compute-midmean - npm Package Compare versions

Comparing version 1.0.1 to 1.0.3

lib/index.js

@@ -64,2 +64,5 @@ /**
 	}
+	if ( arr.length < 3 ) {
+		throw new TypeError( 'midmean()::invalid input argument. Midmean not applicable.' );
+	}
 	if ( !sorted ) {
@@ -73,11 +76,17 @@ arr = arr.slice();
 		delta,
-		q1,
-		q3;
+		low,
+		high;
 
-	// Get the indices for the first and third quartiles...(zero base)
-	q1 = Math.floor( len*0.25 );
-	q3 = Math.floor( len*0.75 );
+	// Quartiles sit between values...
+	if ( len%4 === 0 ) {
+		low = len*0.25;
+		high = len*0.75 - 1;
+	}
+	else {
+		low = Math.ceil( len*0.25 );
+		high = Math.floor( len*0.75 ) - 1;
+	}
 
 	// Compute an arithmetic mean...
-	for ( var i = q1, j = q3+1; i < j; i++ ) {
+	for ( var i = low; i <= high; i++ ) {
 		N += 1;
@@ -84,0 +93,0 @@ delta = arr[ i ] - mean;

package.json

 {
   "name": "compute-midmean",
-  "version": "1.0.1",
+  "version": "1.0.3",
   "description": "Computes the interquartile mean (midmean) of a numeric array.",
@@ -5,0 +5,0 @@ "author": {

README.md

@@ -64,3 +64,2 @@ Midmean
 
-
 ## Notes
@@ -70,3 +69,9 @@
 
+The midmean includes the values located between *but not including* the first and third quartiles. In the following examples, the values included in the midmean are in bold.
 
+* 	[1,2,__3,4,5,6__,7,8] -> midmean: 4.5
+*	[1,2,__3,4,5__,6,7] -> midmean: 4
+
+
+
 ## Tests
@@ -73,0 +78,0 @@

No alert changes

Improved metrics

Total package byte prevSize

8017

increased by5.51%

Lines of code

89

increased by11.25%

Number of lines in readme file

131

increased by3.97%

No dependency changes