search for: analyi

Hello, In SPSS the cluster analysis output includes an agglomerations schedule, which details the stages when cases are joined. Is it possible to obtain such output when performing cluster analysis in R? If so, I'd appreciate advice regarding how to obtain this information. Any assistance is appreciated, Regards Bob

Hello, Dr. Viechtbauer. I am trying to perform a meta-analyis on a group of before-after studies using Metafor. I read your webpage including your correspondence with Dr. Dewey (https://stat.ethz.ch/pipermail/r-help/2012-April/308946.html), who also conducted a similar study. These information is very hepful, but I have one additonal question which I wonder...

My objective is to look at differences in two species of fish from morphometric measurements. My morphometric measurements are head length, eye diameter, snout length, and measurements from tail to each fin. I want to use discrimanant function analyis to determine if there are differences between the two species. I am familiar with R but new to discrimannt function analysis. I want to learn how to run this analysis in R. My internet search has not been very successful. I did see refrence of the linear discriminant function (lda) in R but...

..._else() } } But the reported BPI is reported as 50/50 to whether do_something will be called, but we can see with our human eyes that this should be 99%. So two questions: - why is BPI used to enable the transformation? - would it not be more useful for BPI to use something like inductive range analyis to calculate the probability? And if so, what else could make use of it? To me, InductiveRangeCheckElimination feels like it should be separated out into an analysis and the transformation. - or have I misunderstood how and what BPI does? Thanks, sam Sam Parker Compilation Tools Engineer | Arm...

...ls=c(rep('A',4),rep('B',4),rep('C',4))) > d A B levels 1 77 40 A 2 14 18 A 3 56 7 A 4 46 27 A 5 63 35 B 6 80 21 B 7 3 54 B 8 93 76 B 9 5 46 C 10 16 53 C 11 40 17 C 12 25 31 C I need to run anova analyis on the group in levels against the merge data in the first two columns. I can manually split and join the different columns as in > d.t <- rbind(data.frame(value=d[,1],ind=d[,3]),data.frame(value=d[,2],ind=d[,3])) but I was wondering if there would be a more elegant and easy way than that...

[ I'm teaching log-linear models at present, and looking at Agresti's book. ] Often when producing analyis of variance or analysis of deviance tables it is important to get effects fitted in a specific order. At present in S / R this is done as follows: anova( glm( terms(formula, keep.order=T), ...) ) Can anyone think of a reason why keep.order should not become an argument to "lm" and &qu...

...Mac OS. The following is the error message that I get. I do not get this message if I break down the large dataset in to sub datasets. I think breaking up the dataset is not a sustainable solution in the long run. The data that I am analysing is essentially big, and it would be reasonable to do the analyis on the whole dataset without even considering to partition it. So I was really wondering if you could give me a clue about how to handle this problem. model6 <-lm(logintens~ factor (slide) + factor(ind) + factor(dye) + factor(id)*factor(l6) + factor(rep)-1, data=sample_data2) *** malloc: vm_...

..._else() } } But the reported BPI is reported as 50/50 to whether do_something will be called, but we can see with our human eyes that this should be 99%. So two questions: - why is BPI used to enable the transformation? - would it not be more useful for BPI to use something like inductive range analyis to calculate the probability? And if so, what else could make use of it? To me, InductiveRangeCheckElimination feels like it should be separated out into an analysis and the transformation. - or have I misunderstood how and what BPI does? Thanks, sam Sam Parker Compilation Tools Engineer | Arm...

...appropriate debug stop point intrinsic and then use it to look up the information for that instruction. Here is some sample code from SAFECode that finds the debug information associated with a CallInst (LLVM call instruction) held in the variable CI. It uses the findStopPoint() function in llvm/Analyis/DebugInfo.h: // // Get the line number and source file information for the call. // const DbgStopPointInst * StopPt = findStopPoint (CI); Value * LineNumber; Value * SourceFile; if (StopPt) { LineNumber = StopPt->getLineValue(); SourceFile = StopPt->getFileName(); }...

...appropriate debug stop point intrinsic and then use it to look up the information for that instruction. Here is some sample code from SAFECode that finds the debug information associated with a CallInst (LLVM call instruction) held in the variable CI. It uses the findStopPoint() function in llvm/Analyis/DebugInfo.h: // // Get the line number and source file information for the call. // const DbgStopPointInst * StopPt = findStopPoint (CI); Value * LineNumber; Value * SourceFile; if (StopPt) { LineNumber = StopPt->getLineValue SourceFile = StopPt->getFileName(); } --...

...Multinomial and Multivariate Probit Multivariate Mixtures of Normals Hierarchical Linear Models with a normal prior and covariates Hierarchical Multinomial Logits with mixture of normals prior Bayesian analysis of choice-based conjoint data Bayesian treatment of linear instrumental variables models Analyis of Multivariate Ordinal survey data with scale usage heterogeneity after installing the package, use help.search("mcmc") to display the key functions. bayem implements the models discussed in our book, Bayesian Statistics and Marketing To view a draft of the book visit http://gsbwww.u...

I previously asked a question about performing archetypal analyis in R. In addition to the responses I received from r-help, the author sent me some S code to peform the analysis. With the author's permission, I ported the S code to R using two excellent sets of instructions: (1) From the FAQ - 5.5 How can I create an R package? (2) Thomas Lumley's inst...

Hello, I'm trying to do some correspondence analyis, with R, of course (by correspondence analysis, I'm refering to JP Benz?cri's methods, in case there might be some other thing with a similar name) I've found a couple of tools refering to C.A in the existing packages : ca() in package multiv and corresp()/mca() in MASS. MASS tools lo...

Hello Alexander I doubt that such an analyis is very useful as the data is not sampled synchronously (equity close in the US for ^gspc and even that is not always at the same time, some average price from Oanda data). Also fx data from others sources as suggested in another mail on this list would not really help with this unless it is r...

...Multinomial and Multivariate Probit Multivariate Mixtures of Normals Hierarchical Linear Models with a normal prior and covariates Hierarchical Multinomial Logits with mixture of normals prior Bayesian analysis of choice-based conjoint data Bayesian treatment of linear instrumental variables models Analyis of Multivariate Ordinal survey data with scale usage heterogeneity after installing the package, use help.search("mcmc") to display the key functions. bayem implements the models discussed in our book, Bayesian Statistics and Marketing To view a draft of the book visit http://gsbwww.u...

Dear All, I would like any information about lacunarity analyis in R.  Does anyone know if the sliding-box lacunarity analysis of Allain and Cloitre (1991) or Plotnick et al. (1996) has been implemented by anyone in R?  Or any R package useful for that?  I have seen anything in R mail list files.  Thanks, Fernando C. Allain C. and M. Cloitre, 1991. Phys. R...

...a solution: # data ID <- c(1:100) set.seed(21) y <- rnorm(100, 10,2) x1 <- rnorm(100, 10,2) x2 <- rnorm(100, 10,2) x3 <- rnorm(100, 10,2) x4 <- rnorm(100, 10,2) x5 <- rnorm(100, 10,2) x6 <- rnorm(100, 10,2) mydf <- data.frame(ID,y, x1,x2, x3, x4, x5, x6) # just seperate analyis require(nlme) mod1<- lme(fixed= y ~ x1 + x2, random = ~ 1 | ID) # i want to put subject / ID as random is it correct?? m1 <- anova(mod1) m1 [1,4] # I am not getting exact value below <.0001???, how to get one? m1 [2,4] m1 [3,4] # putting in a loop for(i in length(mydf)){ mylme <- NUL...

...s, i want to do a CAPM-GARCH model. I didn?t find anything posted online. (If there is something - shame on me - i didn?t find it.) My Problem: What is the difference if I let the residuals ?e? follow a garch process ? How do I do my regression analysis now? I began reading about regression analyis with heteroscedasticity, but didn?t get it. So i started programming. First loading data with quantmod and applying a function to get continously compounded returns and squared returns. Looks good - stylised facts seems to be covered. Starting with GARCH: I use a GARCH(1,1) but will use it...

On 2009-07-09 11:17, Aaron Gray wrote: >>> -----Original Message----- >>> From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] >>> >> On >> >>> Behalf Of Saman Aliari Zonouz >>> Sent: Thursday, July 09, 2009 11:44 AM >>> To: llvmdev at cs.uiuc.edu >>> Subject: [LLVMdev] Source file

>> -----Original Message----- >> From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] > On >> Behalf Of Saman Aliari Zonouz >> Sent: Thursday, July 09, 2009 11:44 AM >> To: llvmdev at cs.uiuc.edu >> Subject: [LLVMdev] Source file information. >> >> Hi, >> >> I am new to LLVM, and need to find the line number