search for: 4.87

Hi All, I have the following text file (mytextfile.txt) 738307 527178 714456 557955 #N/A 17.42 6.22 4.73 #N/A 17.3 6.23 4.75 #N/A 17.29 6.17 4.7 #N/A 17.07 6.12 4.6 #N/A 17.27 6.19 4.7 #N/A 17.72 6.4 4.78 #N/A 17.12 6.19 4.75 #N/A 17.07 6.15 4.65 #N/A 17.03 6.07 4.64 #N/A 17.38 6.13 4.7 #N/A 17.38 6.13 4.7 #N/A 17.38 6.13 4.7 #N/A 17.38 6.13 4.7 #N/A

Estimados usuarios de R: Soy nuevo en R, le ruego disculpa por mi *Ignorancia*. Estoy corriendo la siguiente instruccion, ggsave(paste('img/',plotName,'.png', sep='') y resulta el error: ggsave(paste('img/',plotName,'.png', sep='') Saving 7.32 x 4.87 in image Error in grDevices::png(..., width = width, height = height, res = dpi, :

Hi, I am trying to find m breakpoints of a linear regression model. I used the segmented package. It works fine for small number of predicators and breakpoints.(3 r.v. 3 points). However, my model has 14 variables it even would not work even for just one breakpoints!. The error message is always estimated breakpoints are out of range. Since my problem is time related problem. So I

Hola compañeros de la lista. Los molesto con la siguiente duda. En un diseño central compuesto (CCD) con dos factores (V1 y V2) y una variable de respuesta (R), utilizando valores codificados (-1.4142, -1, 0, 1, 1.4182), al aplicar la orden: rsm.segundo.orden <- rsm(R ~ Bloque + SO(V1, V2), data = DATOS.Codificados) Obtengo el siguiente modelo: R = 103.92 -2.16

Hi R Users, I created interaction plots in ggplot2 and was trying to add output of two way ANOVA models, especially only interaction ( example treatment*control F(XX, XX) = xxx, p = xxx) into figures, but i was not able to add. Would you mind to help on how I can add information into each figure? I have attached the example data and the code that I used for this. dat<-structure(list(Sites

Estimados usuarios de R: Estoy corriendo el código de aqui: http://www.r-bloggers.com/visualizing-baltimore-2-vacant-property-and-some-more-crime/ y al correr la función ggsave(paste('img/',plotName,'.png', sep='') resulta el error: Saving 7.32 x 4.87 in image Error in grDevices::png(..., width = width, height = height, res = dpi, : unable to start png() deviceIn

Hi, Given some example data: dat <- seq(4, 7, by = 0.05) x <- sample(dat, 30) y <- sample(dat, 30) error <- x - y I have broken the rage of x into 10 groups and I can calculate the bias (mean(error)) for each of these 10 groups: groups <- cut(x, breaks = 10) max.bias <- aggregate(error, list(group = groups), mean) max.bias group x 1 (4,4.3] -0.7750000 2

Estimado Linis, Si estás bajo Windows y no has cambiado las rutas (también dentro de las funciones) es posible que no funcionen bien. Por ejemplo la sentencia paste('img/',plotName,'.png', sep='') deberías cambiarla por: paste('img\',plotName,'.png', sep='') o incluso por paste('img\\',plotName,'.png', sep='')

Recollected the data from trunk head with stddev data and more threshold data points attached: Performance: stddev/mean 300 450 600 750 403 0.37% 0.11% 0.11% 0.09% 0.79% 433 0.14% 0.51% 0.25% -0.63% -0.29% 445 0.08% 0.48% 0.89% 0.12% 0.83% 447 0.16% 3.50% 2.69% 3.66% 3.59% 453 0.11% 1.49% 0.45% -0.07% 0.78% 464 0.17% 0.75% 1.80% 1.86% 1.54% Code size: 300 450 600 750 403 0.56% 2.41% 2.74% 3.75%

I had suggested having size metrics from somewhat larger applications such as Chrome, Webkit, or Firefox; clang itself; and maybe some of our internal binaries with rough size brackets? On Wed, Feb 1, 2017 at 4:33 PM Dehao Chen <dehao at google.com> wrote: > With the new data points, any comments on whether this can justify setting > fully inline threshold to 300 (or any other

Dear all this is a question of model specification in lme which I'd for which I'd greatly appreciate some guidance. Suppose I have data in long format gene treatment rep Y 1 1 1 4.32 1 1 2 4.67 1 1 3 5.09 . . . . . . . . . . . . 1 4 1 3.67 1 4 2 4.64 1 4 3 4.87 .

hello everybody solved the problem with summary, now I have another one eg I estimate > try.op <- polr( > as.ordered(sod.sit.ec.fam) ~ > log(y) + > log(1 + nfiglimin) + > log(1 + nfiglimagg) + > log(ncomp - nfiglitot) + > eta + > I(eta^2) + >

Hi, I am a total beginner with this whole thing so please have patience! I am trying to run an S-plus program with a certain line: spline(1:nrow(y), y[,1],n=100); This crashes with: Error: NAs in foreign function call (arg 8) Apparently, this is caused by the last command of spline: u <- seq(xmin, xmax, length.out = n) .C("spline_eval", z$method, length(u), x = u, y =

On Mon, Jan 30, 2017 at 4:59 PM Mehdi Amini <mehdi.amini at apple.com> wrote: > > > Another question is about PGO integration: is it already hooked there? > Should we have a more aggressive threshold in a hot function? (Assuming > we’re willing to spend some binary size there but not on the cold path). > > > I would even wire the *unrolling* the other way: just

Hello. My name is Ana. I?m doing an eology master, and I?m just learning how R works. I have a Mac OS X 10.5.6, and I?m tryng to run just a simple ANOVA nanalyses. I dowloaded R version 2.10.0, and it seems I have problems with the script. I don?t know what to do, I?ve already change the languages, be sure of being working in the correct directory and doesn?t work the script is: #1. example

> On Feb 1, 2017, at 4:57 PM, Xinliang David Li via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > clang, chrome, and some internal large apps are good candidates for size metrics. I'd also add the standard LLVM testsuite just because it's the suite everyone in the community can use. Michael > > David > > On Wed, Feb 1, 2017 at 4:47 PM, Chandler Carruth via

On Thu, 30 Jun 2005, Tanu Sharma wrote: > I am compiling SPEC 2000 benchmarks with llvm .Got stuck with > calculating "execution time" of all the .bc and native files. > > The log for nightly test itself gives execution times but I am passing > the bytecode files to my pass which gives another bytecode file.I have > to calculate execution time of such bytecode and

I tried toy problems and there doesn't seem to be a basic problem between lm() and ts objects: X = data.frame(x=c(1,2,7,9), y=c(7,2,3,1)) lm(y ~ x, X) X <- lapply(X, function(x) ts(x, frequency=12, start=c(1994,7))) lm(y ~ x, X) and this works fine - whether you do an lm() before or after making ts objects, it's okay. But I have a situation where things aren't okay.

Hello , I am compiling SPEC 2000 benchmarks with llvm .Got stuck with calculating "execution time" of all the .bc and native files. The log for nightly test itself gives execution times but I am passing the bytecode files to my pass which gives another bytecode file.I have to calculate execution time of such bytecode and native files as well.If i simply do this: time lli

Hello All, Thanks for the reply.I can generate the reports by compiling Spec through llvm, but that couldn't resolve my problem. I m trying to determine execution time for the bytecode and native files , which are obtained as a result of running my pass over the original bytecode .I am running these experiments on spec benchmark. In SPEC we have command line tools such as runspec where