R/lsos.r

In swish-climate-impact-assessment/swishdbtools: Database tools for use with the SWISH and CARDAT projects

################################################################
# name:lsos
   .ls.objects <- function (pos = 1, pattern, order.by,
                          decreasing=FALSE, head=FALSE, n=5) {
      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.prettysize <- sapply(obj.size, function(r) prettyNum(r, big.mark = ",") )
      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.prettysize, obj.dim)
      names(out) <- c("Type", "Size", "PrettySize", "Rows", "Columns")
      if (!missing(order.by))
          out <- out[order(out[[order.by]], decreasing=decreasing), ]
          out <- out[c("Type", "PrettySize", "Rows", "Columns")]
          names(out) <- c("Type", "Size", "Rows", "Columns")
      if (head)
          out <- head(out, n)
      out
  }
  
  lsos <- function(..., n=10) {
      .ls.objects(..., order.by="Size", decreasing=TRUE, head=TRUE, n=n)
  }