similar to: model.matrix troubles with AlgDesign

Can anyone explain why AlgDesign's expand.formula help and output differ? #From help: # quad(A,B,C) makes ~(A+B+C)^2+I(A^2)+I(B^2)+I(C^2) expand.formula(~quad(A+B+C)) #actually gives ~(A + B + C)^2 + I(A + B + C^2) They don't _look_ the same... Steve E ******************************************************************* This email contains information which may be confidential and/or

Hi, I am wondering how I should interpreate the output of optFederov() in AlgDesign. Specially I want to know what is $D, $A, $Ge and $Dea, which one I can use as an efficiency to say how good the optimal design is. I only know when a orthogonal design comes, $D = 1. I red the pdf document -- vignette("AlgDesign") [Just type: vignette("AlgDesign") in R, you will get

Dear r-helpers, Could you please help me solve the following problem: When I run require(AlgDesign) trt <- LETTERS[1:5] blk <- 10 trtblk <- 3 BIB <- optBlock(~., withinData = trt, blocksizes = rep(trtblk, blk)) In response to the last command, R complains: Error in optBlock(~., withinData = trt, blocksizes = rep(trtblk, blk)) : object ".Random.seed" not found The

I initially thought, this should better be posted to r-devel but alas! no response. so I try it here. sory for the lengthy explanation but it seems unavoidable. to quickly see the problem simply copy the litte example below and execute f(n=5) which crashes. called with n != 5 (and of course n>3 since there are 3 parameters in the model...) everything is as it should be. in detail:

Hi I am trying to generate a design using Algdesign and came across terms of "exact design" and "approxiamte theory design", I did not find a reference to explain what they are, could some one shed some light about this on me? Another question is, I want to measure the main effects and at least two interactions, variables are factors, how do I ensure this in formula,

Hello, we are needing to generate optimal (Fractional) designs for discrete choice applications, where we will be using logistic regression or multinomial logit as the modeling technique. It looks like optFederov, in the AlgDesign package may work, but not sure if this algorithm works when the variable of interest is binary or nominal? Anyone who are experts in this area, anyone interested

Hi, I have some problems when using AlgDesign->optFederov() generating designs. I have 6 variables, all factors. 3^2 and 4^4, I want to have a design that can take care of main effects and two interactions within 2 pair of variables v3-v4 and v5-v6, the following is the code ################ require(AlgDesign) set.seed(1) levels = c(v1=3,v2=3, v3=4,v4=4,v5=4,v6=4)

AlgDesign is a new package for calculating algorithmic experimental designs. It will calculate both exact and approximate designs for a variety of criteria. It will handle very large designs. It will also block designs in a variety of ways, including split plotting. You should find it at least as capable as other software for this purpose. I'd normally submit this sort of thing to beta test,

AlgDesign is a new package for calculating algorithmic experimental designs. It will calculate both exact and approximate designs for a variety of criteria. It will handle very large designs. It will also block designs in a variety of ways, including split plotting. You should find it at least as capable as other software for this purpose. I'd normally submit this sort of thing to beta test,

R CMD check on a Windows system, halts with the following; installing inst files FIND: Parameter format not correct make[2]: *** [C:/AlgDesign/AlgDesign.Rcheck/AlgDesign/inst]Error 2 make[1] *** [all] Error 2 make: *** [pkg-AlgDesign] Error2 *** Installation of AlgDesign failed **** The inst directory contains the sub directory doc with a pdf and dvi file. Any sub directory in inst seems to

I'm using nls to fit periodic gene-expression data to sine waves. I need to set the upper and lower boundaries, because I do not want any negative phase and amplitude solutions. This means that I have to use the "port" algorithm. The problem is, that depending on what start value I choose for phase, the fit works for some cases, but not for others. In the example below, the fit works

Dear all I have tried to estimate the confidence intervals for predicted values of a nonlinear model fitted with nls. The function predict gives the predicted values and the lower and upper limits of the prediction, when the class of the object is lm or glm. When the object is derived from nls, the function predict (or predict.nls) gives only the predicted values. The se.fit and interval aguments

dear list, I stumbled over the follwing strange behaviour/error when using `nls' which I'm tempted (despite the implied "dangers") to call a bug: I've written a driver for `nls' which allows specifying the model and the data vectors using arbitrary symbols. these are internally mapped to consistent names, which poses a slight complication when using `deriv' to

Hi, Peter et al.: On 2017-01-09 4:24 AM, peter dalgaard wrote: > On 09 Jan 2017, at 10:53 , Spencer Graves <spencer.graves at prodsyse.com> wrote: > >> # Define an object of class 'dum' >> k <- 1 >> class(k) <- 'dum' >> str(k) # as expected >> >> # Define print.dum >> print.dum <- function(x, ...) >>

Dear developeRs, I have not found anything recent about how to link to a vignette or other documentation from within Rd-files. Is this now possible with the new help system ? For example, I would like to link to the file AlgDesign.pdf provided within the doc directory of package AlgDesign. Thanks for any suggestions, regards, Ulrike -- View this message in context:

Hello, the last command (isGeneric) in following R-code (attached) produces different output, depending on wheter 1.8.0 alpha or 1.7.1 is used. Is that to be expected ? Both R Versions were started with option vanilla --------------------------------------------------- R.1.7.1: --------------------------------------------------- > version _ platform i686-pc-linux-gnu arch i686

Afternoon everyone, I''ve spent the last week or so looking at all the experimental design packages I can find in R. AlgDesign, design.conf and BHH2 being the best one I could find. Unfortunately none of these do a particularly good job for complex designs, in particular for conjoint or discrete choice. (or perhaps they do, and I can''t make them work correctly)

Hi, after updating to 2.1 (see below) I am no longer able to install all R packages as mentioned at <http://support.stat.ucla.edu/view.php?supportid=30>. After finishing the download, I received the following error: [...] trying URL 'http://www.stats.ox.ac.uk/pub/RWin/bin/windows/contrib/2.1/xgobi_1.2- 13.zip' Content type 'application/zip' length 102623 bytes opened

Hello all, I'd like to report a problem related to S4 classes. Platform: Mac G4/400 PCI (PPC-architecture) Mac OS 10.4.8 R 2.4.1 for Mac OS X (CRAN binary, 2006-12-19) w/ R.app 1.18 Last December, Simon Urbanek confirmed that the issue is not platform related, and that it is most likely a bug. He suggested to post my report to "the appropriate mailing list" -- I choose r-devel.

Hi, Does anyone know how to generate block designs using the AlgDesign package? I have a experimental design with 1024 combinations and need to reduce it. Thanks! Edson [[alternative HTML version deleted]]