 .1 10 3 .29 89 12 .56 100 425 .34 1234 6546 .12 21 .... ..... ..... .... ..... ......

Please read this first: http://www.perceptualedge.com/articles/visual_business_intelligence/dual-scaled_axes.pdf It's a reasoned discussion of why it's a bad idea and proposes some alternative methods. Another good article is: K. W. Haemer. Double scales are dangerous. The American Statistician, 2(3):24?24, 1948. People have been advising dual-axis plots for (at least) 60 years! Hadley

Dear List, I have the code below adapted from the lattice-package examples to draw two spheres. I would now like to give both different surface colors, e.g. one red and one blue. ## 3-D surface parametrized on a 2-D grid n <- 10 tx <- matrix(seq(-pi, pi, length.out = 2*n), 2*n, n) ty <- matrix(seq(-pi, pi, length.out = n) / 2, 2*n, n, byrow = T) xx <-

Oh sorry. An example say lots more than words. The data below, when submitted to twoord.plot return the mentioned error. Rain are bars and Salt lines, the bars appear and the error occurs with the salt data. Point Rain Salt Fev/03 365.6 13 Mar/03 235 18 Abr/03 115.1 18 Mai/03 47.4 18.75 Jun/03 112 15 Jul/03 156.8 17 Ago/03 66.1 15 Set/03 149.8 14 Out/03 167,1 11.5 Nov/03 269.3 17.5 Dez/03 283.7

Sorry to reply to myself here, but I had an idea regarding "issue #2" -- possibly what makes the most sense for those clients/targets is to pull the pointer difference computation/reapplication into RS4GC itself -- it could have a pass just before or after rematerialization, which runs based on a configuration flag (eventually to be driven by GCStrategy), which performs rewrites like

Thanks, I think that's a useful way to look at it (though if I wanted to bikeshed I'd suggest the name "DoubleIndirect" as a bit more precise than "VeryIndirect"). An aspect of it that I'm still puzzling over is that my target runtime (at least in its current form) doesn't have a way to represent/process a "VeryIndirect" pointer. So I'd like to

Everyone, I have an array of integer values which are located on a uniform 2-D grid. I want to plot the integer values at the node locations. The closest I have come is with the following code: for (i in 1:ny) { for (j in 1:nx) { ncell <- nx*(i - 1) + j ch <- as.character(ncount[ncell]) tx <- j*dx - dx/2 ty <- ny*dy - (i-1)*dy - dy/2 points(tx, ty, pch = ch, col =

Hi Everyone, I have two different data set in 2 different scale. I want to plot these two data in the same plot in their respective scale. So the plot will have 2 different scale. I have added an image below to show how it should look. does any bode has any idea how this can be done. 2 different y scale in same plot..?? http://r.789695.n4.nabble.com/file/n2528661/2scale_ovelay.jpg Thanks in

The langref says for the 'add' instruction: Syntax: <result> = add <ty> <op1>, <op2> ; yields {ty}:result <result> = nuw add <ty> <op1>, <op2> ; yields {ty}:result <result> = nsw add <ty> <op1>, <op2> ; yields {ty}:result <result> = nuw nsw add <ty> <op1>, <op2> ;

Hi Evan, > LValue LV = EmitLV(lhs); > bool isVolatile = TREE_THIS_VOLATILE(lhs); > unsigned Alignment = expr_align(exp) / 8 > > It's using the alignment of the expression, rather than the memory > object of LValue. can't you just use expr_align(lhs) instead? > The patch saves the alignment of the memory object in LValue returned > by EmitLV().

Hello all, This is a general question regarding type conversion: from: <ty>** to: [<size> x <ty>]* >From what I understand, bitcast is wrong in this case because a GEP into a <ty>** should be computed differently from a GEP into [<size> x <ty>]*. So, what is the correct way to perform this type conversion? Thanks, Siddharth -- Sending this from my

Introduction: We would like to add new keyword to 'sdiv'\'udiv' instructions i.e. 'no-overflow'. This is the updated solution devised in the discussion: http://lists.llvm.org/pipermail/llvm-dev/2017-October/118257.html The proposed keywords: "nof" stands for 'no-overflow' Syntax: <result> = sdiv nof <ty> <op1>,

Hi Mon Ping, Generalizing shufflevector would be great. I have an additional suggestion below. On 29-Sep-08, at 11:11 PM, Mon Ping Wang wrote: > I am proposing to extend the shuffle vector definition to be > <result> = shufflevector <n x <ty>> <v1>, <n x <ty>> <v2>, <m x i32> > <mask> ; yields <m x <ty>> > > The

Hi R experts, I'm using the xyplot function in lattice to draw a multipanel plot consiting of 5x6 scatterplots. Now I need to link single points in each of those scatterplots (=panel),but the points, that need linking are different for each panel. I tried to use the panel.segments function for that, but I can't address each panel separately. Links right for panel 1, show up in all other

Hi, I am trying to create a function for a goodness-of-fit test for the Pareto Distribution for some loss data that I have. So far I have the following: function(X=OTOL) { n <- length(X)-1 #calculated the number of values (extra as 0 included) i <- 2:640 #values of i j <- 1:639 #values of i-1 Y <- (n-j+1)*((X[i])-(X[j])) #First part of GoF model Y } Where OTOL is the ordered loss

Hi Baptiste, On Fri, 2007-01-05 at 09:44 +0100, Baptiste Lepilleur wrote: > I just want to make sure I understand the semantic of the icmp function > correctly as assumption are dangerous in this domain. > > The syntax is specified as follow: > <result> = icmp <cond> <ty> <var1>, <var2> ; yields {bool}:result > > But I can not find the

I just want to make sure I understand the semantic of the icmp function correctly as assumption are dangerous in this domain. The syntax is specified as follow: <result> = icmp <cond> <ty> <var1>, <var2> ; yields {bool}:result But I can not find the documentation for <ty>. Is the following interpretation correct: Both <var1> and <var2> are