similar to: Wilkcoxon with bootstrap

Hi everyone, I've been asked to run a number of Wilcoxon tests on some behavioral data (below is a sample). They want me to compare each trial to the first trial, considered the control trial. I know I can use brackets to index and select, for example, trial 1 vs. trial 4 (not exactly sure how to set that up either) but it would save me a ton of time if there was a way to do all the

R-users, Attached is the file (SR_use2.txt) I'd like to include and includes column headers. nat_est is the response variable and is the number of species at a particular point. The other variables are the explanatory vars (vark, var2, var1, UK, U2, U1, GK, G2, G1, PK, P2, P1). Here is Walsh's sample code for hier.part: data(urbanwq) env <- urbanwq[,2,8] hier.part(urbanwq$lec,

Dear R users, I face to a nested pattern and despite the numerous examples in the help I am still confused. I sampled bugs in different habitats within sites which were within rivers themselves within different regions. The habitat correspond to different substrata (not systematically present in all sites). For rivers and sites, I have environemental variables (e.g. altitude and slope of

Hi everyone, I've been asked to run a number of Wilcoxon tests on some behavioral data (below is a sample). They want me to compare each trial to the first trial, considered the control trial. I know I can use brackets to index and select, for example, trial 1 vs. trial 4 (not exactly sure how to set that up either) but it would save me a ton of time if there was a way to do all the

Hello all, I have created a barplot that shows change in hardwood/softwood density from 1965 to 2005 in 5 year periods (1965,1970, etc). I would like to have an X-axis where the labels for the years line up after every two bars in the plot (there is one bar for hardwood, and another for softwood). Below is my script: density<-read.table("F:\\Megan\\Vtest.csv", header=TRUE,

Hi Minas, Thanks! I wasn't aware that VMKit had the ability to generate llvm code from .class / .jar files - I thought all of its code-generation capabilities were very closely tied to the VM itself. I'll look into this. The motivation behind this project is to be able to get both the small size and fast startup times of Avian, along with the speed of llvm-generated code. Currently,

On Tue, Jul 20, 2010 at 5:35 PM, Joshua Warner <joshuawarner32 at gmail.com>wrote: > Hi Nicolas, > > I plan on using the Avian GC (which is a precise, generational collector). > OK - Great! > Eventually, I'd like to fully integrate all of the runtime services Avian > provides - even integrating the existing Avian JIT compiler, to allow for > partially-AOT

On Tue, Jul 20, 2010 at 9:52 AM, nicolas geoffray < nicolas.geoffray at gmail.com> wrote: > On Tue, Jul 20, 2010 at 5:35 PM, Joshua Warner <joshuawarner32 at gmail.com>wrote: > >> Hi Nicolas, >> >> I plan on using the Avian GC (which is a precise, generational >> collector). >> > > OK - Great! > > >> Eventually, I'd like to

Hi Nicolas, I plan on using the Avian GC (which is a precise, generational collector). Eventually, I'd like to fully integrate all of the runtime services Avian provides - even integrating the existing Avian JIT compiler, to allow for partially-AOT builds. Avian does indeed have it's own class library, but I would be very surprised if VMKit could compile with them - they are sufficiently

Hi everyone, I''m pretty new to Lucene and Ferret, so I feel that this is most likely myself not completely understanding the correct way to do this. I haved indexed ~2200 text files (of various sizes), and I am now running searches on the index to get a feel for Lucene and Ferret. In my first program, which is using Lucene I search for ''influenza'' and get the

I'm trying to use tapply to output means and SD or SE for my data but seem to be limited by how many times I can subset it. Here's a snippet of my data > stems353[1:10,] Time DataSource Plot Elevation Aspect Slope Type Species SizeClass Stems 1 Modern Cameron 70F221 1730 ESE 20 Conifer ABCO Class1 3 2 Modern Cameron 70F221 1730

Jeremy, This has nothing to do with LLVM or VMKit... but if you're interested: I've been working on a light-weight JVM called Avian ( http://oss.readytalk.com/avian/). It has a fast JIT compiler (that produces moderately good code, but no optimization). It doesn't have any .NET support currently, but given the deep similarities between .NET and Java, I think it wouldn't be a

Hi Joshua, > I'm trying to use the Java front-end (which, based on svn commits, appears > to be three-years-dead), > I'm trying to use llvm as a replacement aot compiler I'm not acquainted with the Avian JVM, but haven't you considered using VMkit llvm project, it contains .class/.jar to llvm compiler, also JIT compiler(native code compiler) and aot compiler. And

Hi Helpers: I have a factor object that has 314k entries of 39 land cover types. (This object can be coerced to characters neatly should that be easier to work with.) > length(foo) [1] 314482 > foo[1:10] [1] Montane Chaparral Barren Red Fir Red Fir [5] Red Fir Red Fir Red Fir Red Fir [9] Red Fir Red Fir 39 Levels:

Dear All, I was writing a small wrapper to bootstrap a classification algorithm, but if we generate the indices in the "usual way" as: bootindex <- sample(index, N, replace = TRUE) there is a non-zero probability that all the samples belong to only one class, thus leading to problems in the fitting (or that some classes will end up with only one sample, which will be a problem

On Tue, Jul 20, 2010 at 6:36 PM, Joshua Warner <joshuawarner32 at gmail.com>wrote: > Sure, that's one major strength of LLVM: we could decide on a runtime >> function (CallVirtualMethod) that will get lowered depending on the >> underlying VM. I don't see any difficulties in accomplishing this. >> > > Is it common practice to emit function calls that are

To the list.... -----Forwarded Message----- >From: James Mckenzie <jjmckenzie51 at earthlink.net> >Sent: Jul 28, 2010 11:43 AM >To: Bob <benjie1 at cox.net> >Subject: Re: [Wine] Hardwood Solitaire and Wine 1.2-rc7 >-----Original Message----- >>From: Bob <benjie1 at cox.net> >>Sent: Jul 28, 2010 1:43 PM >>To: James Mckenzie <jjmckenzie51 at

Dear All, I would like to make partial sums (or means or any other function) of the values in intervals along a sequence (spatial transect) where groups are defined. For instance: habitats<-rep(c("meadow","forest","meadow","pasture"),c(10,5,12,6)) observations<-rpois(length(habitats),2)

Hi, I am new in statistics and i manage to make the linear model analysis but i have some difficulties in explaining the results. Can someone help me explalinig the output of my linear model analysis ? My data are with 2 variables habitat (e,s) and treatment (a,c,p) with multiple trials within. Thank you in advance Call: lm(formula = a$wild ~ a$habitat/a$treatment/a$trial) Residuals: Min

Hi Joshua, What plans did you have for GC? No GC at all or Avian JVM has its own GC (and is it precise or not?)? If you're not planning on using VMKit's GCs, then 64-bit system should not be a big problem: the only problem that we have now is compiling GNU Classpath, and most probably Avian JVM has its own version of the class libraries? Also, note that platform support will be strongly