similar to: 2^k*r (with replications) experimental design question

Hello, I have tried reading the documentation and googling for the answer but reviewing the online matches I end up more confused than before. My problem is apparently simple. I fit a glm model (2^k experiment), and then I would like to predict the response variable (Throughput) for unseen factor levels. When I try to predict I get the following error: > throughput.pred <-

Hello, When I try to use TukeyHSD in the following way it shows the confidence interval corresponding to the last factor only. > throughput.aov <- aov(Throughput~No_databases+Partitioning+No_middlewares+Queue_size,data=throughput) plot(TukeyHSD(throughput.aov)) # I expected here to see the confidence intervals for all factors but see only the last. OTOH this one works but then it is

Hello, I currently get anova results out of the aov function (see below) I use the model.tables and I believe it gives me back the model parameters of the fit (betas), however I don't see the intercept (beta_0) and don't understand what the "rep" output means and there is no description in the documentation. Another question: is there a function that outputs the results in a

Hello, I currently run aov in the following way: > throughput.aov <- aov(log(Throughput)~No_databases+Partitioning+No_middlewares+Queue_size,data=throughput) > summary(throughput.aov) Df Sum Sq Mean Sq F value Pr(>F) No_databases 1 184.68 184.675 136.6945 < 2.2e-16 *** Partitioning 1 70.16 70.161 51.9321 2.516e-12 *** No_middlewares 2 44.22

In base R, there are lots of environment variables with either prefix 'R_' or '_R_', e.g. R_ENABLE_JIT and _R_RNG_VERSION_. I always considered R_* variables to be "public" and _R_*_ ones being "internal" but realized I don't have a reference for this. Is this true, or is there another reason? Is the difference between the two kinds documented anywhere?

Hello, I am having trouble installing the package playwith on the latest Mint "helena", running R version 2.10.1 (2009-12-14). I suspect it has to do with the GTK library but as far as I can tell there is nothing wrong with it. Any help extremely appreciated. I include the output: > install.packages("playwith") Warning in install.packages("playwith") :

Currently I have shorewal 2.2 installed om my debian 2.6.8 kernel. The firewall machine can access the internet via a ethernet modem fine. The firewall can ping the local network. The local network can ping the firewall server, see the samba files. Howeven teh local network cannot access the internet through the firewall Any suggestions? Rob van Overbruggen Settings and stats: Server: Eth1 :

I am trying to use the R API to call optim functions (nmmin, vmmin, lbfgsb, etc.) through a C program but I couldn't find the shared library to link under the R-2.6.0 build which is compiled under Linux (REL5). main.cpp:35: undefined reference to `Rf_initEmbeddedR(int, char**)' main.cpp:41: undefined reference to `nmmin' Thanks in advance for any help. ------------------------

Comparison operators == and != can be used on language objects (i.e. call objects and symbols). The == operator in particular often seems to be used as a shorthand for calling identical(). The current implementation involves comparing deparsed calls as strings. This has a number of drawbacks and we would like to transition to a more robust and efficient implementation. As a first step, R-devel

Dear all, I try to understand why on my computer I do not clear all data with this code: #include <R.h> static int count = 0; class A { public: A(){ printf("c %d\n", count); count++; } ~A(){count--; printf("d %d\n", count); } }; extern "C" { void testAL(){ A a; { A b; } error("does not write [d 0]"); } }

Hi all, I'm trying to invoke R from a perl program, using R BATCH. My original R program wrote an output to a file and plotted a graph. I'm having problems with the following three things: 1) To get the output file name form the perl program I wrote the following, in my R program: commandArguments <- commandArgs(); outputFile <- commandArguments[length(commandArguments)]; This

On 01/11/16 21:08, Kirill M?ller wrote: > Did you reinstall the gsl package [1]? Apparently not. I did a complete update.packages() which reinstalled a great number of packages (I have a great number in my personal library). There were complaints about 4 packages, one of which was "copula", but "gsl" was not one of them. I would have *thought* that if "gsl"

Estimados usuarios de R: Tengo que pedirles ayuda. Tengo un dataframe en el cual por número de vendedor tengo las ventas mes a mes que realizaron. No todos los vendedores tienen ventas todos los meses. A los vendedores que aparecen en la lista quiero agregarles ventas iguales cero en aquellos meses que no aparecen en el data.frame. Por ejemplo el data.frame se podría ser así: no_cliente

Sebastián No se para que vas a usar los datos, pero yo no usaría ceros cuando el dato no esta disponible ( me saltearía el último paso de la rutina que te mando). Seguramente hay mejores y mas eficientes maneras de hacerlo en R pero esta es una quizás no muy elegante: original <- matrix( c(1 ,1 ,1, 1, 223, 2, 1, 224, 3, 3, 447, 1, 78, 335.75, 8, 2901, 186.3, 2, 2901, 886.18, 3, 2901,

Hi, R-users, data is a matrix like this AMR BS GE HR MO UK SP500 1974 -0.3505 -0.1154 -0.4246 -0.2107 -0.0758 0.2331 -0.2647 1975 0.7083 0.2472 0.3719 0.2227 0.0213 0.3569 0.3720 1976 0.7329 0.3665 0.2550 0.5815 0.1276 0.0781 0.2384 1977 -0.2034 -0.4271 -0.0490 -0.0938 0.0712 -0.2721 -0.0718 1978 0.1663 -0.0452 -0.0573 0.2751 0.1372 -0.1346

Hi there, Everytime when I paste My R output in WORD, the columns couldn't line up nicely like they appear in R console. Is there a way to fix this problem? Thanks for any help! time n.risk n.event survival std.err lower 95% CI upper 95% CI 6 21 3 0.857 0.0764 0.707 1.000 7 17 1 0.807 0.0869 0.636 0.977 10 15 1

On 10/19/2016 5:42 PM, Arthur Ramsey via samba wrote: > The errors went away, but replication still isn't working properly. > There are objects missing on all DCs, but it isn't consistent at all. > > showrepl: http://pastebin.com/bYfCZcNG > > Thanks, > Arthur > > On 10/17/2016 12:32 PM, Arthur Ramsey wrote: >> This fixed DNS issues. >> >>

On 2020-07-10 14:47, James B. Byrne wrote: > FreeBSD-12.1p6 IOCage thick jails on ZFS, samba-4.10.15: Can you post the smb.conf of both DCs? Just out of curiosity, are you also using vfs_zfsacl? bye & Thanks av.

Hello I have several replicates (30) of a -- short -- time series (19 obs) and I'd like to estimate the first few lags autocorrelation function. Is there an immediate way of handling multiple realizations when computing the ACF in R? I'm using R-1.4.1 on a Linux Debian box. Thanks in advance claudia ------------------------------------------------------------------------- claudia

I am trying to use the function gl (generate levels), and would like to make levels with different number of replications. Does anyone know how to generate different number of replications in each level? Something like: [1] Site1 Site1 Site1 Site1 Site1 Site1 Site1 [8] Site2 Site2 Site2 Site2 Site2 Thanks in advance -- Rog?rio R. Silva MZUSP http://www.mz.usp.br Linux/Debian User # 354364