search for: anlysing

Hello, I have an image of a fatigue crack that I want to analyse. It is simular to a photograph of the cross section of a (non-circular) tree showing the tree rings that indicate the growth of the tree. I would like to determine the spacing of the repeated growth patterns without actually picking off individual points (there are too many). Could someone give me an indication of how I could

I am so happy about learning how to read in multiple Excel files, that I have to try and make another improvement. I know what I have been doing is clumsy, but it works. Hopefully, someone can suggest a more elegant solution. As a novice, I have been using MS-Word and mail merge to write my code. I start with about 2 pages of code, and end up with 2,220 merged pages that I copy and paste into R.

Hello R-users, First my settings: R-1.8.1, compiled as a 64bit application for a Solaris 5.8, 64 bit. The OS has 8Gb of RAM available and I am the sole user of the machine, hence pretty much all the 8Gb are available to R. I am pretty new to R and I am having a hard time to work with large data sets, which make up over 90% of the anlyses done here. The data set I imported in R, from S+, has a

On 4/5/11 11:36 AM, Nabila ABDESSAIED wrote: > > > 2011/4/5 John Criswell <criswell at illinois.edu > <mailto:criswell at illinois.edu>> > > On 4/5/11 11:22 AM, Nabila ABDESSAIED wrote: >> hi, >> I'm newer in llvm >> i would like to instrument a byte code with a pass and as a >> result i would like to get an

hi, I'm newer in llvm i would like to instrument a byte code with a pass and as a result i would like to get an instrumented byte code. i would like that a pass add a method (which calculate the number of instructions) in the end of each block. the instrumented code should contain in each block a method that calculate the number of instructions Please Help me thank you -- Nabila ABDESSAIED

Dear all, I'm writing my manuscript to publish after analysis my final data with ANOVA, ANCOVA, MANCOVA. In a section of my result, I did correlation of my data (2 categirical factors with 2 levels: Quantity & Quality; 2 dependent var: Irid.area & Casa.PC1, and 1 co-var: SL). But as some traits (here Irid.area) are significantly influenced by the covariate (standard length, SL), I