similar to: amap new version (multidimensional analysis)

Hi, I''m using heatmap.2 to cluster my data, using the centroid method for clustering and the maximum method for calculating the distance matrix: library("gplots") library("RColorBrewer") test <- matrix(c(0.96, 0.07, 0.97, 0.98, 0.50, 0.28, 0.29, 0.77, 0.08, 0.96, 0.51, 0.51, 0.14, 0.19, 0.41, 0.51), ncol=4, byrow=TRUE)

Hi, I'm trying to understand the complete linkage method in hclust. Can anyone provide a breakdown of the formula (p9 of the pdf documentation) or tell me what the "sup" operator does/means? thanks in advance Tom [[alternative HTML version deleted]]

Dear all, I have come across a very confusing matter regarding dist() supplied by the amap package: --- m is just a test matrix > library(amap) Loading required package: mva Warning message: package 'mva' has been merged into 'stats' > m a b c aa 0.1 0.2 0.3 bb 2.0 3.0 4.0 cc 2.0 4.0 6.0 dd 0.3 0.2 0.1 > ds<-dist(m,method="pearson") >

Dear R users, Version 0.7-1 of the amap package has been uploaded to CRAN. Amap package includes standard hierarchical clustering and k-means. We optimize implementation (with a parallelized hierarchical clustering) and allow the possibility of using different distances like Eulidean or Spearman (rank-based metric). We implement a principal component analysis (with robusts

A new major version of Amap package is available on CRAN. For this major release, all clustering code has been rewritten in C++. Amap implements several tools in the field of clustering and robust statistics. New features are: * clustering possible in float precision (less memory needs) * new rank-based metric: Kendall distance, use for both matrix distance computation, K-means, and

Hi there dear R users, Does anyone have any idea what the following error means and how to sort it out? Runtime Error! Program: C\Program Files\R\R-2.9.0\bin\Rgui.exe This application has requested the Runtime to terminate it in an unusual way. Please contact the application’s support team for more information. Here is the story: Running the same code, sometimes the error happens and other

Everytime I see this in the logs my internet access stops for about 5 minutes. Nothing else follows in the logs. I have DSL. Any ideas? Aug 15 17:14:56 bonsai gconfd (root-6095): starting (version 2.14.0), pid 6095 user 'root' Aug 15 17:14:56 bonsai gconfd (root-6095): Resolved address "xml:readonly:/etc/gconf/gconf.xml.mandatory" to a read-only configuration source at position

Dear Dario Sacco, >>>>> "DS" == Dario Sacco <dario.sacco at unito.it> >>>>> on Thu, 06 May 2010 17:45:30 +0200 writes: DS> Dear Dr. Maechler, DS> I am an agronomist and a researcher at the University of Turin. I am DS> also teaching "Applied statistics", then I have some knowledge in DS> Statistics, but not

Shown below is most of the FORTRAN subroutine named HCLUST. My question concerns the DO loop labeled as '10'. What happened to its CONTINUE statement? I will assume that after FLAG(I)=.TRUE. is executed that control returns to DO 10 I=1,N. Am I correct? Dave ---------------------------- C Initializations C DO 10 I=1,N C We do not initialize MEMBR in order to be able to

HI R users, I construct dendrogram tree and cut the tree into different clusters, then generate survival curves by the following three functions. All variables are included in an inputfile. Can you help me to consolidate the following three function into one functions? I thought about using if else function, but not sure how to do it. Thank you, Ding # function to generate RFS RFS2cluster

That is certainly OK, but you can also just use print(ggsurvplot(...)) as your final statement. out <- RFS( ...) would then return the ggsurvplot object *and* graph it. Any good R tutorial or a web search will provide more details on function returns, which you might find useful. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and

On 12/04/2013 12:38 AM, Christian Hesse wrote: > > Sure. Here we go: > > boot: debug -e bios_boot_linux calc_cmdline_offset > boot: ipxe.lkrn > Loading ipxe.lkrn... ok > cmdline_offset at 0x9f7e0 > Initial memory map: > Could not find location for protected-mode code > Booting kernel failed: Invalid argument > OK, that was a useful clue. I think I know what is

FAQ 7.22 You must print a ggplot object, for example with print(m52.2cluster) For the FAQ, run the line system.file("../../doc/FAQ") in R on your computer. Open up the resulting filepath in your favorite editor and scroll down to 7.22 On Sun, Jan 14, 2018 at 4:21 PM, Ding, Yuan Chun <ycding at coh.org> wrote: > Hi Bert, > > I am sorry to bother you on weekend. >

Thank you, your suggestion is simpler and logically better. I had impression that the last object in a function gets returned, so I did not add the print function at the bottom line of the function definition. Returning an object and graph the object are different process, I am a beginner for writing R function and need to find a good guide source about writing R functions. If you know a good

Dear R community, I would be greatful if somebody could shed light on the following. I have created a set of 6 points to check how centroid agglomeration works in cluster analysis: > Y <- data.frame(x=c(-1,1,1,-1,10,12),y=c(1,1,-1,-1,0,0)) It is quite intuitive to understand that the last clusters to be joined will be {1,2,3,4} with {5,6}. Now, the centroid for the first cluster has

Hi all! I collected some statistics for SwitchInst, based on our test-suite. I found that efficiency is meaningful for parser-like applications only, about 15-20% of cases may be reduced (see top 10 items in Raw sheet of attached .xls file). Below some numbers. Total number of cases in all test-suite -- 11835. Clusters possible to make -- 503 Clusters with size (H - L) + 1

Hi Richard, Thank you so much!! I understand the problem now, I assign a name to the "ggsurvplot" object and then add print(fig) at bottom of function definition, now figure gets printed on screen. Ding # function to generate RFS curves RFS <- function( inputfile, N ) { cluster<- survfit(Surv(RFS_days2, OV_Had_a_Recurrence_CODE) ~ clusters, data =

Dear R-users, I need some help concerning the plotting of dendrograms for hierarchical agglomerative clustering. The agglomeration niveau of each step should be displayed at the branches of the dendrogram. For this I need the x/y coordinates of the branch-agglomerations of the dendrogram. The y-values are known (the heights of the agglomeration), but how can I get the x-values? > mydata

Hi Stepan, These are quite interesting numbers. Thanks for running this experiment! Do you have some numbers on the difference of memory consumption and compile time (at -O0 and -O2) with and without case ranges? I think we need to see those numbers before we can decide wether it's interesting to commit to case ranges or not. Thanks, Nuno Quoting Stepan Dyatkovskiy <stpworld at

Hi Bert, Thank you, yes, you are right. I want to consolidate the three functions into one functions by adding more arguments, adding flexibility to accommodate the number of clusters or the number of Kaplan Meier curves generated in one figure. So, I just need to define one function. Thanks, Ding From: Bert Gunter [mailto:bgunter.4567 at gmail.com] Sent: Sunday, January 14, 2018 9:50 AM