similar to: AlgDesign

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

R CMD check now balks at my inst directory. It contains a single folder "doc," but apparently any folder causes the problem. If inst is empty, the project checks OK. This was not a problem before 1.9. I've checked the documentation, but don't see a change. What am I missing. -- Bob Wheeler --- http://www.bobwheeler.com/ ECHIP, Inc. --- Randomness comes in bunches.

I've updated the Ziggurat normal and exponential generator in SuppDists in accordance with Leong, et.al (2005). A comment on the implementation of the Ziggurat Method. Jour. Stat. Sci. 12-7, 1-4. The fix takes care of problems for very large sets of random values. I tested it a bit on small samples and it seems ok. It will be on CRAN shortly. -- Bob Wheeler --- http://www.bobwheeler.com/

I use a large real matrix, X, in C code that is passed from R and transposed in place in the C code. I would like to conserve memory and, if possible, allocate space for only one copy of X -- hence I would like to pass a pointer to the data in the X object to the C code. The Writing R Extensions manual says that neither .Call nor .External copy their arguments. They also say that these

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))

You need to give the model formula that gave your output. There are two sources of variation (at least), within and between locations; though it looks as though your analysis may have tried to account for this (but if so, the terms are not laid out in a way that makes for ready interpretation. The design is such (two locations) that you do not have much of a check that effects are consistent over

This isn't actually a bug, but what is one to do in cast of a typo? > citizen<-factor(c("uk","as","no","au","uk","us","us")) > levels(citizen) [1] "as" "au" "no" "uk" "us" > citizen[2]<-"us" > citizen [1] uk us no au uk us us Levels: as au no uk

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

I'm running Windows NT4. Rcmd does not seen to read the command line. Rterm and other things work well. For example "Rcmd check --help" fails with the command interpreter trying to find a program or file called "check." What have I missed? -- Bob Wheeler --- (Reply to: bwheeler at echip.com) ECHIP, Inc.

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

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 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!

Thanks to all who response my problem. Here are my summary : 1. from Dirk Eddelbuettel <edd at debian.org> We could try a mixture of normals -- ie flip a coin (use a uniform with some cutoff c where 0 < c < 1 ) to choose between N(0, sigma_1) and N(0, sigma_2). 2. from Michaell Taylor <michaell.taylor at reis.com> We could use the gld library to specify the lambdas of

Thanks to all who response my problem. Here are my summary : 1. from Dirk Eddelbuettel <edd at debian.org> We could try a mixture of normals -- ie flip a coin (use a uniform with some cutoff c where 0 < c < 1 ) to choose between N(0, sigma_1) and N(0, sigma_2). 2. from Michaell Taylor <michaell.taylor at reis.com> We could use the gld library to specify the lambdas of

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 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-helpers, Would anybody have a compiled binary version (for Windows) of the Dopt library that is in the development site?. best regards, IOsu -------------------------------------------------------------- Jes?s Mar?a Fr?as Celayeta Dublin Institute of Technology School of Food Sci. and Env. Health. Cathal Bruha St., Dublin 1. Ireland Phone: +353 1 4024459 Fax: +353 1 4024495

Hello I am searching ghyper package (generalized hypergeometric distributions). Does anyone can send it to me? Regards from Mexico Lizbeth Román [[alternative HTML version deleted]]

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

Hello, My name is Lisa and I'm a statistician at Princess Margare Hospital. I wonder if there is any function in R that calculate the Normal rankits based on Blom's approximation? Thank you very much Lisa Wang Msc. Princess Margaret hospital Toronto, Ca