title: calculate outlier_score in R
body: <pre><code>    dput(x)
  structure(list(Date = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 3L, 
  3L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L), .Label = c("1/1/2012", 
  "2/1/2012", "3/1/2012", "4/1/2012", "5/1/2012", "6/1/2012"), class = "factor"), 
      Continent = structure(c(3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 
      3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L), .Label = c("Asia", "Europe", 
      "South America"), class = "factor"), Score = c(10L, 4L, 9L, 
      1L, 9L, 3L, 10L, 0L, 0L, 10L, 4L, 9L, 10L, 4L, 9L, 0L, 0L, 
      5L), Country = structure(c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 
      3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), .Label = c("Brasil", 
      "China", "Germany"), class = "factor"), mean = c(6.83333333333333, 
      3.5, 5.83333333333333, 6.83333333333333, 3.5, 5.83333333333333, 
      6.83333333333333, 3.5, 5.83333333333333, 6.83333333333333, 
      3.5, 5.83333333333333, 6.83333333333333, 3.5, 5.83333333333333, 
      6.83333333333333, 3.5, 5.83333333333333), sd = c(4.91596040125088, 
      3.33166624979154, 3.81663027639129, 4.91596040125088, 3.33166624979154, 
      3.81663027639129, 4.91596040125088, 3.33166624979154, 3.81663027639129, 
      4.91596040125088, 3.33166624979154, 3.81663027639129, 4.91596040125088, 
      3.33166624979154, 3.81663027639129, 4.91596040125088, 3.33166624979154, 
      3.81663027639129), outlier1 = c(FALSE, FALSE, FALSE, TRUE, 
      TRUE, FALSE, FALSE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, 
      FALSE, FALSE, TRUE, TRUE, FALSE)), .Names = c("Date", "Continent", 
  "Score", "Country", "mean", "sd", "outlier1"), row.names = c(NA, 
  -18L), class = c("data.table", "data.frame"), .internal.selfref = &lt;pointer: 0x0000000005e70788&gt;)
  </code></pre>
  
  <p>I have calculated mean, sd and outlier1 for each country. I would like apply a outlier_score to each country to rank them. Can Somebody give any pointers how to calculate the outlier score on this data set?</p>