similar to: AlgDesign - $D $A $Ge $Dea

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)

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,

Dear R users, I have used the AlgDesign package to construct a D-optimal exp. design from a file containing a set of allowed runs. The code for the optFederov call is below: #Using optFederov ------------------------------ library(AlgDesign) options(contrasts=c("contr.sum","contr.poly")) file<- read.table("C:/Upstream/Designs/Vodacom Tanzania phase1

Hi All, recently I used Design Expert for some Design Of Experiment work. I was happy with the interface to select which effects I want to see in my experiment, and which not. For example: I can select of course my main effects, but also if I want to see interaction A:B, B:C, A:B:C,but not A:C. This was very interessting as you can end up with fewer runs, especially in cases of 10 factors with

Dear DevelopeRs, in continuing with my suite of packages on experimental design, I am stuck with an issue that appears to be related to package AlgDesign - I have tried to get it solved by Bob Wheeler, but he seems to be stuck as well. Whenever AlgDesign is loaded, some of my code does not work any more. For example, in a fresh R session: require(DoE.base) fac.design(nlevels=c(2,6,2))

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

Hi all, Does anybody know if it is possible to build a fractional factorial design in R? That is, suppose that we want do design an experiment with 3 factors with 2, 3 and 3 levels, respectivly. However we want to consider, let's say, only 6 from all possible level combinations. Does R design such experiment? Thanks in advance, Caio [[alternative HTML version deleted]]

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

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:

Hi, i need to create a fractional factorial design sufficient to estimate the main effects. The factors may have any number of levels, let's say any number from 2 to 6. I've tried to use the library conf.design , but i cannot figure out how to write the code. For example, what is the code for a design with 5 factors (2x3x3x5x2) and only main effects not confounded? thanks in advance!

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,

Hello R, According to: g <- expand.grid(x = 1:10, y = 5:15, gr = 1:2) g$z <- log((g$x^g$g + g$y^2) * g$gr) wireframe(z ~ x * y, data = g, groups = gr, scales = list(arrows = FALSE), drape = TRUE, colorkey = TRUE, screen = list(z = 30, x = -60)) i have two wireframes in one plot. How could i change the color of the top - one to transparent (or only the grid).

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, I would like to know if there is any function in R which allows to make designs of experiments for Choice-Based Conjoint studies ? I have already checked the topic on " design of experiments with R " and looked at the different libraries. I tried to make my design with the "optFedorov" function but I haven't found how it can allow to have balanced design (with the

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, 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]]

Hello, Good time, I want to write a source code with the model DEA CCR stochastice in R software. But I could not find any example that guides me. I need this model for my article. Where can I find the source code for this model? Is it possible to send me an example of this source code? Help me please. Thanks [[alternative HTML version deleted]]