search for: constist

...n the rows of x'. Is there any way to say to that your data are already a similarity matrix (triangular)? In Kaufman and Rousseeuw's FORTRAN implementation (1990), they showed an option like this one: "Maybe you already have correlations coefficients between variables. Your input data constist on a lower triangular matrix of pairwise correlations. You wish to calculate dissimilarities between the variables." But I couldn't find this alternative in the R implementation. I can not use foo <- as.dist(foo), neither daisy(foo...) because "Dissimilarities will be computed be...

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

...ge up until now. As mentioned in the header, I run into problems when trying the following: grid <- akima::interp(M$AM,M$Irradiance,M$PR, duplicate="mean"); Error in interp.old(x, y, z, xo = xo, yo = yo, ncp = 0, extrap = extrap, : scales of x and y are too dissimilar M$Irradiance constists mostly of 3 digit integers, whereas M$AM of decimal numbers. Now, is there another function like interp that can handle this? I could not find a clue in the doc. Should I look deeper into the doc? Maybe transform the y axis? Additionally, I was told in a previous post to include a working exampl...

...to that your data are already a similarity / / > matrix (triangular)? / / > In Kaufman and Rousseeuw's FORTRAN implementation (1990), they showed an / / > option like this one: / / > "Maybe you already have correlations coefficients between variables. / / > Your input data constist on a lower triangular matrix of pairwise / / > correlations. You wish to calculate dissimilarities between the / / > variables." / / > But I couldn't find this alternative in the R implementation. / / > I can not use foo <- as.dist(foo), neither daisy(foo...) because / / &...

...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 m...

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 webmai...

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 optimizers and insertions in register allocators) 2) After an insertion all std::vector<MachineInstr*>::iterators...

...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...

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