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type of objects in last session

4 messages · Marco, Ivan Calandra, Duncan Murdoch +1 more

Original
Marco
# 
Sometimes I comeback with a session months later. I would like to know
the type of variables I have in. So I tried:
ago_ts       ago_ts.1       ago_ts.2        annualy           conn 
   "character"    "character"    "character"    "character"    "character" 
         d_jul             df          diffs              f            fit 
   "character"    "character"    "character"    "character"    "character" 
             i            ibm        ibm_url     increments increments_jul 
   "character"    "character"    "character"    "character"    "character" 
        jul_ts           lago       lnkd_url          model      model_jul 
   "character"    "character"    "character"    "character"    "character" 
            op           rain              t             t2            ts_ 
   "character"    "character"    "character"    "character"    "character" 

And I noticed everything is type "character".
Obviously wrong answer. So How can I have the right answer ?

Thanks
Ivan Calandra
# 
Maybe "mode" or "class" instead of "typeof"?

Ivan

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Le 01/08/2016 ? 15:28, Marco Silva a ?crit :
Duncan Murdoch
#
On 01/08/2016 9:28 AM, Marco Silva wrote:
The ls.str() function probably does what you want.

If you wanted to do it with sapply (e.g. because you want just typeof(), 
not everything else), you need to take account of the fact that ls() 
returns a character vector, so you have to get the objects with those 
names before calling typeof.  For example,

sapply(ls(), function(name) typeof(get(name)))

Duncan Murdoch
PIKAL Petr
# 
Hi

Long time ago I (with some help from R help list) made following function, which is maybe less comprehensive as ls.str but I find it quite handy.

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
}

Just issue
ls.objects()

in your working directory.

Cheers
Petr
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