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...uot;RBS.csv") This is the error message I got; Error in file(file, "r") : unable to open connection In addition: Warning message: In file(file, "r") : cannot open file 'RBS.csv', reason 'No such file or directory' Where was the mistake? -- OYEYEMI, Gafar Matanmi (Ph.D) Senior Lecturer Department of Statistics University of Ilorin. Area of Specialization: Multivariate Analysis, Statistical Quality Control & Total Quality Management. Tel: +2348052278655, +2348068241885 [[alternative HTML version deleted]]

Hi, I run into problem when writing a syntax, I don't know syntax that will return true or false if an integer is odd or even. Thanks OYEYEMI, Gafar Matanmi Department of Statistics University of Ilorin P.M.B 1515 Ilorin, Kwara State Nigeria Tel: +2348052278655 Tel: +2348068241885 [[alternative HTML version deleted]]

...lace=FALSE) + z <- x[flag,] + y <- eigen(var(z), only.values=TRUE)$values + vec11[i,] <- y + vec12[i,] <- flag + } + product <- apply(vec11,1,prod) + best <- which.min(product) + sample <- vec12[best,] + bestsample <- x[sample,] + return(bestsample) + } Thanks Oyeyemi, Gafar Matanmi Department of Statistics University of Ilorin Ilorin, Nigeria [[alternative HTML version deleted]]

...ing discrminant analysis. The problem is that all my dependent variables are categorical which means that the normalty assumption is no longer valid. Can one still use discrminant analysis for such data? Is there non-parametric technique of doing discrminant analysis in R. Thanks  OYEYEMI, Gafar Matanmi Department of Statistics University of Ilorin P.M.B 1515 Ilorin, Kwara State Nigeria Tel: +2348052278655 Tel: +2348068241885 [[alternative HTML version deleted]]

... on using discrminant analysis for my set of data. All my dependent variables are all categorical, hence the normalty assumption is no longer valid. Is it still right to use discrminant analysis or is there any non-parametric technique or approach to discriminant analysis? Thanks OYEYEMI, Gafar Matanmi Department of Statistics University of Ilorin P.M.B 1515 Ilorin, Kwara State Nigeria Tel: +2348052278655 Tel: +2348068241885 [[alternative HTML version deleted]]

...# Fit modified procedure fit<- glmnet(x, y, family="gaussian", alpha=alpha,lambda=lambda1+lambda2, penalty.factor=w4) The question is; Does the code address the modified procedure in as shown in the equation? If not, suggestions are please welcome. Thanks -- OYEYEMI, Gafar Matanmi (Ph.D) Reader Department of Statistics University of Ilorin. Area of Specialization: Multivariate Analysis, Statistical Quality Control & Total Quality Management. Tel: +2348052278655, +2348068241885 [[alternative HTML version deleted]]