similar to: Datapoints underneath datapoints Problem

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

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

Hi, I managed to make R core dump (linux and Mac OSX versions), but I think I've figured out why. First, here's the message I get on core dump (on linux - no message on Mac): R: ../inst/include/tnt/fmat.h:529: TNT::Vector<T> TNT::matmult(const TNT::Fortran_Matrix<T>&, const TNT::Vector<T>&) [with T = double]: Assertion `A.num_cols() == x.dim()'

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,

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. **********************

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

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

Hello, I am trying to plot age distribution data for a certain condition that runs in families. Below is a simplified view of the dataset, i.e. in this case there are four families, each line corresponding to one individual with age at diagnosis and sex. > famdata family age sex 1 fam1 2.1 f 2 fam1 2.3 f 3 fam1 1.0 m 4 fam2 7.3 f 5 fam2 4.1 f 6 fam2 1.2 f 7

Hi 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

Hello, I have simulation results in the form of Time V I 0.000000000000e+000 7.218354344368e-001 5.224478627497e-006 1.000000000000e-009 7.218354344368e-001 5.224477718002e-006 2.000000000000e-009 7.218354344368e-001 5.224477718002e-006 4.000108361244e-009 7.218354344368e-001 5.224478627497e-006 8.000325083733e-009

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

Hi- I am trying to find a way to diffuse GIS data on a European map. I have a dataset consisting of particular locations scattered across Europe, along with magnitude and value information. I can plot these as discrete points with something like the following: "geocode" is a dataframe with four columns: LAT; LONG; MAGNITUDE;VALUE. library(maps) library(mapdata)

Hi there. I am still trying to get the RSVGTipsDevice to work, yet I can not. I have copied the first example from RSVGTipsDevice documentation: library(RSVGTipsDevice) devSVGTips("C:\\svgplot1.svg", toolTipMode=1, title="SVG example plot 1: shapes and points, tooltips are title + 1 line") plot(c(0,10),c(0,10), type="n", xlab="x", ylab="y",

Hello. I have a 2d plot which looks like this: http://www.nabble.com/file/8242/1.JPG This plot is derived from a file that holds statistics about each point on the plot and looks like this: a b c d e a 0 0.498 0.473 0.524 0.528 b 0.498 0 0 0 0 c 0.473 0

I have a column of 1000 datapoints from the normal distribution with mean 2 and variance 4. How can I get a histogram of these observations with 20 bins with each bin having 50 observations? -- Thanks, Jim. [[alternative HTML version deleted]]

Hi all, I am plotting some data, and use text() to get variable names next to points on the graph. What is the best way to make sure that these text labels are readable and not overlapping when two datapoints are close? I've tried using jitter(), but the effect is random and doesn't always give a good result. Any suggestions would be most appreciated. Best regards, Gustaf Example:

Hi. I try to load iplots using the following commands > library(rJava) > library(iplots) but then I get the following error: Error in .jinit(cp, parameters = "-Xmx512m", silent = TRUE) : Cannot create Java Virtual Machine Error in library(iplots) : .First.lib failed for 'iplots' What do I have to do to correct this? Thanks -- View this message in context:

Hi, I am new to this mailing list. Didn`t find the answer in the archives. But I guess, there are people out there, who know the solution: In an automatic script, I want to produce simple plots. First I prefer pdf, because of scalability and standardization. But when I have too many datapoints (say 300.000) the viewing and printing is very, very slow. So I decided to take some bitmapped format

Hi everyone, I have a dataset that contains depths measurements every 30 sec for several days. The subset of data that I am working on looks like this: Date Day Depth 18442.00 29 41.0 18442.00 29 43.5 ... 18442.04 29 40.3 18442.04 29 35.1 ... 18443.00 30 16.5 ... Since my data is collected

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 fairly