similar to: package:AlgDesign and .Random.seed

Hello everyone, I am trying to use the 'find.BIB' function to construct a balanced incomplete block design. When I ran the example given in the help file (find.BIB(10,30,4)), I obtained the following error message: Error in optBlock(~., withinData = factor(1:trt), blocksize = rep(k, b)) : object ".Random.seed" not found I investigated what the optBlock

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 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))

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)

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 R-users, I want to know if there is a package that allows to define different experimental designs (factorial, orthogonal, taguchi) and to compare them. I don't found one in the R-web site, but it is possible I missed it! Thank you in advance Sincerely, Marc

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:

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,

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)

Windows XP R 2.10 I am trying to run lme and get the following error: > fitRandom <- lme(values ~ subject, + data=withindata) Error in getGroups.data.frame(dataMix, groups) : Invalid formula for groups my data follows, below which is a copy of all my code > > print(withindata) subject values 1 1 2.3199639 2 1 -8.5795802 3 1 -4.1901241 4

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

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]]

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

Hello! This is not a topic I am well versed in but required to become well versed in...I welcome any assistance! Using R, I want to create an optimal design for an experiment. I'll be analyzing the results with logistic regression or some generalized linear model. I am thinking that the algdesign package can help (but no idea where to start?). I'm presenting an example here that I have

Hello, Just a quick message to say that, ------------------------------------------------------------------------ ------- when choosing (with or without the tcltk window) "Bern 1 (swiss)" as CRAN mirror to install a package (function install.packages) for R-2.5.0, the list of available packages for osx seems not complete: AMORE, AdaptFit, AlgDesign, AnalyzeFMRI, SemiPar,

Hi, The below very strange: # a) aov function av <- aov(Sepal.Length ~ Species, data=iris) # Error in parse(text = x) : # unexpected symbol in "Sepal(Sepal.Length+Species)Length" av <- aov(iris[, 1] ~ iris[, 5]) # summary(av) # Df Sum Sq Mean Sq F value Pr(>F) # iris[, 5] 2 63.2 31.6 119 <2e-16 *** # Residuals 147 39.0 0.3 # ---