[R] Remove redundant observations for cross-validation

){ y[i,]=x[sample(which(pamx$clustering==i), 1),] } This seems a bit subjective though... Any better ideas? Eleni Rapsomaniki __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide

[R] Plotting multiple smooth lines on the same graph

(d1) Many thanks Eleni Rapsomaniki __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained

[R] how to combine imputed data-sets from mice for classfication

suggestions on these. Many Thanks Eleni Rapsomaniki __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self

[R] Using predict.glm for classification

the vector mydf.pred$fit indicate? If it has a value of say 0.42 does it mean that the probability that the response is a is 0.42 and that the response is b 1-0.42 (so for a threshold of 0.5 the class would be b) ? I would appreciate any comments or help on this. Many thanks Eleni Rapsomaniki

[R] Any hot-deck imputation packages?

Hi I found on google that there is an implementation of hot-deck imputation in SAS: http://ideas.repec.org/c/boc/bocode/s366901.html Is there anything similar in R? Many Thanks Eleni Rapsomaniki __ R-help@stat.math.ethz.ch mailing list https

[R] Multiple imputation using mice with mean

the background behind each imputation option in MICE? I would really appreciate any comments on the above, as my understanding of statistics is very limited. Many thanks Eleni Rapsomaniki Birkbeck College, UK __ R-help@stat.math.ethz.ch mailing list https

[R] summary(glm) for categorical variables

... My question is is it possible to get the terms to appear as A,B, C instead of every combination of Aa, Ab, Ac etc separately? Many Thanks in advance Eleni Rapsomaniki Birkbeck College, UK __ R-help@stat.math.ethz.ch mailing list https

[R] Finding points with equal probability between normal distributions

of belonging to either of the two distributions)? Many Thanks Eleni Rapsomaniki PhD student Birkbeck College, UK __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R

Re: [R] memory problems when combining randomForests

stable importance order? And finally, since interactions are not implemented, is there another method I could use in R to find dependencies among categorical variables? (lm doesn't accept categorical variables). Many thanks Eleni Rapsomaniki Birkbeck College, UK

Re: [R] memory problems when combining randomForests

, then this overfitting should not be an issue, right? (unless of course you were referring to unsupervised learning). Best regards Eleni Rapsomaniki Birkbeck College, UK __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help

Re: [R] memory problems when combining randomForests

it (?). Something must be very different between the first 2 methods and the last, but which is the correct one? I would greatly appreciate any suggestions on this! Many Thanks Eleni Rapsomaniki __ R-help@stat.math.ethz.ch mailing list https

Re: [R] memory problems when combining randomForests

interactions between parameters. Has this been implemented in R yet? Many thanks for your time and help. Eleni Rapsomaniki __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R

Re: [R] memory problems when combining randomForests [Broadcast]

lower than if I a take an ordered sample. This remains true for all my cross-validation results. I'm sorry for my many questions. Many Thanks Eleni Rapsomaniki __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do

[R] memory problems when combining randomForests

issue. Unfortunately, combine() still runs out of memory. Is there anything else I can do? (I am not using the formula version) Many Thanks Eleni Rapsomaniki __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read

[R] RandomForest vs. bayes svm classification performance

, is there a way of evaluating the predictive ability of each parameter in the bayesian model as it can be done for random Forests (through the importance table)? I would appreciate any of your comments and suggestions on these. Many thanks Eleni Rapsomaniki