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...ncol = 10) x.big <- data.frame(x) latex(x.big,"",label="tab:nice",file="",longtable=TRUE, dec=2,landscape=TRUE, caption='longtable generated with Hmisc.') @ \section{Results} \subsection{Sampling effort} Weekly sampling effort throughout the 2006 brood-year emigration period was highly variable and ranged from 0.21 to 1.00 (0 = 0.74, N = 52 weeks; Table 1). Weekly sampling effort ranged from 0.21 to 1.00 (0 = 0.73, N = 26 weeks) between July and December, the period of greatest juvenile winter Chinook emigration, and 0.21 to 1.00 (0 = 0.75, N = 26 weeks)...

Hi R experts I'm trying to emigrate from SPSS to R, thou I have some problems whit getting R to distinguish between the different kind of missing. I want to distinguish between data that are missing because a respondent refused to answer and data that are missing because the question didn't apply to that respondent. In...

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Dear All, I would like to apply two different "for loops" to each set of four columns of a matrix (the loops here are simplifications of the actual loops I will be running which involve multiple if/else statements). I don't know how to "alternate" between the loops depending on which column is "running through the loop" at the time. ## Set up matrix J <- 10 N

...t; latex(x.big,"",label="tab:nice",file="",longtable=TRUE, > dec=2,landscape=TRUE, > caption='longtable generated with Hmisc.') > @ > > \section{Results} > \subsection{Sampling effort} > Weekly sampling effort throughout the 2006 brood-year emigration period was > highly variable and ranged > from 0.21 to 1.00 (0 = 0.74, N = 52 weeks; Table 1). Weekly sampling > effort ranged from 0.21 to 1.00 (0 = 0.73, N = 26 weeks) > between July and December, the period of greatest juvenile winter Chinook > emigration, and 0.21 to 1.00 (...