search for: insigth

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2003 Aug 07
2
Statistical analysis of huge datasets.
Dear R-users, I am faced with the problem of analyzing a huge dataset (+ 2 million records, +150 variables) which does not fit into memory. I would like to know if there are pre-packaged tools (in the spirit of Insigthful I-Miner, for instance) aimed at subsampling or splitting the dataset into data-frameable subdatasets, applying functions record-wise, etc. Thank you very much for your help. Carlos J. Gil Bellosta Sigma Consultores Estad?sticos http://www.consultoresestadisticos.com
2009 Aug 10
1
manipulating text to generate different formulas to use in nls()
...A4=inip$Amplitude[4], P4=inip$Phase[4], f1=1/inip$period[1], f2=1/inip$period[2], f3=1/inip$period[3], f4=1/inip$period[4]) ) ## not run. These two will be used in res <- nls(modl, data=data.frame(y, x), start=initP) Thank you in advance for any insigth. H?ctor -- H?ctor Villalobos <hvillalo at ipn.mx> CICIMAR - IPN A.P. 592. Col. Centro La Paz, Baja California Sur, M?XICO. 23000 Tels. (+52 612) 122 53 44; 123 46 58; 123 47 34 ext. 82425 Fax. (+52 612) 122 53 22