similar to: Domain not reachable.

On 2/23/2020 2:54 PM, TomK via samba wrote: > On 2/23/2020 11:44 AM, Rowland penny via samba wrote: >> 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

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.

Hi, I am trying to create 3 mds plots: one with axis 1 vs axis 2, one with axis 2 vs axis 3, and one with axis 1 vs axis 3. When inputting my code, I only end up with one diagram and when inputting mdsg.mds$dims, the program returns 2 for 2 dimensions. How can I create the other two plots? Any help would be greatly appreciated, Calla Carbone The table I use is number of each taxa on each

Hey Guy's, When the user is 'joe at mds.xyz' login works fine on Win 10. Same user types on a Mac OS gives [ Mac OS - Fails ] [2020/02/21 00:03:16.960566, 5, pid=12382, effective(0, 0), real(0, 0), class=auth] ../source3/auth/auth_util.c:126(make_user_info_map) Mapping user [mds.xyz]\[joe] from workstation [SERVER-PBM] [ Win 10 - Works ] [2020/02/20 23:58:01.059514,

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 am trying to mount a lustre filesystem thru an ib2ip gateway. The MDS''s have infiniband connections. The client nodes are tcp/ip connections. I am able to route between the client nodes and the MDS''s. I have the following in /etc/fstab: abe-mds1 at o2ib0,abe-mds2 at o2ib0:/home/client /abehome lustre _netdev,flock 0 0 I get the following when trying

Dear R list Would anyone be able to tell me whether it is possible to do "enhanced multidimensional scaling" (enhanced MDS) in R? In other words, something that goes beyond "cmdscale" by iteratively improving the fit between observed dissimilarities and inter-object distances, using the KYST algorithm (Kruskal, 1964). I have found several implementations of non-metric MDS

Hi R users, I am trying to assign ages to age classes for a large data set (123,000 records), and using a for-loop was too slow, so I wrote a function and used apply. However, the function does not properly assign the first two classes (the rest are fine). It appears that when age is one digit, it does not get assigned properly. I tried to provide a small-scale work-up (at the end of the

Hello, I can draw a basic stress plot for NMDS with the following code in package Vegan. > stressplot(parth.mds, parth.dis) When I try to specify the line and point types, it gives me error message. > stressplot(parth.mds, parth.dis, pch=1, p.col="gray", lwd=2, l.col="red") Error in plot.xy(xy, type, ...) : invalid plot type In the above code, if I removed line type,

Hello, R-Help - I am trying to plot the results of an ordination from package vegan. The tricky part for me right now is getting the colors of the ellipses denoting the 95% confidence intervals of the group centroids to match the colors of the points for those same groups. >From and earlier post, I saw the code to make a plot of the ordination using different colors for my different groups.

I'm looking for someone to explain the difference between these procedures. The function prcomp() does principal components anaylsis, and the function cmdscale() does classical multi-dimensional scaling (also called principal coordinates analysis). My confusion stems from the fact that they give very similar results: my.d <- matrix(rnorm(50), ncol=5) rownames(my.d) <-

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

Hi R experts, I'm looking for some help with plotting vectors from envfit in vegan, onto a 3d plot using ordiplot3d. So far I have data.mds <- metaMDS(data, k=3,trace = FALSE) vect_data<-envfit(data.mds,vegdata[,3:21],choices=1:3,permu=9999) ordiplot3d(data.mds,envfit=vect_data) ordixyplot(data.mds,pch=pts,envfit=vect_data) (my data's not really called data, I thought it might be

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

Dear All, I am in the somewhat unfortunate position of having to reproduce the results previously obtained from (non-metric?) MDS on a "kinship" matrix using Statistica. A kinship matrix measures affinity between groups, and has its maximum values on the diagonal. Apparently, starting with a nxn kinship matrix, all it was needed to do was to feed it to Statistica flagging that the

OK, so our old MDS had hardware issues so I configured a new MGS / MDS on a VM (this is a backup lustre filesystem and I wanted to separate the MGS / MDS from OSS of the previous), and then did this: For example: mount -t ldiskfs /dev/old /mnt/ost_old mount -t ldiskfs /dev/new /mnt/ost_new rsync -aSv /mnt/ost_old/ /mnt/ost_new # note trailing slash on ost_old/ If you are unable to connect both

Dear all, I'm completely new to R and at first I must say that it is a great program! But I have a problem with the function isoMDS from the MASS package. I have this code which I load with source() from a file: x <- c(163.59514923926784, 150.01448475257115, ...... {here are some more values}) x.sort <- sort(x) x.dist <- dist(x.sort) library(MASS) x.mds <- isoMDS(x.dist)

My question is with respect to mCLUST and the values of BIC and log likelihood. The relevant part of my R script is: ######################### BEGIN MDS ANALYSIS ######################### #load data data <- read.table("Ecoli33_Barry.dis", header = TRUE, row.names = 1) #perform MDS Scaling mds <- metaMDS(data, k = Dimensions, trymax = 20, autotransform =TRUE, noshare = 0.1,

On Tue, Jan 23, 2018 at 12:44:13AM +0200, Mykola Ivanets wrote: > Filter partitioned md devices out the same way as partitioned physical devices are filtered out > --- > daemon/listfs.ml | 22 +++++++++------------- > 1 file changed, 9 insertions(+), 13 deletions(-) > > diff --git a/daemon/listfs.ml b/daemon/listfs.ml > index 370ffb4..dc424f5 100644 > ---