search for: datapoint

Hi there. I have the following graph: http://www.nabble.com/file/p10928148/map.jpg However, some datapoints occur at the same place as other datapoints and are so layered on top of each other. I would like to know if there is any possible way in which I could view those datapoints that are layered on top of each other ...maybe by rotating using latitude to show the datapoints underneath (but then is tha...

It is known that function bkde2D (package "KernSmooth") returns a matrix of density estimates over the mesh induced by x1 and x2. In Details it is written that "... heights of the kernel, scaled by the bandwidths, at each datapoint are summed. This sum, after a normalization, is the corresponding fhat value in the output". There are several questions: 1) How to calculate amount (sum) of datapoints from this fhat value? Is it a non-normalized matrix of fhat values? 2) Values in fhat matrix are greater than 1 sometimes, w...

Dear Ms and Mr R, I am seeking a visually appealing presentation of 3 variables (~30 datapoints) that are correlated and that should to into the same direction. The objective is to show that they do go in the same direction and what differences there might be while also giving an idea of the values of the variables. I had done this with simple bargraphs for 6 datapoints in the past, but for...

...o plot this data. If I do this with a simple plot(x=data$Time, y=data$V, type="l") the resulting file (I plot into postscript files) is huge and takes a long time to render, since R creates a new line segment for each timestep. Of course it makes no sense to plot more than a few hundred datapoints in a single plot. However, I don't have a good idea how to remove the "uninteresting" part of the data, i.e., the datapoints that lie very close to the lines that would be drawn by R anyway if there were no datapoint for that time value. Since the values in my simulation are constan...

...:Date = new Date(endTime * 1000); @@ -208,7 +249,10 @@ package org.ovirt.charts { dateBar = new HBox(); dateBar.setVisible(true); this.container.addChild(dateBar); + this.container.addChild(chartFrame); + this.container.addChild(XAxisLabelArea); var dataPoints:Array = dataSeries.getDataPoints(); + var maxValue:Number = dataSeries.getMaxValue(); var scale:Number = maxValue; yScale.setMax(maxValue); @@ -264,12 +308,18 @@ package org.ovirt.charts { var value:Number = dataPoint.getValue(); var bar:SingleBar...

Dear R community, I am creating large graphs with hundreds of thousands of datapoints. My usual way for output was pdf, but now I am getting file sizes of >30Mb that do not open well (or at all) in Adobe. Is there a way to reduce the resolution or get rid of overlaying datapoints? Any other idea is also warmly welcome! Thank you and wishing you a good day! Georg. **************...

...s the command: mygeeglm<- geeglm(outcome ~ input , data=mydata, id=mydata$group) Third, my explanation (the dataset is pasted at the very bottom) - initially, mydata$input was an ordered factor, with levels "Med", "Low", "High" BUT the data did not contain any datapoints with value "Med" (yes, I know I shouldn't have used that as input!). I'm pretty sure the absence of datapoints in that first category is what's causing the crash, because when I change the levels of the factor to reflect the datapoints remaining (levels "Low&quo...

...abc[[i]]) = TRUE however I get error messeges such as: Error in function (classes, fdef, mtable) : unable to find an inherited method for function "coordinates<-", for signature "integer" and I do not know what this means. I will then want to then go on to overlay such: datapoint = data.frame(x = 10, y = 20) coordinates(datapoint) = ~x+y gridded(datapoint)=TRUE value<-as.list(1:100) for (i in 1:100) value [[i]]= abc[[i]]@data[overlay(abc[[i]], datapoint),] then I will have a list of 100 "value" for each original dataframe I would be appreciative if someon...

...all, here is my situation In my experiment, I expose 10 subjects to 24 different conditions of stimuli. Each condition is exposed to the same subject 3x. This would make each subject have 24x3=72 data points. All the subjects combined would have 72x10=720 data points with each condition having 30 datapoints. To find the grand average of each condition, I find the average of all the datapoints for a given condition. To find the SD for each condition, if I use the raw dataset (720 datapoints) it would not reflect the SD across subjects. Therefore, I compute the average for each condition per subject...

...Cbind(normSlope,normLwr,normUpr)|fGroup, groups=fEpoch, pch=c(17,15,19), col=c(3:1), scales = list( y = list(relation = "sliced",axs = "r", alternating = 0,tick.number=10), x = list(tick.number = 6) )) It ALMOST does exactly what I. There are six small graphs, and each datapoint has a unique value on the y-axis (integers), but once I try to change the y-axis tick labels to the list containing the names of each datapoint (characters), it lists only the first 10 names for all 6 graphs -- that is, it repeats the names, so they are no longer unique and are also mislabeled. I...

Thanks, Martin. Based on my previous post, I thought of a more general formulation of my question that I think would be helpful to ask here. What's the best way to build an R object that links multiple datapoints about different people? I mean, I happen to have datasets that have individual gene expression data tied to individual patient characteristics (how long they survived, age, gender, and other things). But if I were a baseball statistician wanting to link individual batting data to individual base...

...fam3 3.5 m 9 fam3 2.5 m 10 fam3 2.9 m 11 fam3 5.6 m 12 fam3 4.4 f 13 fam10 1.1 f 14 fam10 1.2 f 15 fam10 2.9 f 16 fam10 2.2 f 17 fam10 4.7 m I can nicely plot the age distribution by families with > stripchart(famdata$age~famdata$family) I would like to plot datapoints according to the sex of the person, e.g. circle for a girl and square for a boy, like this: > stripchart(famdata$age~famdata$family, pch=ifelse(famdata$sex=="m", 22, 1)) But this command doesn't work as I expected. Datapoints from fam2 are shown as squares, all the rest as circl...

Hello, I'm currently using a simple plot to visualize some mean values. I'm having ~200 datapoints on the x-axis, each has 10 records. I'm currently plotting only the mean value of each of the datapoints. What I need is a way to visualize the quartiles/error/whatever of these points. I thought about boxplots, but I have to many points on the xaxis - it would be impossible to see anything....

I am trying to do something in R and would appreciate a push into the right direction. I hope some of you experts can help. I have two distributions obtrained from 10000 datapoints each (about 10000 datapoints each, non-normal with multi-model shape (when eye-balling densities) but other then that I know little about its distribution). When plotting the two distributions together I can see that the two densities are alike with a certain distance to each other (e.g. 50 units...

Hi I have to time series with a different time base. The first has only sporadic datapoints: 2011-02-01 15.29130 2011-02-08 17.60278 2011-02-15 17.99737 2011-02-22 25.43690 The other has a daily datapoint: 2011-02-01 342.34 2011-02-02 68.45 2011-02-03 130.47 2011-02-04 129.86 2011-02-05 81.98 2011-02-06 77.30 2011-02-07 81.38 2011-02-08 139.95 2011-02-09 124.40 ...etc. In Excel, it is...

...#39; /usr/lib/ruby/1.8/benchmark.rb:293:in `measure'' /vendor/rails/actionpack/lib/action_controller/benchmarking.rb:53:in `render'' /vendor/rails/actionpack/lib/action_controller/base.rb:636:in `render_to_string'' I use render_to_string(:partial => ''datapoint'') to render the individual datapoints; whats odd is that render_to_string isnt working after redirect_to and render(). If I move the data-dump before these, it works fine and no errors appear. But whatever, although the error is just plain wrong and should not happen(there''s no...

Hi, In the getGraphicsEvent function the (x,y) co-ordinates returned from the mouse move are in relation to where the mouse is located within the device window (i.e. the lower left corner of the window is '(0,0)', the upper right is '(1,1)'). Is there a way of returning the (x,y) co-ordinates of data points plotted where instead of x and y being the actual data points they are

Andrew Purtell wrote: > I routinely fetch the latest LLVM and LLVM-GCC4 and recompile, perhaps every few days or so. I've not had success in some cases building LLVM-GCC4 on a Gentoo Linux host, for perhaps the last week or so. My system compiler is GCC 4.1.1. > > > cc1: /usr/src/llvm/llvm/include/llvm/Target/TargetInstrInfo.h:151:const llvm::TargetInstrDescriptor&

Dear All I am reposting because I my problem is real issue and I have been working on this. I know this might be simple to those who know it ! Anyway I need help ! Let me clear my point. I have huge number of datapoints plotted using either base plot function or xyplot in lattice (I have preference to use lattice). name xvar p 1 M1 1 0.107983837 2 M2 11 0.209125624 3 M3 21 0.163959428 4 M4 31 0.132469859 5 M5 41 0.086095130 6 M6 51 0.1808...

...s the system would boot from the local disk. Now the system will hang after the timeout. The only visual difference I can discern is that when the system properly boots I see a message briefly indicating the PXE boot rom had exited properly. Now with version 6.02 It hangs just before that. Another datapoint, I reverted back to version 6.01 and the problem seems to be resolved. Final datapoint, if you hit "enter" instead of waiting for the timeout (using version 6.02) it will boot properly My basic question is what is right place to report this issue to the project? Best regards, Cory Fair