similar to: MANOVA, SCC and multiple comparisons

Hi, I misunderstand the definition of Canberra distance in R. On Internet and in function description pages of dist() from stats and Dist() from amap, Canberra distance between vectors x and y, d(x,y), is : d(x,y) = sum(abs(x-y)/(x+y)) But in use, through simple examples, we find that the formula is : d(x,y) = (NZ + 1)/NZ * sum(abs(x-y)/(x+y)) with NZ = nb of pairs of coordinates that are

The Partek package (www.partek.com) allows only two selections for Multiple Test Correction: Bonferroni and Dunn-Sidak. Can anyone suggest why Partek implemented Dunn-Sidak and not the other methods that R has? Is there any particular advantage to the Dunn-Sidak method? R knows about these methods (in R 2.1.1): > p.adjust.methods [1] "holm" "hochberg" "hommel"

Hi, we noticed there was a error in the "arules" package. After reading the source code, we saw that the Dice similarity index was "miscalculated" in "dissimilarity" function : an copy-paste from Jaccard Index was not corrected (2* a_b_c, ie 2*(a+b+c) in the code instead of 2*a +b + c !!!). After our mail to R-help (21/11/2006), we thought the authors could do

Hi guys, I get this error when I try to edit an item in the grid: dewd@marieta:/mnt/workspace/tpl_src/src/wxruby2/samples/etc$ ruby system_settings.rb Our Initialize was called Their Initialize returned 1 system_settings.rb:245:in `get_text_extent'': No matching function for overloaded ''wxWindow_GetTextExtent'' (ArgumentError) from system_settings.rb:245 I have

Hello, I wrote the following function to compute multiple comparisons in a one way anova and randomized blocks anova. aov1 <- function(y,g,s=NULL,comp="mca",meth="Sidak") { # fun <- function(x) c(mean(x,na.rm=T),sd(x,na.rm=T),length(x[!is.na(x)])) # li <- length(unique(g)) cat(" Analysis of Variance with Multiple comparisons\n\n") cat("

Hi, we have a split-plot experiment in which we measured the yield of crop fields. The factors we studied were: B : 3 blocks I : 2 main plots for presence of Irrigation V : 2 plots for Varieties N : 3 levels of Nitrogen Each block contains two plots (irrigated or not) . Each plot is divided into two secondary parcels for the two varieties. Each of these parcels is divided into three subplots

I wonder if anyone is familiar with the priprobit software (Sakuma M. 1998. Probit analysis of preference data. Appl Entomol Zool. 33:339?34). I would like to replicate the same analysis and output in R. Of note, I want to determine the analytical sensitivity, defined as 95% cut-off value. j

I'm trying to read some web tables directly into R. These are both genome sequencing projects (eukaryotes and metagenomes) from NCBI and look very similar; however, only the first one works. http://www.ncbi.nlm.nih.gov/genomes/leuks.cgi http://www.ncbi.nlm.nih.gov/genomes/lenvs.cgi I added ?dump=selected to the end of the url string to get a tab- delimited file (which is what happens

In a previous message I was not clear enough in my querry. I have the following program: tst<- function() { x <- c(32.7,32.3,31.5,32.1,29.7,29.1,35.7,35.9,33.1, 36.0,34.2,31.2,31.8,28.0,29.2,38.2,37.8,31.9, 32.5,31.1,29.7) g <- rep(1:7,rep(3,7)) s <- rep(1:3,7) cat(" Only x and g \n") aov1(x,g) cat("\n\n Now x, g and s \n") aov1(x,g,s=s) }

On Feb 26, 2009, at 6:01 PM, Julien Lerouge wrote: > Hello, > > I have the following sequence of passes (using --debug- > pass=Structure): > > ... > ModulePass Manager > FunctionPass Manager > Preliminary module verification > Dominator Tree Construction > Module Verifier > MyModulePass0 > MyAnalysis > Basic CallGraph

Hello, I have the following sequence of passes (using --debug-pass=Structure): ... ModulePass Manager FunctionPass Manager Preliminary module verification Dominator Tree Construction Module Verifier MyModulePass0 MyAnalysis Basic CallGraph Construction MyModulePass1 MyAnalysis MyModulePass2 Basic CallGraph Construction Call Graph SCC Pass

Hi all, I have one analysis pass that I want to perform on call graph SCCs. However, for each function in the SCC, I need function-level analyses, like the dominator tree and the memory dependency analysis. I’ve been told before <http://stackoverflow.com/questions/30059622/using-dominatortreewrapperpass-in-callgraphsccpass> that these were not available from a CallGraphSCCPass. What would

https://bugs.freedesktop.org/show_bug.cgi?id=98701 Bug ID: 98701 Summary: [NVE6] Desktop freeze, fifo read fault at 0000000000 engine 00 [GR] client 14 [SCC] reason 02 [PTE] on channel 21 Product: xorg Version: unspecified Hardware: Other OS: All Status: NEW

Thanks John. Does this solve the problem of analysis availability though? If I still have to run the function analyses manually, I might as well keep rolling with the CallGraphSCCPass. (I probably should have mentioned that this is what I’m using right now.) Félix > Le 2015-05-19 à 10:12:32, John Criswell <jtcriswel at gmail.com> a écrit : > > On 5/18/15 10:45 PM, Félix Cloutier

So I got very mixed results. With the CallGraphSCCPass, both `addRequired<DominatorTreeWrapperPass>` and `addRequired<MemoryDependenceAnalysis>` fail at runtime. The LLVM core has just two CallGraphSCCPasses and neither uses neither analyses, so it's hard to find a valid example. I transformed the pass into a ModulePass, using scc_iterator as shown in CGPassManager to process

Hi, I have a model where I''m using Carrierwave to let users upload their avatars. I have one version for the avatar, cropped to a square called "cropped". class User mount_uploader :avatar, AvatarUploader end class AvatarUploader < ImageUploader version :cropped do process :crop end end In one of my pages, where I''m listing a few thousand users,

Hi, I am using R 2.9.0. It seems the documentation for the calculation of Canberra distance using stats::dist is ambiguous. Does anyone have the original definition given in the Lance & Williams paper from Aust. Comput. J. 1, 15-20, 1967? When there are zeros at certain position in both vectors, they are not omitted as documented in the function (see below). Instead, Canberra distance is

Dear all, I have a data which is in text file and i would like to import the data to R. From the manual, i?ve found the read.table command function is the most appropriate but when i wrote the command an error had occur. It say ?Error in read.table"C:/Users/user/Documents/cfa-1.txt", header = T, sep = "\t",skip=10) :more columns than column names?. Please help me with this as

Hi all, I have being using wilcox.test to test for differences between 2 independent samples. I had understood the difference in location to be conventionally the difference in the sample medians however this is not the case when implemented in R. I have tied ranks and therefore non-exact p-value and confidence intervals are calculated due to the normal approximation. But what exactly is this

taxa <- (structure(list(Date = structure(c(4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L), .Label = c("2006/04", "2006/05", "2006/07", "2006/10", "2006/12", "2007/02", "2007/04", "2007/06", "2007/08", "2007/10", "2007/12", "2008/01"), class =