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...er had any problems. Actually last time i used it was last Friday very successfully. Anyway, today anytime i want to use the function "fit.models" i get the following error even if i use the example form the help file: data(woodmod.dat) woodmod.fm <- fit.models(list(Robust = "covRob", Classical = "cov"), data = woodmod.dat) Error in donostah(data, control) : object ".Random.seed" not found Error in model.list[[i]] : subscript out of bounds Does anybody know what is wrong? Thanks, Monica Palaseanu-Lovejoy USGS / ETI Pro St. Petersburg, FL ________...

hello,Everyone! I am a freshman to use R. Can anybody tell me where has scor function which achieves the skipped correlation? Thank you very much! Bset wishes! Jiaolong Qin [[alternative HTML version deleted]]

...e to be univariate normal in order to correctly estimate the significance of the correlation? If the above is true, what are the preferable alternatives for non-gaussian data (including heavy-tailed normal)? non-parametric tests (spearman, kendall)? the robust MASS::cov.mcd, rrcov::CovOgk, robust::covRob()? hypothesis testing via Permutation Tests [4]? is there a robust cor.test? other robust tests of independence? Thank you, Liviu [1] http://www.nabble.com/Correlation-on-Tick-Data-tp18589474p18595197.html [2] http://en.wikipedia.org/wiki/Correlation#Sensitivity_to_the_data_distribution [3] http:...