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> library(robustbase)
> 
> source(system.file("xtraR/styleData.R", package = "robustbase"))  # -> smallD  list of small datasets
> str(smallD,, 20)
List of 23
 $ x0   : num(0) 
 $ x1I  : num Inf
 $ x1   : num 3
 $ xII  : num [1:2] -Inf Inf
 $ x2I  : num [1:2] -Inf 9
 $ x2   : int [1:2] 1 2
 $ x3.2I: num [1:3] -Inf 9 Inf
 $ x3I  : num [1:3] -Inf 9 11
 $ x3   : num [1:3] 1 2 10
 $ y    : int [1:10] 1 2 3 4 5 6 7 8 9 10
 $ y1   : num [1:11] 1 2 3 4 5 6 7 8 9 10 100
 $ y.   : int [1:11] 1 2 3 4 5 6 7 8 9 10 11
 $ xC.  : num [1:11] 1 1 1 1 1 1 1 1 1 1 1
 $ yI   : num [1:12] 1 2 3 4 5 6 7 8 9 10 100 Inf
 $ y2   : num [1:12] 1 2 3 4 5 6 7 8 9 10 100 1000
 $ y1.  : num [1:12] 1 2 3 4 5 6 7 8 9 10 11 100
 $ xC1. : num [1:12] 1 1 1 1 1 1 1 1 1 1 1 10
 $ xC   : num [1:12] 1 1 1 1 1 1 1 1 1 1 1 1
 $ yI.  : num [1:13] 1 2 3 4 5 6 7 8 9 10 11 100 Inf
 $ y2.  : num [1:13] 1 2 3 4 5 6 7 8 9 10 11 100 1000
 $ xC2. : num [1:13] 1 1 1 1 1 1 1 1 1 1 1 10 100
 $ xC1  : num [1:13] 1 1 1 1 1 1 1 1 1 1 1 1 10
 $ xC2  : num [1:14] 1 1 1 1 1 1 1 1 1 1 1 1 10 100
> 
> lx <- lapply(smallD,
+              function(x) {
+                  m <- mad(x)
+                  hx <-
+                      if(!is.na(m) && m > 0 && m != Inf) # in all these cases, MASS::huber() fails
+                          MASS::huber(x)
+                      else list(m=NA, s=NA)
+                  hMx <- huberM(x)
+                  list(loc =
+                       c(median = median(x),
+                         huber  =  hx$m,
+                         huberM = hMx$m),
+                       scale=
+                       c(mad    = m,
+                         huber  =  hx$s,
+                         huberM = hMx$s))
+              })
> 
> 
> r <- list(mu = sapply(lx, function(x) x$loc),
+           s  = sapply(lx, function(x) x$scale))
> r
$mu
       x0 x1I x1 xII  x2I  x2 x3.2I      x3I       x3   y       y1 y. xC.
median NA Inf  3 NaN -Inf 1.5     9 9.000000 2.000000 5.5 6.000000  6   1
huber  NA  NA NA  NA   NA 1.5    NA 7.776102 2.611949 5.5 6.167169  6  NA
huberM NA Inf  3 NaN -Inf 1.5     9 7.776102 2.611949 5.5 6.167169  6   1
             yI       y2      y1. xC1. xC      yI.      y2. xC2. xC1 xC2
median 6.500000 6.500000 6.500000    1  1 7.000000 7.000000    1   1   1
huber  6.834339 6.834339 6.606518   NA NA 7.213034 7.213034   NA  NA  NA
huberM 6.834339 6.834339 6.606518    1  1 7.213034 7.213034    1   1   1

$s
       x0 x1I x1 xII x2I     x2 x3.2I    x3I     x3      y     y1     y. xC.
mad    NA  NA  0  NA  NA 0.7413   Inf 2.9652 1.4826 3.7065 4.4478 4.4478   0
huber  NA  NA NA  NA  NA 0.7413    NA 2.9652 1.4826 3.7065 4.4478 4.4478  NA
huberM NA   0  0   0   0 0.7413   Inf 2.9652 1.4826 3.7065 4.4478 4.4478   0
           yI     y2    y1. xC1. xC    yI.    y2. xC2. xC1 xC2
mad    4.4478 4.4478 4.4478    0  0 4.4478 4.4478    0   0   0
huber  4.4478 4.4478 4.4478   NA NA 4.4478 4.4478   NA  NA  NA
huberM 4.4478 4.4478 4.4478    0  0 4.4478 4.4478    0   0   0

> 
> cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons''
Time elapsed:  0.29 0.15 0.39 NA NA 
> 
> proc.time()
   user  system elapsed 
   0.29    0.15    0.39