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Things that were on my TODO list and have been accomplished~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ (newest 1st)o Incorporate the PAM speedup patches by Matthias Studer (unige.ch).It's based on a good paper etc---> ~/R/MM/Pkg-ex/cluster/pamonce-mail.txt---> ~/R/MM/Pkg-ex/cluster/pamonce.Ro daisy() -- now allows 'metric = "gower"'which allows to use "Gower's formula" also for theall-continuous case.The help page contains "Gower" much more visiblyo Jan.2006:Create a new silhoutte.clara(...., full = FALSE)where "full = TRUE" would compute all the silhouttes, not just those ofthe "best sample".o Dec.2005: need ./inst/CITATION for getting a nice citation()o May, 2004: New agnes(*, method = "flexible", par.method = *) to allowLance-Williams formula.o Mar, 2004: When using a NAMESPACE, can rename `..dClass' in R/0aaa.R(and *.q): Renamed to 'dissiCl'o Dec, 2003: cutree(diana(), h = h0)gives complete non-sense without a warning-- the same as in S-plus ..For R 1.7.0 :o agnes(), diana() and pam() have a new argument `keep.diss'with a smart default. If FALSE, the new behavior is *NOT* to keep thedissimilarities !--> save space in result object--> somewhat changed summary/print output , i.e. minor NON-compatibility!o a) pam()$diss is not a `proper' dissimilarity(class is only "dissimilarity", missing "dist") -> done Mo,17.3.03b) as.dist() is not generic and does too much for "dist" objects,and also for "dissimilarity" {<< these were fixed for R 1.7.0}and the completely wrong thing for thepam()$diss like "dissimilarity"s... (wrong $Size !)o plot(ylab / xlab) -- for agnes -> bannerplot() & pltree()./R/plothier.q ===> NOT DONE -- rather tell people {on the help()} touse the two underlying plot functions separately !o Robert G: " silhouette.default() is wrong "--> ok, I found this was on R-help, Feb.7 and fixed in my sources subsequentlyOct. 2002 {for "banner"; silhouette was earlier}:1) Silhouette und Banner Plot :Label vertical axis of horizontal barplot using HORIZONTAL text{i.e., par(las = 1) or axis(*, las = 1)}--> Should become an optional (but probably default)feature of barplot()!July 2002:clara(): Must have allocation(?) bug in Fortran --> ../cluster_tests/clara.R--- bug (not allocation!) found and eliminated.o all [ agnes, clara, daisy, diana, fanny, pam ] now have something likevalmisdat <- min(x2, na.rm=TRUE) - 0.5 #(double) VALue for MISsing DATabut this will go wrong as soon as min(x2) < -5e15 !!!--> now using something more sensibleo Generally: clara(), pam(), agnes(), diana(),... should *not* keep the"diss" component (with all n^2/2 dissimilarities) in the result,by default when n >= 50{i.e. get a new argument `` keep.diss = n < 50 '' }(done for 1.7.0, but default = n < 100)clara(): R/clara.q : we transpose *large* x[,] and in Fortransrc/clara.c deal with x[] as vector anyway -- change this(done for 1.7.0)May 2002:data/flower.R : Big problem: V1..V3 should be binary, i.e. 0:1man/flower.Rd : but as factors they become 1:2 !==> the example (.. type = list(asymm = 1)has probably been wrong all the time -- compare to JSS paper!--- no! the changes to cluster-1.5.1 which test these,etcgive no difference!o clusplot() -- drawing MVE ellipses (-> .Fortran("spannel",..)) :S-plus has ellipses that just exactly contain all points.whereas our ellipses are *always* slightly too large.o Provide a user functionellipsoidhull <- function(x, n = 201)= a combination of internal .Fortran("spannel",.), cov.wt() & ellipse()o man/flower.Rd : use \describe{ \item ... for the 8 variables* OLDER2) help files for plot.*()--- new arguments are in *.Rd,but not really documented.5) a more thorough test of .Fortran("spannel", *) used in clusplot(*).-> done {new ellipsoidhull() }-------------./R/daisy.q :Now that daisy objects inherit from "dist", we can use as.matrix() andother dist methods which can be *very* useful !--> also upgraded ./man/dissimilarity.object.Rd{remaining: improve our code or the examples ?!}8) Make bannerplot() an (possibly later namespace internal ?)standalone function called from both plot.agnes() and plot.diana(),even plot.mona()!