similar to: Do we have to control for block in block designs if it is insignificant?

Dear R community, I compare mean monthly body temperature between two age classes of turtles overwintering underground. lm(body_tem ~ Month*Year*Age_Class) TukeyHSD(aov(body_tem ~ Month*Year*Age_Class, a)) The Tukey HSD as well as the planned contrasts method showed significant differences between the two age classes, but insignificant differences between the two age classes at the same

> On Wed, 14 Jun 2017, G?bor Cs?rdi wrote: > > > I like the idea of string literals, but the C/C++ way clearly does not > > work. The Python/Julia way might, i.e.: > > > > """this is a > > multi-line > > lineral""" > > luke-tierney at uiowa.edu: > This does look like a promising option; some more careful checking

Hello. I have a large dataset with sales pr month for 56 products with 10 months and i have tried to see how the sales are correlated using cor() This has given me a 56X56 matrix with the R value for each product pair. Most of these correlations are insignificant, and i want only to retain the instances were the R value is significant (for 10 observations it should be above 0.64) Can someone

Hello all, could anyone explain the exact meaning of parameter nproc? Why different values of nproc give so different critical values, i.e. meanL2BB$computeCritval(0.05,nproc=3) [1] 0.9984853 meanL2BB$computeCritval(0.05,nproc=1) [1] 0.4594827 The strucchange-package description gives "integer specifying for which number of processes Brownian motions should be simulated" - do I need

HI, I am not sure about the ?update() method. You could try this: set.seed(232) mat1<-matrix(sample(1:100,80,replace=TRUE),ncol=8) #with 8 columns dat1<-data.frame(mat1) ?names(dat1)[1]<-"Y" ?fit<-lm(Y~.,data=dat1) res<-coef(summary(fit)) ?res #???????????????? Estimate Std. Error???? t value?? Pr(>|t|) #(Intercept) 143.763081344 21.9902865? 6.53757200 0.02260698

Dear Colleagues, John Mandel ( Chain block designs with two-way elimination of heterogeneity. Biometrics 10, 251-272 ,1954). extended the class of chain block designs (Youden & Conner (1953) to elimination of both row and column (blocks) effects. These experimental designs can be useful in engineering and other fields. I am having difficulty obtaining his adjusted treatment means in his

Hi list, I am building a regression model with categorical predictor variable coded by treatment contrasts. The summary of the regression model shows that some levels are significant while others are not. The significant ones show that they are statistically significant from the basis factor (at level 0). How do we generally deal with those insignificant levels? If they are used for

Hi, I am trying to specify a multinomial logit model using the multinom function from the nnet package. Now I add another independent variable and it halves the AIC as given by summary(multinom()). But when I call Anova(multinom()) from the car package, it tells me that this added variable is insignificant (Pr(>Chisq)=0.39). Thus, the improved AIC suggests to keep the variable but the Anova

Dear Community, in an earlier post, students working on LLVM were asked to provide a short report on their GSoC project. in the following I want to give an overview on the current status of my GSoC project and outline my next planned activities. Since my mentoring organization is Julia, I also send this to the according mailing list. *1. Activities so far:* As described in my proposal [1], I

hello everyone,recently I write a package for R call Julia through Julia C API https://github.com/armgong/RJulia now the package can do 1 finish basic typemapping, now int boolean double R vector to julia 1d-array is ok,and julia int32 int64 float64 bool 1D array to R vector is also ok. 2 R STRSXP to julia string 1D array and Julia string array to STRSXP is written but not sure it is correct or

Dear LLVM contributors, my name is Matthias, I am a graduate student majoring in computer science at the Vienna University of Technology, and I am glad to be one of this year's GSoC students who work for the Julia foundation. Julia is a relatively young programming language that uses LLVM for just-in-time compilation and the goal of my project is to integrate Polly in this environment to

Hello, I'm trying to fix a long standing issue we are having in Julia where when the file information switched, we weren't recording that correctly, so line information showed up in the wrong file. Basically we would always create a scope with the DISubprogram and the given line number. What I tried was to change the scope to be a DIFile instead so we'd get the correct file

Dear forum members, How can I force a negative slope in a linear regression even though the slope might be positive? I will need it for the purpose of determining the trend due reasons other than biological because the biological (genetic) trend is not positive for these data. Thanks. Julia Example of the data: [1] 1.254 1.235 1.261 0.952 1.202 1.152 0.801 0.424 0.330 0.251 0.229

Actually it only link the shlib fine. Linking any executable against it fails: llvm[2]: Linking Release+Asserts executable llvm-lto (without symbols) /home/kfischer/julia/deps/llvm-svn/build_Release+Asserts/Release+Asserts/bin/clang++ -fsanitize=address -O3 -Wl,-R -Wl,'$ORIGIN/../lib' -L/home/kfischer/julia/deps/llvm-svn/build_Release+Asserts+Sanitize/Release+Asserts/lib

I posted this question way down at teh end of another thread realted to an error in step, but that was stupid since it really is another matter altogether. I should have posted it separately, as I have now done. The code below creates a data.frame comprising three marginally noisy surfaces. The code below (including a fix courtesy of David Winsemius that avoids a step function error through use

Folks, We are contemplating holding a Birds of a Feather session titled "Julia and LLVM: Implementing a fast dynamic language for technical computing" at the LLVM 2012 European Conference on April 12-13 in London. http://llvm.org/devmtg/2012-04-12/ Would this be of interest to the LLVM developer and user community? It would be great if you could drop me a line. It will help us gauge

Sorry, I didn't have a small IR example and I was sure I was just doing something stupid. Thanks for the help, I'll try it out and report back. Maybe it would be good to add an assertion or something that tells people what's wrong in this case, since the generated DWARF seems to be invalid? On Wed, Aug 13, 2014 at 5:53 PM, David Blaikie <dblaikie at gmail.com> wrote: > Use

Dear R community, I wrote a small program using for loop but it does not make cycles. My data: Dataframes: a2, a1, b0 and b1. Vector: d I would like to get b1 for each of i., i.e. totally 11. However, the program gives me b1 only for the last i =11. d<-as.vector(levels(a2$combin2)) for (i in 1:11){ a1<-a2[a2$combin2%in%d[i],] b1<-b0[b0$Date%in%(a1$Date),] } Your help is

Dear R community, I used a linear mixed model (named lm11) to model daily soil temperature depending upon vegetation cover and air temperature. I have almost 17,000 observations for six years. I can not account for autocorrelation in my model, since I receive the error message after applying the function: update(lm11, corr=corAR1()) Error: cannot allocate vector of size 220979 Kb Do

Hello everybody, after moving from OS X to Linux build llvm with asan enabled (I also updated to trunk, but not sure if that's related). However, it's totally possible that I missed a step that I took back when I set this up for me, so I might be doing something very stupid. Anyway, I'm configuring LLVM with ../configure --prefix=/home/kfischer/julia/usr --build=x86_64-pc-linux-gnu