search for: overlaid

Hello all-- I'm attempting to produce overlaid histograms with partially transparent columns. Whether this display will end up being useful, I can't say. But I do want to get it right. I've already got one solution (shown below), but I tried some other versions and had questions about my results. (Note: I'm using a quartz device...

...mns (say a time stamp column and a price column) and converting that to the right time series object (including taking care of time stamp formats). Any idea how I can approach this problem? Thanks Falcon -- View this message in context: http://www.nabble.com/irregular-time-series-and-multiple%2C-overlaid-plots-tp17159961p17159961.html Sent from the R help mailing list archive at Nabble.com.

Hi, I am facing the problem that I want to plot a histogram chart set freq to true and overlay with normal or weibull or exponential distribution curve. The sample code is shown as below: >samp<-c(-8.2262,-8.2262,-8.2262,-8.20209,-8.09294,-8.07321,-8.07321, -8.07321,-8.07175,-8.04948,-8.04948,-8.04948,-8.03848,-8.03848,

Dear R help, Suppose I have a dataframe with three columns named p, v and C. Here C is a function of both p and v. I can plot the surface C(p,v) using the package lattice using the function wireframe. Now if I have another dataframe - with 2 columns named p_ind and v_ind and pind is a function of v_ind. I would like to overlay the plot of the curve p_ind, v_ind and C(p_ind, v_ind) onto my

I'd like to plot n (say n = 10) semi-transparent lines in such a way that if all n happen to exactly overlay each other, the resulting line is completely opaque. In principle, I believe that this is what setting alpha = 1/n should accomplish. In practice, different values of n produce different results. Consider the following function, which overlays n semi-transparent red lines: mylines

This is a question about optimizing the code generation in a (new) Z80 backend: The CPU has a couple of 8 bit physical registers, e.g. H, L, D and E, which are overlaid in 16 bit register pairs named HL and DE. It has also a native instruction to load a 16 bit immediate value into a 16 bit register pair (HL or DE), e.g.: LD HL,<imm16> Now when having a sequence of loading two 16 bit register pairs with the *same* immediate value, the simple approac...

Hello, first trials to run R from inside of Emacs repeatedly gives me: ---------------------------------------------------------------- > ?sink WARNING: terminal is not fully functional - (press RETURN) ----------------------------------------------------------------- Seems like this is going to happen to all help calls using a questionmark! Any idea how to change this, maybe this

I'm trying to make a set of contour plots of bivariate kernel density estimates, showing three such plots overlaid, similar to this plot http://euclid.psych.yorku.ca/SCS/Private/Test/ridge-boot2.pdf except that I would like to have the contours *filled* (using transparent colors). To make this reproducible, I've saved the results of KernSmooth::bkde2D() in the following file: http://euclid.psych.yorku....

...t calls "larrows()" with arguments constructed from my vector data. Then, when I go to do the contour plot, I call contourplot() with the "panel" argument set to point to my newly created panel function. So far, so good. Now, I need to do a series of contour plots, each overlaid with a different set of vectors. I can call contourplot(z~x*y,...) but now I'm stuck, because each contour plot will be overlaid with the *same* vector plot. This won't work because each set of contoured data has its own particular set of associated vector data. (BTW, I am not doing gra...

Hi all, I would like to use R in order to generate a Heatmap/Choropleth overlaid on the UK map. Can someone please help with finding the right package/code? Any help is much appreciated. Best, Reza [[alternative HTML version deleted]]

In the following code, the only difference between the two plots is the order the variables are plotted. In this case, the plot of "cdata.den" in plot #1 is different from its plot in #2. Specifically, "cdata.den" spans the x-axis from -5 to 30 in plot #1 and from 0 to 20 in plot #2. Does anyone understand why these two plots do not yield the same result? #Make density

People, I want to create seven plots on the one graph - each with it's own Y axis and scale - I want the plots overlaid because it is the shape of the graphs that I want to compare, not so much the values. I have found examples where people show how to put two Y axes on the left of the plot but I couldn't find examples of any more than that - is it possible? Thanks, Phil. -- Philip Rhoades GPO Box 3411 S...

I am having problems exporting a plot to a jpg file. I am first setting up a basic plot, and then opening up a viewport and overlaying grid.arrows onto the plot - I don't seem able to save this plot with the overlaid arrows to a file, can anyone offer any advice? I am using R-1.8.0 on Debian Linux. Thank you in advance, Laura

...n(y,x,dat,dat1,dat2,sbst) { plot(y~x, data=dat, subset=sbst) lines(y~x,data=dat1, subset=subst) points(y~x,data=dat2,subset=subst) } pltit(profit,weeks,dat=zone1, sbst='group==1&sales>200') Could you also suggest pointers/references/examples on efficient ways to plot simulated data overlaid with observed data? Have a good weekend! Thanx, Santosh [[alternative HTML version deleted]]

Hello, I created a 3d surface (persp) with some points overlaid on it, which is fine. Now I have a second set of z-values(x,y-values same as the first surface), which I would like to make visible on the same graph, however, not as a surface, but rather as coloured contour on the first surface, so that the resulting graph will consist of the original surface...

I use ROCR to plot multiple runs' performance. Using the sample code as example: # plot ROC curves for several cross-validation runs (dotted # in grey), overlaid by the vertical average curve and boxplots # showing the vertical spread around the average. data(ROCR.xval) pred <- prediction(ROCR.xval$predictions, ROCR.xval$labels) perf <- performance(pred,"tpr","fpr") plot(perf,col="grey82",lty=3) plot(perf,lwd=3,avg="...

...this plot in one panel. I do not want medians (bwplot, boxplot). I have tried a few different packages and it seems that ggplots with plotmeans was the fastest (I am not extremely skilled in writing my own scripts). Unfortunately, there is no grouping argument in plotmeans(). Therefore, I have overlaid three plots (plotting all stations witin year). However, as the graphs are exctly overlaid, it is not possible to distinguish the confidence intervals. How do I introduce jitter? Data2007, Data2008 and Data2009 are the dataframes with the data from that particular year including all the stations...

Hi R-Help, I would like to make filled contour maps of ocean data overlaid by costlines from the map package. I can draw the filled contours and the coastlines om the same plot, but the filled contour also covers part of the land. To get rid of that I tried to draw a filled coastline map on top of the filled contour, but the filled map only draws the closed contours - so...

...from the limitations of a large, > >> contiguous pool. > >> > > I don't know if Tegra124 is similar to 114 in this regard [hint: get the > > TRM out :)], but if you go for a dedicated VRAM allocator, wouldn't it > > make sense to take a chunk of the MMIO overlaid memory for this when > > possible, rather than carving this out of CPU accessible mem? > > This is probably a stupid question... what do you need VRAM for > anyways? In _theory_ it's an abstraction to talk about memory that's > not accessible by the CPU. This is obviously...

...odels in the archives, but maybe someone has solved it already? In short, Smart et al suggest that a logistic regression be presented as a combination of the two histograms for successes and failures (with one presented upside down at the top of the figure, the other the right way up at the bottom) overlaid by the probability function (ie logistic curve). It's somewhat hard to describe, but is nicely illustrated in the full text version above. I think it is a sensible way of presenting these results and am keen to do so - at the moment I can only do this by generating the two histograms and the lo...