README.rdoc in davidrichards-just_enumerable_stats-0.0.11 vs README.rdoc in davidrichards-just_enumerable_stats-0.0.12

@@ -21,59 +21,66 @@
   => 0.981980506061966
 
 The list of methods are:
 
 * average
-* avg (average)
+* avg
 * cartesian_product
+* categories
+* category_values
 * compliment
-* cor (correlation)
+* cor
 * correlation
-* cp (cartesian_product)
-* cum_max (cumulative_max)
-* cum_min (cumulative_min)
-* cum_prod (cumulative_product)
-* cum_sum (cumulative_sum)
+* count_if
+* covariance
+* cum_max
+* cum_min
+* cum_prod
+* cum_sum
 * cumulative_max
 * cumulative_min
 * cumulative_product
 * cumulative_sum
 * default_block
 * default_block=
+* dichotomize
 * euclidian_distance
 * exclusive_not
 * intersect
+* is_numeric?
 * max
 * max_index
 * max_of_lists
-* mean (average)
+* mean
 * median
 * min
 * min_index
 * min_of_lists
 * new_sort
 * order
-* original_max
-* original_min
-* permutations (cartesian_product)
+* pearson_correlation
+* permutations
 * product
 * quantile
 * rand_in_range
 * range
 * range_as_range
 * range_class
-* range_class=
+* range_instance
 * rank
+* set_range
+* set_range_class
 * sigma_pairs
 * standard_deviation
-* std (standard_deviation)
+* std
 * sum
-* tanimoto_correlation (tanimoto_pairs)
+* tanimoto_correlation
 * tanimoto_pairs
+* to_f!
 * to_pairs
 * union
-* var (variance)
+* var
 * variance
 * yield_transpose
 
 One of the more interesting methods is yield_transpose:
 
@@ -95,10 +102,57 @@
   a.default_block = lambda {|e| e * 2}
   a.sum
   # => [2,4,6]
   a.std
   # => 2.0 instead of 1.0
-    
+  
+== Scaling
+
+There are a few new features for scaling data:
+
+  >> a = [1,2,3]
+  => [1, 2, 3]
+  >> a.scale(2)
+  => [2, 4, 6]
+  >> a
+  => [1, 2, 3]
+  >> a.scale!(2)
+  => [2, 4, 6]
+  >> a
+  => [2, 4, 6]
+  >> a.scale {|e| e - 1}
+  => [1, 3, 5]
+  >> a
+  => [2, 4, 6]
+  >> a.scale! {|e| e - 1}
+  => [1, 3, 5]
+  >> a                   
+  => [1, 3, 5]
+  >> a.scale_between(3,4)
+  => [3.0, 3.5, 4.0]
+  >> a
+  => [1, 3, 5]
+  >> a.scale_between!(3,4)
+  => [3.0, 3.5, 4.0]
+  >> a
+  => [3.0, 3.5, 4.0]
+  >> a = [1,2,3]
+  => [1, 2, 3]
+  >> a.normalize
+  => [0.166666666666667, 0.333333333333333, 0.5]
+  >> a      
+  => [1, 2, 3]
+  >> a.normalize!
+  => [0.166666666666667, 0.333333333333333, 0.5]
+  >> a
+  => [0.166666666666667, 0.333333333333333, 0.5]
+
+Basically:
+
+* scale can scale by a number or with a block.  The block is a transformation for a single element.
+* scale_between sets the minimum and maximum values, and keeps each value proportionate to each other.
+* normalize calculates the percentage of an element to the whole.
+
 == Categories
 
 Once I started using this gem with my distribution table classes, I needed to have flexible categories on an enumerable.  What that looks like is:
 
   Loading Just Enumerable Stats version: 0.0.4