search for: trasformation

Hello, I'm Carla, an italian student, I'm looking for a package to transform non normal data to normality. I tried to use Box Cox, but it's not ok. There is a package to use Johnson families' transormation? Can you give me any suggestions to find free software as R that use this trasform? Thank yuo very much Carla ____________________________________________________________ 6X

hello, i'm pete ,how can i order rows of matrix by max to min value? I have a matrix of membership degrees, with 82 (i) rows and K coloumns, K are clusters. I need first and second largest elements of the i-th row. for example 1 0.66 0.04 0.01 0.30 2 0.02 0.89 0.09 0.00 3 0.06 0.92 0.01 0.01 4 0.07 0.71 0.21 0.01 5 0.10 0.85 0.04 0.01 6 0.91 0.04 0.02 0.02 7 0.00 0.01 0.98 0.00 8 0.02

...isp 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 vector composed of the indexes for each clustering (K=2,...,K.max=6). There is a method, i think that is classe.memb, but i can't to solve problem because trasformation of the membership degrees matrix( (ris$membership) and of list object (ris$silinfo), does not permit me to use classe.memb propertyes. . ??(u?1-u?2)s?/??(u?1-u?2) > head(t(A.sort)) membership degrees table ordering by max to min value [,1] [,2] [,3] [,4] 1 0.66 0.30 0.04 0.01 2 0.89...

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, I am interested in developing some passes using the Xcode IDE. I create a pass directory with a simple pass in it, add it to the lib/Trasform/ directory, changed and added some CMakeList.txt files and compiled using cmake (cmake -G Xcode). The compilation gives me no errors but then I've found that I have not a Debug+Asserts folder and opt has no option related to my pass...what can I do

Hi all, I have a simple question: I have a data.frame like this: id x y 1 50 1647685 4815259 2 50 1647546 4815196 3 50 1647454 4815294 4 50 1647405 4815347 5 50 1647292 4815552 6 50 1647737 4815410 7 74 1647555 4815201 8 74 1647464 4815023 9 74 1646970 4815129 10 74 1646895 4815264 11 74 1646762 4815513 and I'd like to trasform it with the "convert.to.shapefile"

...s, sorry for the easy and common question. I am trying to justify the idea of RandomForest don't require a transformations (e.g. logarithmic) of variables, comparing this non parametrics method with e.g. the linear regressions. In leteruature to study my phenomena i need to apply a logarithmic trasformation to describe my model, but i found RF don't required this approach. Some people could suggest me text or bibliography to study? thanks in advance Gianni [[alternative HTML version deleted]]

Are there any XML databinding frameworks available for Ruby / Rails, such as Castor or JaXB for Java? Also are there framework such as Apache Axis for WebServices for Rails or Ruby? Regards, Harm de Laat -------------- next part -------------- An HTML attachment was scrubbed... URL: http://wrath.rubyonrails.org/pipermail/rails/attachments/20060310/3cf0cfd3/attachment.html

assuming that the rows are sorted correctly dat id x y 1 50 1647685 4815259 2 50 1647546 4815196 3 50 1647454 4815294 4 50 1647405 4815347 5 50 1647292 4815552 6 50 1647737 4815410 7 74 1647555 4815201 8 74 1647464 4815023 9 74 1646970 4815129 10 74 1646895 4815264 11 74 1646762 4815513 > list.dat<-split(dat, dat$id) > > closed.polygons<-lapply(list.dat,

Dear R experts, density estimation on a 2 dimensional bounded domain --------------------------------------------------------------------- I am currently trying to estimate the probability density (PD) of cancers within the breast using the sm library with the routine sm.density Of course a practical PD must be limited by the curve of the breast outline. I don't have a clue after perusing

Dear all, I have a function f(x) which return a list as result. $T1 [1] 0.03376190 $T2 [1] 0.04725 $T3 [1] 0.3796071 $T4 [1] 0.3713452 $T5 [1] 0.4523651 $T6 [1] 0.4575873 I now find the result for a vector of x values at one time. I want to store the reuslt for each xi value in a column of a matrix x <- seq(0,1, by=0.1) result <- matrix(0, nrow=6, ncol=length(x)) for (i in