Vector.md in red_amber-0.2.0

- old
+ new

@@ -143,11 +143,11 @@
 | ✓ `mean`    |  ✓  |  ✓  |     | ✓ ScalarAggregate|     |
 | ✓ `min`     |  ✓  |  ✓  |  ✓  | ✓ ScalarAggregate|     |
 | ✓ `min_max` |  ✓  |  ✓  |  ✓  | ✓ ScalarAggregate|     |
 |[ ]`mode`    |     | [ ] |     |[ ] Mode    |     |
 | ✓ `product` |  ✓  |  ✓  |     | ✓ ScalarAggregate|     |
-|[ ]`quantile`|     | [ ] |     |[ ] Quantile|     |
+| ✓ `quantile`|     |  ✓  |     | ✓ Quantile|Specify probability in (0..1) by a parameter (default=0.5)|
 | ✓ `sd    `  |     |  ✓  |     |          |ddof: 1 at `stddev`|
 | ✓ `stddev`  |     |  ✓  |     | ✓ Variance|ddof: 0 by default|
 | ✓ `sum`     |  ✓  |  ✓  |     | ✓ ScalarAggregate|     |
 |[ ]`tdigest` |     | [ ] |     |[ ] TDigest |     |
 | ✓ `var    `|     |  ✓  |     |   |ddof: 1 at `variance`<br>alias `unbiased_variance`|
@@ -300,9 +300,13 @@
   vector.value_counts #=> {NaN=>2}
   ```
 ### `index(element)`
 
   Returns index of specified element.
+
+### `quantiles(probs = [1.0, 0.75, 0.5, 0.25, 0.0], interpolation: :linear, skip_nils: true, min_count: 0)`
+
+  Returns quantiles for specified probabilities in a DataFrame.
 
 ### `sort_indexes`, `sort_indices`, `array_sort_indices`
 
 ### [ ] `sort`, `sort_by`
 ### [ ] argmin, argmax