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Hello, I have a vector containing strings of simple operation methods. methods <- c("mean","sd","median") e.g. Now, I'd like to apply these methods to my data and I thought, I could make a do.call. But these methods don't need any further arguments... Do I have to create an empty argument list? I wanted to use a tapply( data, factor, ??? do.call

Hi, all. The help file for tapply says that if simplify is true, and the result of the calculation is always a scalar, then tapply will return a vector. Nonetheless: > t1 <- tapply(runif(10), rep(1:5, 2), mean) > is.vector(t1) [1] FALSE > is.array(t1) [1] TRUE > I have found this in version 0.65.1 on an SGI running Irix 6.5, and on a Mac running Linux-PPC. I've also

Hi all, We are facing a problem while introducing ourselves to Reshape package use. Melt seems to work fine, but cast fails when we use mean as fun.aggregate. As you see here, length and sum work fine, but mean throws this same error whatever dataset we use. > cast(aqm, month ~ variable, length) month ozone solar.r wind temp 1 5 26 27 31 31 2 6 9 30 30

The code below illustrates some points about results from tapply that I find strange. I wonder if they are intended and if so why it is so. 1) When you make a table the dimnames is a *named* list, tapply returns an unnamed list. 2) data.frame behaves differently on an array and a table. Is this an intended feature? 3) For tables class(TAB) and attr(TAB,"class") both return