search for: constistently

Hi, I'm trying to use a similarity matrix (triangular) as input for pam() or fanny() clustering algorithms. The problem is that this algorithms can only accept a dissimilarity matrix, normally generated by daisy(). However, daisy only accept 'data matrix or dataframe. Dissimilarities will be computed between the rows of x'. Is there any way to say to that your data are already a

Hi, I want to change my running software raid1 from ext2 to ext3. I'am currently running RH 7.1 with 2.4.18. The raid constist of two 40GB disks on a seperate UDMA Controller (HPT370). The system is installed on another disk. Can I just use tune2fs -j /dev/md0, or do need to rebuild the raid from scratch with ext3? Many thanks for your help! Regards, Ingo

Dear R users, I want to do a fitted.contour plot of selected columns of a dataframe M with M$AM and M$Irradiance as x and y axes respectively. The level of the contour shall be determined by M$PR. Some words on my data first. Dataframe M looks like: head(M$Irradiance) [1] 293 350 412 419 477 509 head(M$AM) [1] 2.407 2.161 1.964 1.805 1.673 1.563 head(M$PR) [1] 70.102 72.600 75.097 80.167

Hello, I would like to use my own dissimilarity matrix in a PAM clustering with method "pam" (cluster package) instead of a dissimilarity matrix created by daisy. I read data from a file containing the dissimilarity values using "read.csv". This creates a matrix (alternatively: an array or vector) which is not accepted by "pam": A call

...9 and noticibly faster for the lower modes. And I'm glad to say that there were no verify errors and the decoded WAVs compared exactly to the originals every time. The range of ratios ranged from 0.20 for some jazz tracks (quiet Ella Fitzgerald stuff) to 0.78. The hardest stuff to encode was constistently by the band Dream Theater (the ultimate in progressive rock), even harder than death metal like Cannibal Corpse. Classical, jazz, chant were almost always below 0.5. Rock, techno, world music usually fell in the range 0.5-0.7. A ratio of 0.2 like with some of the jazz and classical tracks means...

Hi, I'm planning on a new mail infrastructure which constists of multiple 'frontends' running webmail & public access pop/imap, which would communicate over imap/pop to 'backend mail stores'. My original idea was to run dovecot on the backends, use a predition on the frontends to proxy imap/pop and also run imapproxy in front of webmail [squirrelmail]. I've since

Hi all, Two days ago MachineBasicBlock got ilistified. What does this mean and how does it affect you? Read on. MachineBasicBlock used to have a std::vector<MachineInstr*> to represent the instructions it constisted of. This representation has the following problems: 1) O(n) insertions/removals to/from anywhere but the end of a basic block (removals are very comomn in peephole

...r modes. And JC> I'm glad to say that there were no verify errors and the JC> decoded WAVs compared exactly to the originals every time. JC> The range of ratios ranged from 0.20 for some jazz tracks JC> (quiet Ella Fitzgerald stuff) to 0.78. The hardest JC> stuff to encode was constistently by the band Dream JC> Theater (the ultimate in progressive rock), even harder JC> than death metal like Cannibal Corpse. Classical, jazz, JC> chant were almost always below 0.5. Rock, techno, world JC> music usually fell in the range 0.5-0.7. A ratio of JC> 0.2 like with some of t...

Greetings, I am reasonably experienced with R but I recently tried to do some clustering using the "cluster" package, in order to see if it would help. I only tried this once with the 1.3.1 version and it worked (I don't quite remember which method I used). Now, I tried with the 1.4.0 version and no clustering function seems to work with matrices that contain NAs, even though