similar to: 3d cloud plot with point size reflecting variable value

Hi, i want to plot figure like this, http://www.cis.hut.fi/projects/somtoolbox/download/pics2/shotvs2_colorcode.png So is there a function or package in R can help me to do this. Any suggestion will be appreciated. Thanks in advance Jiantao Shi [[alternative HTML version deleted]]

Dear list, I read the SOM package manual but I don't understand how to perform (for example) 1) the SOM analysis on Iris data 2) with a visualization similar to that of figure 7 in http://www.cis.hut.fi/projects/somtoolbox/package/papers/techrep.pdf Any suggestion? Thanks in advance, Gianandrea -- View this message in context:

Hi All, I was using the following command for performing kmeans for Iris dataset. Kmeans_model<-kmeans(dataFrame[,c(1,2,3,4)],centers=3) This was giving proper results for me. But, in my application we generate the R commands dynamically and there was a requirement that the column names will be sent instead of column indices to the R commands.Hence, to incorporate this, i tried using the R

Dear R users, Following some of the recent questions and discussions about the R plotting abilities, it occurred to me again that it would be very valuable to have an R graph gallery. Eric Lecoutre made a very nice example in: http://www.stat.ucl.ac.be/ISpersonnel/lecoutre/stats/fichiers/_gallery.pdf It would be very useful to many beginners, but probably also advanced users of R, to have an

Hi all, I'd be grateful for your help. I am a new user struggling with a barplot issue. I am plotting categories (X axis) and their mean count (Y axies) with barplot(). The first call to barplot works fine. I remove records from the dataframe using final=[!final$varname == "some value",] I echo the dataframe and the records are no longer in the dataframe. When I call plot again

Hi Everybody, I am a newbie in R. I have a data in the form of a matrix which I want to make some 3D plots using R. There is some functions for instance hist() for 2D plots, but I cant find any function for 3D plots. Is there any function available in R for 3D plots? If so, is there any documention available on internet so that I can go through. With regards, Soumyadeep

I am currently working on a code which clusters attributes from a data set, then uses a linear regression model to predict NA values in the data set. The code works for almost all cases, but then errors out on a case that seems like it should work the same. This is the line of code that is giving me the problem: NewClusterData[j,att] <- predict(cl,newdata =

Hi, I am using function wireframe from package lattice to draw a 3D surface. I would like to add a few points on the surface. I read in a post from Deepayan Sarkar that "To do this in a wireframe plot you would probably use the panel function panel.3dscatter". Does someone have an example? When calling panel.3dscatter with only x, y and z arguments I get "argument

First, apologies for no example data but I don't think it's needed in this case, Q: Can (and if so how ) the line end style be changed for 'cloud' plots? I've tried par(lend=2), trellis.par.set(add.line = list(lend=2)) and much googling but to no avail Thanks in advance Dan P.S. the reason for this is that the round end looks bad at lwd=3 or more Daniel Alcock Malaria

Hi all, I'd like to plot a set of data (x,y,z) as 3D-cloud, and add several line plots to the same 3D graph: Two questions: 1) How do I connect points to get a line? > cloud(z~x*y,data=d,zlim=c(0,1)) # works > cloud(z~x*predict(l),data=d,zlim=c(0,1),type="l") # type="l" doesn't Warning message: type = l not implemented, consider using

Hello R-classicist won't like the following question due to there's no minimal reproducible example and the question was posted already. Anyway I'm not able understand this rather complicated version of "add points to wireframe". what I have is matrix 3x2000 with a dem<-(x,y,z, coordinates) (not provided). with follwing code I want to produce the wireframe and add some

Is there an easy way to programatically work out the associations on a model? If not, is there a positive reason it was omitted, or is it just something that hasn''t been implemented yet? Thanks Gareth

Dear expeRts, recently I asked for a nice way to re-program a problem without using control constructs such as "for" or "sapply(1:length(x), ...". Is there a way to program a random walk with a reflecting boundary without resorting to such constructs? A working solution is ranwalk <- function(length, bound) { k <- cumsum(sample(c(-1, 1), length, replace=TRUE))

On Wed, Aug 07, 2019 at 09:57:02PM +0530, bharath paulraj wrote: > Hi Team, > > I am doing a small testing and I don't know if my expectation is correct or > not. Pardon me if I am ignorant. > I created a VM and the VM is running. In the hypervisor I have created > ".img" file and attached this .img file to the VM. > My expectation is that, if VM is writing

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hi I am facing the following issue: I have the following dropdown, in the new view select_tag "experience[]", options_for_select([[less_than_1_year, [0,1]],[between_1_and_3_years, [1,3]],[between_3_and_5_years, [3,5]],[between_5_and_7_years,[5,7]], [between_7_and_10_years,[7,10]], [above_10_years,[10,50]]]) The selected value of the user is not getting reflected in the Edit view of

1. What are you trying to do? I'm trying to mount qcow2 using guestfish -remote, modify the qcow2 and reuse the modified qcow2. 1. What exact command(s) did you run? I have attached code.txt 1. What was the precise error or output of these commands? While remounting the qcow2 I'm not able to see the modifications I have made to the qcow2 during initial mounting. May I know

Hello List! I asked this before (with no solution), but maybe this time... I'm trying to project a surface to the XY under a 3d cloud using lattice. I can project contour lines following the code for fig 13.7 in Deepayan Sarkar's "Lattice, Multivariate Data Visualization with R", but it fails when I try to "color them in" using panel.levelplot. ?utilities.3d says there

I am moving this from r-help to r-devel. Based on offline communications with Jim, suppose dat is defined as follows: set.seed(123) dat <- data.frame(ID= c(rep(1,2),rep(2,3), rep(3,3), rep(4,4), rep(5,5)), var1 =rnorm(17, 35,2), var2=runif(17,0,1)) # Then this ave call works as expected: ave(dat$ID, dat$ID, FUN = function(x) seq_along(x)) # but this apparently identical calculation

Either wallclock time, uptime or time since client connection can be reflected back to the client in a big endian binary structure. $ nbdkit reflection time --run 'nbdsh --connect $uri -c "sys.stdout.buffer.write(h.pread(12,0))" | hexdump -C' 00000000 00 00 00 00 5d 8f 24 c7 00 04 24 01 \ | / / $ date --date="@$(( 0x5d8f24c7 ))" Sat