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So I have to use this table of min, max, and mean temps for certain years http://www.stat.berkeley.edu/classes/s133/data/january.tab. I am supposed to figure out which year had the hottest January and which had the coldest. But I dont know how to! Nick Manginelli [[alternative HTML version deleted]]

...uter based teaching materials on DOS and had to get acceptable performance out of the hardware available way back then.. Consequently, I have no idea what this warning means or what I ought to do about it. I assume the DLL it is referring to is libmySQL.dll<http://www.stat.berkeley.edu/classes/s133/libmySQL.dll>, which RMySQL needs. But I have no idea either why it would do what R says it is doing or why it matters to me, or what I ought to do about it. I'd appreciate any info you can provide. Thanks Ted [[alternative HTML version deleted]]

Hi All, My R installation is acting strangely and I'm hoping somebody might have an idea what's going on: I can't seem to load the "RMySQL" function. It seems to have installed without a problem, but when I enter: library(RMySQL) R tells me: Error in utils::readRegistry("SOFTWARE\\MySQL AB", hive = "HLM", maxdepth = 2) : Registry key

I'm trying to figure out about factors, however the on-line documentation is rather sparse. I guess, factors are intended for grouping arrays members into categories, which R names "Levels". And so we have: * state <- c("tas", "sa", "qld", "nsw", "nsw", "nt", "wa", "wa",

Buenas, esta pregunta es un poco elemental, pero estoy haciendo mis primeras experiencias en R. Yo tengo un CSV con el siguiente formato... fecha;Gastos;media móvil;Holt Winter 31/08/02;2498,5;;2498,5 29/09/02;2250,93;2320,63;2424,229 31/10/02;2212,46;2097,87;2360,6983 30/11/02;1830,22;2092,78;2201,55481 ,,,,,,, los guardo en un dataframe con gastos=read.csv2("indice_gastos.csv"),