search for: trasformed

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

...0.00 3 0.92 0.06 0.01 0.01 4 0.71 0.21 0.07 0.01 5 0.85 0.10 0.04 0.01 6 0.91 0.04 0.02 0.02 > H.Asort=head(t(A.sort)) > H.Asort[,1]-H.Asort[,2] 1 2 3 4 5 6 0.36 0.80 0.86 0.50 0.75 0.87 > H.Asort=t(H.Asort[,1]-H.Asort[,2]) This is the differences vector by multiplying trasformed table ris$silinfo. > ris$silinfo $widths cluster neighbor sil_width 72 1 3 0.43820207 54 1 3 0.43427773 29 1 6 0.41729079 62 1 6 0.40550562 64 1 6 0.32686757 32 1 3 0.30544722 45 1 3 0.30428723...

...#39;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, align 2 ; <i16*> [#uses=1] volatile store i16 3, i16* %a, align 2 ret i32 0 } fails to compile with the following error: LLVM ERROR: Cannot yet select: 0x181c2d0: ch = store 0x1204a08, 0...

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"

Dear Researches, 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.

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