Hi there, I was hoping you could help me out with the following: - I am trying to compute the diagram of a Rips filtration built on top of a point cloud. I've gone through several tutorials, and I always get the same answer as the tutorial. Let's say I am inputting an n by d matrix of coordinates, where n is the number of points in d dimensional space, I am able to get a persistence diagram with dimensions 0, 1, and 2-- when I specify maxdimension=2. HOWEVER-- I was wondering; if you input an N BY N matrix of distances of n points, say a 15 by 15 matrix, which is what I am working with, I can't ever see any 2 dimensional features, or 1 dimensional-- the diagram always shows dim0, no matter what matrix I input. The code I have been using is as follows: Diag<-ripsDiag(XX, maxscale, dist="arbitrary", printProgress=TRUE), where XX is the name of my distance matrix. Is it not possible to ever extract dim 1 or dim 2 features from this? Even though I specified maxdimension=2. Could someone please help me out, as this is causing great grief. In the tutorial I found online by cran project, they input a distance matrix for a triangle with lengths 1,2, and 4; they specify maxdimension=1, maxscale=5, and input the same as I did above; they only get dim0 features on the diagram... wouldn't we expect the loop of the triangle to be a key feature? If not, either way, would we not expect to see dim1 and dim2 noise features at all? Thanks so much! -- View this message in context: http://r.789695.n4.nabble.com/R-package-TDA-RipsDiag-issues-tp4709925.html Sent from the R help mailing list archive at Nabble.com.