Hi
I noticed that nobody answered your question yet so here is my try.
If you want to see what objects are in your environment you can use ls()
but its output is only names of objects. Here is a function I use a long
time for checking what objects are there, their type, size and possibly
rows columns. You can modify it to give you some more info but usually it
is not needed.
Regards
Petr
ls.objects <- function (pos = 1, pattern, order.by)
{
? ?napply <- function(names, fn) sapply(names, function(x) fn(get(x,
? ? ? ?pos = pos)))
? ?names <- ls(pos = pos, pattern = pattern)
? ?obj.class <- napply(names, function(x) as.character(class(x))[1])
? ?obj.mode <- napply(names, mode)
? ?obj.type <- ifelse(is.na(obj.class), obj.mode, obj.class)
? ?obj.size <- napply(names, object.size)
? ?obj.dim <- t(napply(names, function(x) as.numeric(dim(x))[1:2]))
? ?vec <- is.na(obj.dim)[, 1] & (obj.type != "function")
? ?obj.dim[vec, 1] <- napply(names, length)[vec]
? ?out <- data.frame(obj.type, obj.size, obj.dim)
? ?names(out) <- c("Type", "Size", "Rows", "Columns")
? ?if (!missing(order.by))
? ? ? ?out <- out[order(out[[order.by]]), ]
? ?out
}