similar to: PCA and MDS

Dear friends, The user coordiante system in the R graphics is easy to understand as it simply corresponds to the range of values on the axes of the plot. However, sometimes, we want to kown the coordinates of a region in other system, e.g., the normal coordinate system whose origin is the the upper-left cornner of the drawing area which is used to set the hot regions in the HTML image maps.

Dear All, I distributed the HTML style one year ago ( http://www.biosino.org/pages/newhtm/r/schtml and http://www.biosino.org/pages/newhtm/r/tchtml). Now I polished it, and rewrote it with Latex. You can download it from the URL: http://www.biosino.org/R/R-doc/ ( http://www.biosino.org/R/R-doc/files/R-intro_cn.pdf). Wish it will be useful for Chinese R users. Any

Hi, I have tried to develop multidimensional scaling for 3D space using PCA without success, yet;-) Is there some application ready in R? Cheers, Atte

Dear R help I have been trying to conduct a chi square test on two groups of variables to test whether there is any relationship between the two sets of variables chisq.test(oxygen, train) Pearson's Chi-squared test data: oxygen X-squared = 26.6576, df = 128, p-value = 1 > chisq.test(oxygen) Pearson's Chi-squared test data: oxygen X-squared = 26.6576, df = 128,

Hi, I would like to know the similarity between variables, but I don't exactly how begin and as from what dataframe or matrix! I have a matrix where in row I have 'Good', 'Medium','Bad' and in columns I have my Criterions ! What function and package should I use? Thanks a lot Sabine --------------------------------- ils, photos et vidéos ! [[alternative

# CASE 1 # The following plots a single cell or block for all three location 0,1,2. y <- rep(2,8) hist(y) # why is this a single block? hist(y,xlim=c(0,2)) # same thing hist(y,breaks=2) # same # CASE 2 # adding a different value, plots as expected y <- append(y,0) hist(y) # plots as expected In most cases of the data I have variances in the data so

Hi all, I'm trying to perform an MDS of some data that I have. When I use cmdscale everything is fine and I get some interesting results however, the tends to be low. What I wnat to do is compare this with the Non-Metric MDS using isoMDS or sammon. However, when I try using these I get the following message. Error in isoMDS(x.dist) : zero or negative distance between objects 2 and 4

Hi, every one, I have translated <An Introduction to R > into simplified Chinese and traditional Chinese. You can browse them from these two URL: simplified Chinese: http://www.biosino.org/pages/newhtm/r/schtml/index.html#Top traditional Chinese: http://www.biosino.org/pages/newhtm/r/tchtml/ I have distributed these document in HTML format. That is because there is something wrong with

Hi again Sorry, in looking again at sammon and isoMDS I see that they seem to do exactly what I want, except that they are non-metric, which means, as I understand it, that they relate the rank orders of the variables rather than the actual distances. Could I use these non-metric MDS packages even if my distances are metric? Thanks Karen -- Karen Kotschy Centre for Water in the Environment

What are the limitations on size of matrix for MDS functions? steve -- Steve Antos Priva-Technologies 847-640-9020 x3114 cell (540)409-1231 [[alternative HTML version deleted]]

If I perform PCA on the 'eurodist' data, should I get an accurate geographic layout of the cities with biplot? (barring inversions, i.e. their is no way to define north.. but you get the idea...) I have a complex distance matrix, and I am thinking about how to cluster it and how to visualize the quality of the resulting clusters. If I could 'see' the clusters in space I could

Hi, I need math function which is used in: isoMDS, Sammon and metaMDS method. Anybody know where I may find it? Any manual or webside? I would be very happy Thanks a lot ! -- View this message in context: http://n4.nabble.com/math-function-MDS-method-tp1008294p1008294.html Sent from the R help mailing list archive at Nabble.com.

Hi, I am looking for the best multidimensional configuration for my data (47*47 distance matrix). I ve tried classical metric (cmdscale) and non metric MDS (isoMDS, nmds) but it is now difficult to choose the best solution because of the uncertainties in the definitions of the "stress" function. So, same problem, several questions : 1. Statistical consideration : With

Am I missing something? I don?t see where you are using the ?@? symbol anywhere. Mac is probably interpreting the parameters ?valid users? and ?write list" (correctly, I think ;-) as a LIST of 3 users: joe, at, mds.xyz or bob, at, mds.xyz. torch

Hello All, I'm having some trouble figuring out what the clearest way to plot my k-means clustering result on an my existing MDS. First I performed MDS on my distance matrix (note: I performed k-means on the MDS coordinates because applying a euclidean distance measure to my raw data would have been inappropriate) canto.MDS<-cmdscale(canto) I then figured out what would be my optimum

On 2/21/2020 2:24 PM, Rowland penny via samba wrote: > On 21/02/2020 19:06, torch via samba wrote: >> Am I missing something?? I don?t see where you are using the ?@? >> symbol anywhere. >> Mac is probably interpreting the parameters ?valid users? and ?write >> list" (correctly, I think ;-) as a LIST of 3 users: joe, at, mds.xyz >> or bob, at, mds.xyz.

On 23/02/2020 16:05, TomK wrote: > On 2/21/2020 9:18 PM, Andrew Bartlett via samba wrote: >> On Fri, 2020-02-21 at 20:48 -0500, TomK wrote: >>> >>> >>>> >>>> "Sadly this really appears to be is a client issue.? You see there the >>>> string Samba gets, so by the time Samba tries the process it the @ is >>>> already

On Fri, 2020-02-21 at 20:48 -0500, TomK wrote: > > > > > > "Sadly this really appears to be is a client issue. You see there the > > string Samba gets, so by the time Samba tries the process it the @ is > > already interpreted and the string split. > > > > Sorry! > > > > Andrew Bartlett" > > > > Yeah, wondering if

Hi, I just encountered what I thought was strange behavior in MDS. However, it turned out that the mistake was mine. The lesson learned from my mistake is that one should plot on a square pane when plotting results of an MDS. Not doing so can be very misleading. Follow the example of an equilateral triangle below to see what I mean. I hope this helps others to avoid this kind of headache.

Hello I will be applying MDS (actually Isomap) to make a psychological "concept map" of the similarities between N concepts. I would like to scale to a large number of concepts, however, the resulting N*(N-1) pairwise similarities is prohibitive for a user survey. I'm thinking of giving people random subsets of the pairwise similarities. Does anyone have recommendations for this