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Dear R Users, R Core Team, I have a two dimensional space where I measure a numerical value in two situations at different points. I have measured the change and I would like to test if there are areas in this 2D-space where there is a different amount of change (no change, increase, decrease). I don´t know if it´s better to analyse the data just with the coordinates or if its better to group them

I´ve several packages for latent class analysis, but I was wondering if there is a package for continuos variables, which allows latent prfile analysis. Thanks for your help in advance, J Toledo _________________________________________________________________ cial-network-basics.aspx?ocid=PID23461::T:WLMTAGL:ON:WL:en-xm:SI_SB_1:092 [[alternative HTML version deleted]]

Hi, I am looking for a way to study some phase data with a circular distribution measured in rad.I would like to do a two way ANOVA (if possible mixed, with inter and intrasubject).I haven´t found a package that does that in R?Does sombeody know if there is one or how to do the analysis.Thanks in advance J ToledoCNDR UPenn [[alternative HTML version deleted]]

Dear developers, I have jutst started working with caret and all the nice features it offers. But I just encountered a problem: I am working with a dataset that include 4 predictor variables in Descr and a two-category outcome in Categ (codified as a factor). Everything was working fine I got the results, confussion matrix etc. BUT for obtaining the AUC and predicted probabilities I had to add

Hi, First let me thank you for the incredible help and resource that this forum is. I am trying to compare the repeated measurement of more than 100 analytes that have been take in 70 subjects at 2 time points adjusted for the time difference of sample times(TimeDifferenceDays), therefore I wanted to do it with a function that allows me to do all at once. (131 is the column difference that

Y have only continuos quantitative data and when I trie the function I get next message > res<-clues(C,quiet=TRUE) Error en ChooseK_sil(y, y2 = y, n0, alpha, eps, itmax, second, K2.vec, : el objeto (list) no puede ser coercionado a 'double' Last line would be the object could (list) not be coerced to ´double´ What can be the problem? Yhanks

Dear experts, I am looking for a package that does logistic regression with corssvalidation and gives me the probabilites of all the corssvalidations so that I can plot them in ROCR. Would also like to know if the corssvalidate model would give me a summary coefficient for the intercept and my to predictors. Thank you. Best regards, Jon Toledo, MD Postdoctoral fellow University of Pennsylvania

Dear R community I have tried to run the diagnostics on my lm object with the gvlma package but it gave me an error with the following message: Non compatible arguments I post here my syntax and session info: RegreC3<-lm(Classification_Score~C3L+Age_+Dx,data=DB1)summary(RegreC3) library(gvlma)gvmodel <- gvlma(RegreC3) R version 2.13.1 (2011-07-08)Platform: i386-pc-mingw32/i386 (32-bit)

Problem on flexmix when trying to apply signature developed in one model to a new sample. Dear R Users, R Core Team, I have a problem when trying to know the classification of the tested cases using two variables with the function of flexmix: After importing the database and creating a matrix: BM<-cbind(Data$var1,Data$var2) I see that the best model has 2 groups and use: ex2