is a simple wrapper for unlist() with
      recursive=FALSE.
gets a list x with elements that are named
      lists of length five, see x below, and converts it to an
      array of lists.
(optionally) converts a result list to an array using
      mkAL() and (optionally) saves it to a file via saveRDS().
if the provided .rds file exists, this function
      reads it via readRDS(); otherwise, nothing is done.
gets an array of 4-lists as returned
      by mkAL(), picks out the specified component comp,
      applies the specified function FUN (with useful defaults),
      and builds an array.
auxiliary function to convert an array to a
      data.frame (correctly dealing with n.sim).
ul(x)mkAL   (x, vList, repFirst, check=TRUE)
saveSim(x, vList, repFirst, sfile, check=TRUE, doAL=TRUE)
maybeRead(sfile, msg=TRUE)
getArray(x, comp=c("value", "error", "warning", "time"),
         FUN=NULL, err.value=NA)
array2df(x, responseName = "value")
For
the unlisted list; see unlist().
the array returned by
      mkAL().
the object read by readRDS() from
      sfile or nothing (if sfile does not exist).
an array containing the values
      of the specified component comp after applying FUN
      to them.  The default FUN produces an array,
      depending on comp, of
values or err.value (in case of an error)
logicals indicating whether there was an error
logicals indicating whether there was a warning
timings as returned by doCallWE(),
	  i.e., typically (from mkTimer's
	  proc.time()[1]) the number of milliseconds
	  of “"CPU user time"”.
a data.frame with several columns
      built from the dimnames(x) and a column named
      responseName with the values of x.
for
a list.
a list (of length
        n.sim * nrow(pGrid))
	where each element is a list of length
	five, containing the named elements "value",
         "error", "warning", "time", and
         ".Random.seed", the first four as returned by
         doCallWE().
an array of lists as
	returned by mkAL().
a numeric array as returned by
	getArray(*, "value").
a list of variable specifications.  Each
    variable specification is itself a named list which must contain a
    "value" component.
logical; must match the value of repFirst
    in the x <- do*Apply() call where x has been created.
logical activating consistency checks for
    x.
a file name, typically with extension .rds or NULL.
logical indicating if mkAL() should
    be called, or rather just x be saved.
logical indicating whether a message is
    printed when an object is read from sfile.
numeric which is used to replace the
    value of the array entry in case of an error.
character string denoting the component.
function to be applied right before the resulting array
    array is constructed.
(for arrady2df():) a string specifying the
    name of the “value” column of the resulting data frame.
Marius Hofert and Martin Maechler.
mkAL() is useful when creating arrays from result
  lists returned from large(r) simulation studies which use
  doCallWE(). To create a proper argument x for
  mkAL(), the function ul() turns out to
  be useful to (stepwise) unlist nested lists.
getArray() converts arrays of lists as returned by
  mkAL() to an array of numeric (or
  logical, see below) after applying the specified FUN.
  
  In case of an error, the corresponding entry in the resulting array is
  replaced by err.value.
The default FUN converts possible errors and warnings to
  logical (indicating whether there was a error or
  warning, respectively) and run times to numeric.  For
  comp="value", the situation is trickier.  First of all, the
  resulting array contains dimensions for variables of type
  “inner” and, if greater than 1, for the variable of type
  “N” (typically called "n.sim"); see the vignette for
  details.
  
  Use FUN = identity to get at the full error or warning objects,
  for comp = "error" or for comp = "warning", respectively.
saveSim() and maybeRead() are
  useful for creating and (re)storing arrays from large(r) simulation
  studies (to avoid recomputation, to ease the data analysis etc.).
  saveSim() calls mkAL(), nowadays wrapped in
  tryCatch(.), such that the simulation is not lost, even
  when the resulting format cannot correctly be treated by
  mkAL().  Consequently, doAL is not much needed anymore.
  Note that both saveSim() and maybeRead() accept
  sfile=NULL in which case nothing is saved or read.
see simsalapar-package.
if (FALSE) {
## Get at the full error objects, notably (message, call):
errObjs <- getArray(res, "error", FUN=identity)
}
if(FALSE) ## A longer, "interesting" example is in
 demo(robust.mean)
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