similar to: clustering fuzzy

After ordering the table of membership degrees , i must get the difference between the first and second coloumns , between the first and second largest membership degree of object i. This for K=2,K=3,....to K.max=6. This difference is multiplyed by the Crisp silhouette index vector (si). Too it dependending on K=2,...,K.max=6; the result divided by the sum of these differences I need a final

#Mdarts is a matrix 2343x788 #frequencia is a vector 2343x1 # 9 in Mdarts[fri,frj] stands for my missing values which i want to replace by the value in the vector frequencia Mdarts<-t(matrix(scan("C:/GWS/CNB/dartg.txt"),ncol=nindT,nrow=nm, byrow=T)) frequencia <- matrix(scan("C:/GWS/CNB/freq.txt"),ncol=1) for (fri in 1:nindT){ for (frj in 1:nm){ Mdarts[fri,frj] <- if

Dear all, I am a stata user and I am moving my first steps in R. I am dealing with a silly issue concerning looping over variables. I read previous posts on similar topics in the R help archive, but I did not find a solution. Here is my case: I run a simple bivariate linear regression saving the output in objects called: pd.memb.0, pd.memb.1, pd.memb.2, pd.memb.3 pd.memb.0 <- lm(E.fs.memb ~

Hello R-listers, I'm having trouble accessing "sub" objects ("attributes"?), e.g., "x$silinfo$avg.width" using the /get() /command; I'm using/ get()/ in a loop as illustrated in the following code: #FIRST MAKE CLUSTERS of VARYING k /for (i in 1:300){ assign(paste("x.",i,sep=""),pam(x,i)) #WORKS FINE }/ #NEXT, TAKE LOOK AT AVE.

Dear all, I have been working on an idempotent version of apply, such that applying a function f(x) = x (ie. force) returns the same array (or a permutation of it depending on the order of the margins): a <- array(1:27, c(2,3,4)) all.equal(a, iapply(a, 1, force)) all.equal(a, iapply(a, 1:2, force)) all.equal(a, iapply(a, 1:3, force)) all.equal(aperm(a, c(2,1,3)), iapply(a, 2, force))

What fun. I don't often stoke up the boiler and actually compile open-source code, but here I am at the beginning of just such a joyous and wondrous adventure. I'm running the latest level of AIX (V5.3...V4.3 has been obsolete for at least, what, 5 years) and using the IBM compiler (xlc is similarly obsolete, from back when the compiler came with the O/S...oh, for the halcyon days of

Dear all, I am trying (without much success) to use the fuction 'silhouette'. Would anyone encountered that before (or would know where I am wrong ?) Please find below the R ouput. Thanks in advance, L. > s <- silhouette(ct, as.dist(metric)) Error in "[<-"(*tmp*, iC, "sil_width", value = s.i) : number of items to replace is not a multiple of replacement

> Can you explain why you were unable to add a small unit test to the testsuite? This is the case I have. ****** r3 = memb(r1+#1) r4 = memb(r1+ #0) .. .. { p0 = r3 /* Should almost never emit this. */ p1 = r4 /* Should almost never emit this. */ .. .. p0 = or(p1, p0) ***** The CHECK tags I have are ; CHECK: [[IntReg0:r[0-9]+]]

Hi list, When I was using 'silhouette' from the 'cluster' package to calculate clustering performances, R crashed. I traced the problem to the fact that my clustering labels only have 2's and 3's. when I replaced them with 1's and 2's, the problem was solved. Is the function purposely written in this way so when I have clustering labels, "2" and

Hello, I'm developing a llvm backend. It seems that, if i16 is not a legal type (no register can hold i16 types in RegisterInfo.td and as a RegisterClass in SelLowering.cpp), i16 should be promoted to i32. Nonotheless, this simple program: int main(){ volatile short a; a= 3; return 0; } which is trasformed in this IR: define i32 @main() nounwind readnone { entry: %a = alloca i16,

HI R users With clara function I get a data frame (maybe this is not the exact word, I'm new to R) with the following variables: > names(myclara) [1] "sample" "medoids" "i.med" "clustering" "objective" [6] "clusinfo" "diss" "call" "silinfo" "data" I want to

Hi folks, I'm finally tired of dealing with floppy disks to control our remote installs and thought that PXELINUX sound like a great way to go. However, I've got multiple hurdles and I'd like some advice before I get myself dug in too deep... We currently have Solaris Jumpstart and Windows RIS running in the department and now we would like to intermix Linux PXELINUX booting. Any

Hello, I'm still trying to setup RIS (Remote Installation Service -w2k) with PXE Linux, but before that I must say that the mail list archive is a _good_ idea. Back to RIS. When I start from pxelinux memdisk initrd=risbootdisk.img I get an error: No UNDI Driver found. The risbootdisk.img is a bootdisk from Microsoft, which starts a RIS installation. When I boot from floppy it works fine,

We are thinking of using pxe boot with a windows ris server to start off a Centos 4 install. Does anyone know if this is possible? Thanks Dean

Hello all, I am wondering if there is a way to do a spatial error probit/logit model in R? I can't seem to find it in any of the packages. I can do it in MATLAB with Gibbs sampling, but would like to confirm the results. Ideally I would like to use this model to predict probability of parcel conversion in a future time period. This seems especially difficult in a binary outcome model

Hi, The ocfs2 package compiled perfectly, but tools did not. The test setup is using opensuse10.1 - updates applied For "ocfs2-tools-1.2.2": In file included from include/ocfs2.h:60, from alloc.c:32: include/ocfs2_fs.h: In function ?ocfs2_fast_symlink_chars?: include/ocfs2_fs.h:566: warning: implicit declaration of function ?offsetof? include/ocfs2_fs.h:566: error: expected

I was trying to use memory.size() to determine whether a code loop I am executing created a memory leak, since one replicate of the simulation takes 670.98 seconds according to proc.time(), while 5 replicates takes 170762 seconds. So I set it up as: memA <- memory.size() looping code... memB <- memory.size() memA returns as 9.3, and memB returns 11.3. I'm not familiar with

Dear R users and experts, I am current running a program (a series of commands) in R. such as: A <- as.matrix(read.table("C:/LP.txt")); a=which(memb==q); b=a; B=as.matrix(A[a,b]) LS=sum(B)/2; TL=sum(A)/2 i<-c(1:NN); D=sum(A[a,i]); how can i obtain the CPU time used for these commands ? I have seen the system.time function but i am not sure how to use it. Could anyone help

On Thu, Sep 13, 2012 at 1:14 PM, Pranav Bhandarkar <pranavb at codeaurora.org>wrote: > Just adding to the clamor for FileChecks ability to pattern match > out-of-order (match for mere presence); Just in the last 2 weeks, I have > come across at least a couple instances when I was unable to add small unit > tests to the testsuite because of this deficiency in FileCheck. Also, I

Hello, I would like to install a Windows 2000 Server and configure it with RIS (remote installation services). The server is in a domain where a Samba 3 server, a machine with SuSE Linux and Samba 3.0.20b-3.4-SUSE, plays the PDC role. The PDC works well. When I try to configure RIS in the application wizard (appwiz.cpl) of that Windows 2000 Server machine, it tells me that the setup for RIS