similar to: obtaining the discriminant line from lda

Hello! I need some help with the linear discriminant analysis in R. I have some plant samples (divided into several groups) on which I measured a few quantitative characteristics. Now, I need to infer some classification rules usable for identifying new samples. I have used the function lda from the MASS library in a usual fashion: lda.1 <- lda(groups~char1+char2+char3, data=xxx) I'd

Hi listers, Does anybody knows if the function qda for quadratic discriminant analysis provides the coefficients of quadratic discriminants... Well, I find out that for the linear discriminant analysis lda, the fonction provides the coefficients... Thanks in advance, Marcio -- View this message in context: http://www.nabble.com/Quadratic-Discriminant-Analysis-%28qda%29-tp22747647p22747647.html

Hi, How can I calculate and mark each group centroid in a linear discriminant analysis plot (using ggplot2)? Script: ## originate from http://r.789695.n4.nabble.com/LDA-and-confidence-ellipse-td4671308.html require(MASS) require(ggplot2) iris.lda<-lda(Species ~ Sepal.Length + Sepal.Width + Petal.Length + Petal.Width, data = iris) LD1<-predict(iris.lda)$x[,1]

Dear R users, I am not an R user myself, but someone searching the web for C source code that will do linear discriminant function analysis. The only lead I have been able to locate is that R contains a function called "lda" which is contained in the MASS package. (http://stat.ethz.ch/R-manual/R-devel/library/MASS/html/lda.html) I downloaded the R source file R-1.9.0.tgz, and

I have the Rexcel package. Which of the functions do I want to run a discriminant function analysis? Or, how would I do it in R? Thanks. [[alternative HTML version deleted]]

Greetings everyone, I was wondering if anyone had experience in using fda (flexible discriminant analysis) in the mda package. Specifically, I can run the model but I cant locate/produce much of anything beyond the predicted values and confusion matrix. I've been searching for more examples or documentation but cant seem to locate any specific to the program itself. I need to be able to find

Hello, I have run a discriminant analysis (with lda() from the MASS package) but I can't find a way to examine the p-values for the discriminant functions. I would like to calculate a Wilk's lambda and then the Bartlett's V statistic which is distributed as a chi squared and test its significance, but I haven't found out how to do so. Can anyone help? Thank you, Janke ten

Dear R users, Is there anyone who is aware of a R or S package that has Discriminant Adaptive Nearest Neighbor (DANN) classification by Hastie and Tibshirani? I have used the search services in R website but no luck. Thanks in advance! Jonathan -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Dear R-users, I'm wondering how to obtain Wilks-lambda values when discriminant analyses have only one discriminant function (i.e. 2 categories to discriminate between). The use of manova(predictions~groups, test="Wilks") asks for multiple response and the use of anova(lm(predictions~groups), test="Wilks") simply does not consider the last term. (The alternative

Hi list, I'm looking about lda function. I'd like to know how calcolate the value of the discriminant functions for the original datas. I see that in the result object "lda" there is $scaling a matrix which transforms observations to discriminant functions, normalized so that within groups covariance matrix is spherical. I'd like to have the value of the discriminant

Hi R folks, How can I generate the discriment function from lda? I have an unbalanced data set. one class has about 25 entries and another class has about 200 entries. I used lda for classification > z<- lda(V3 ~ V1+V2, data) > z Prior probabilities of groups: 0 1 0.91111111 0.08888889 Group means: V1 V2 0 0.4445161 0.04723951 1 0.4058900

Sorry, I forgot to mention that I used the package "klaR". > > Dear all, I am trying to do a n-fold cross-validation for a > regularized discrimant function analysis using rda from the package > klaR. However, I have problems to predict the groups from the > test/validation sample. The exmaples of the R documantation and > some online webpage also do not work.

Dear all, I'm having difficulty getting the procedure for discriminant analysis. How can I specify the forward or backward stepwise analyses of variables into the model? I'm using lda in MASS and discrimin (ade4). I run R version 1.9.1. Thanks, Rog??rio

Hi there, I work for a market research company and I would like to do the following. I have a dependent variable which is commitment, and I want to see how other variables such as how 5 satisfaction variables (which are all binary variables, take the values 0 and 1) influence commitment using a discriminant analysis, could you please tell me how I can do this in R, ie: the commands for it? Also

Hello everyone, Is there anyone who is aware of any R package that has Discriminant Adaptive Nearest Neighbor (DANN) classification by Hastie and Tibshirani? Thanks in advance! Tracy [[alternative HTML version deleted]]

Are there any libraries in R that can do discriminant analysis? Lily Elloso Research Division Statistical Research and Training Center (SRTC) Quezon City, Philippines -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in

I am looking for a "multiple discriminant analysis" function It seems to be called DISCR in Splus, but I can't find it in R, and R-packages. Thank for your help -- Anne BADEL-CHAGNON Email:badel at urbb.jussieu.fr Equipe de Bioinformatique Mol?culaire, Universite Paris 7 Tour 53, 1er etage, case 7113 Tel : 01.44.27.77.14 75251 Paris cedex 05 Fax :

Dear R-helpers                         I am having problem or reservation analyzing my data using 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

Hi All, I am currently trying to use R to perform some statistical discriminant analysis on a data set using ANOVA. I'm new to anova and R as well. As I understand it, ANOVA can be used to perform discriminant analysis by measuring the value of the f-test when given a data set with a grouping variable and the dependent variable. What I would like to do in R is perform ANOVA and extract the

Can one perform a QDA in R? I do not see it anywhere within the mda package. Any pointers here would be appreciated. Thanks, cjf -- ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~* Christopher J. Fonnesbeck Ph.D. Student Georgia Cooperative Wildlife Unit University of Georgia Athens, GA 30602 Email: cjf at fonnesbeck.net Yahoo: fonnesbeck_chris ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*