sampson - npm Package Compare versions

Comparing version 0.2.1 to 0.2.2

dist/lib.min.js

@@ -1,1 +0,1 @@
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o=g.get(Object.getPrototypeOf(e),"random",this).call(this);return this.random({a:1+n,b:a})*Math.pow(o,1/n)}for(var i=void 0,u=void 0,s=void 0,l=n-1/3,f=1/Math.sqrt(9*l);;){do i=z.random({mu:0,sigma:1}),u=1+f*i;while(0>=u);for(u=u*u*u;!s;)s=g.get(Object.getPrototypeOf(e),"random",this).call(this);if(1-.0331*i*i*i*i>s)break;if(Math.log(s)<.5*i*i+l*(1-u+Math.log(u)))break}return l*u/a}},{key:"pdf",value:function(t,e){var r=this.validate(e),n=r.a,o=r.b;if("number"!=typeof t)throw new Error("x must be a number.");return 0>t?0:0==t?1==n?o:0:1==n?Math.exp(-t*o)*o:Math.exp((n-1)*Math.log(t*o)-t*o-a(n))*o}},{key:"cdf",value:function(t,e){var r=this.validate(e),n=r.a,a=r.b;if("number"!=typeof t)throw new Error("x must be a number.");return 0>=t?0:i(n,t*a)}},{key:"mean",value:function(t){var e=this.validate(t),r=e.a,n=e.b;return r/n}},{key:"variance",value:function(t){var e=this.validate(t),r=e.a,n=e.b;return r/(n*n)}},{key:"stdDev",value:function(t){var e=this.validate(t),r=e.a,n=e.b;return Math.sqrt(r/(n*n))}},{key:"relStdDev",value:function(t){var e=this.validate(t),r=e.a;e.b;return 1/Math.sqrt(r)}},{key:"skewness",value:function(t){var e=this.validate(t),r=e.a;e.b;return 2/Math.sqrt(r)}},{key:"kurtosis",value:function(t){var e=this.validate(t),r=e.a;e.b;return 6/r}}]),e}(x);R.covariates=2;var I=14,T=function(t){function r(){return g.classCallCheck(this,r),g.possibleConstructorReturn(this,Object.getPrototypeOf(r).apply(this,arguments))}return g.inherits(r,t),g.createClass(r,null,[{key:"validate",value:function(t){if(!t||void 0===t.n||void 0===t.p)throw new Error("need a parameter object of shape { n: number, p: number }.");var e=t.n,r=t.p;if("number"!=typeof r||r>1||0>r)throw new Error("p must be between zero and one inclusive.");if("number"!=typeof e||0>e)throw new Error("n must be positive or zero.");return t}},{key:"random",value:function(t){var e=this,n=this.validate(t),a=n.n,o=n.p;if(0==a)return 0;var i=!1,u=0,s=void 0;o>.5?(i=!0,s=1-o):s=o;var l=1-s,f=s/l,v=a*s;if(I>v)for(var h=Math.pow(l,a),c=g.get(Object.getPrototypeOf(r),"random",this).call(this);a>=u&&c>=h;)c-=h,h*=f*(a-u)/(u+1),u++;else!function(){var t=v+s,n=Math.floor(t),o=n+.5,i=v*l,f=Math.floor(2.195*Math.sqrt(i)-4.6*l)+.5,h=o-f,c=o+f,d=.134+20.5/(15.3+n),m=f*(1+d+d),p=(t-h)/(t-h*s),y=p*(1+.5*p),b=(c-t)/(c*l),M=b*(1.5+b),w=m+d/y,N=w+d/M,C=void 0,O=void 0,E=void 0,q=void 0,D=function j(){if(E=g.get(Object.getPrototypeOf(r),"random",e).call(e)*N,q=g.get(Object.getPrototypeOf(r),"random",e).call(e),f>=E)u=Math.floor(o-f*q+E);else if(m>=E){var t=h+(E-f)/d;q=q*d+1-Math.abs(t-o)/f,q>1||0>=q?j():u=t}else w>=E?(u=Math.floor(h+Math.log(q)/y),q*=(E-m)*y):(u=Math.floor(c-Math.log(q)/M),q*=(E-w)*M);C=Math.log(q);var i=u+1,v=a-u-1,p=n+1,b=a+1-n;O=o*Math.log(p/i)+(a-n+.5)*Math.log(b/v)+(u-n)*Math.log(v*s/(i*l))+k(p)+k(b)-k(i)-k(v),C>O&&j()};D()}();return Math.floor(i?a-u:u)}},{key:"pdf",value:function(t,r){var n=this.validate(r),a=n.n,o=n.p;if("number"!=typeof t)throw new Error("k must be a number.");if(0>t||t>a)return 0;var i=void 0;if(0==o)i=0==t?1:0;else{if(1!=o){var u=e(a,t),s=Math.pow(o,t)*Math.pow(1-o,a-t);return"Infinity"==u?0==s?0:u:u*s}i=t==a?1:0}return i}},{key:"cdf",value:function(t,r){var n=this.validate(r),a=n.n,o=n.p;if("number"!=typeof t)throw new Error("k must be a number.");return 0>t?0:t>a?1:Array.apply(null,Array(Math.floor(t)+1)).map(function(t,r){return e(a,r)*Math.pow(o,r)*Math.pow(1-o,a-r)}).reduce(function(t,e){return t+e},0)}},{key:"mean",value:function(t){var e=this.validate(t),r=e.n,n=e.p;return r*n}},{key:"variance",value:function(t){var e=this.validate(t),r=e.n,n=e.p;return r*n*(1-n)}},{key:"stdDev",value:function(t){var e=this.validate(t),r=e.n,n=e.p;return Math.sqrt(r*n*(1-n))}},{key:"relStdDev",value:function(t){var e=this.validate(t),r=e.n,n=e.p;return Math.sqrt((1-n)/(r*n))}},{key:"skewness",value:function(t){var e=this.validate(t),r=e.n,n=e.p;return(1-2*n)/Math.sqrt(r*n*(1-n))}},{key:"kurtosis",value:function(t){var e=this.validate(t),r=e.n,n=e.p;return 3-6/r+1/(r*n*(1-n))}}]),r}(x);T.covariates=2,T.discrete=!0;var _=function(t){function e(t){return g.classCallCheck(this,e),g.possibleConstructorReturn(this,Object.getPrototypeOf(e).call(this,g["extends"]({},t,{n:1})))}return g.inherits(e,t),g.createClass(e,null,[{key:"random",value:function(t){var e=this.validate(g["extends"]({},t,{n:1})),r=e.p,n=x.random();return r>n?1:0}},{key:"pdf",value:function(t,e){var r=this.validate(g["extends"]({},e,{n:1})),n=r.p;if("number"!=typeof t)throw new Error("k must be a number.");return 0==t?1-n:1==t?n:0}},{key:"cdf",value:function(t,e){var r=this.validate(g["extends"]({},e,{n:1})),n=r.p;if("number"!=typeof t)throw new Error("k must be a number.");return 1==t?n:0==t?1-n:NaN}}]),e}(T);_.covariates=1;var B=function(t){function e(){return g.classCallCheck(this,e),g.possibleConstructorReturn(this,Object.getPrototypeOf(e).apply(this,arguments))}return g.inherits(e,t),g.createClass(e,null,[{key:"validate",value:function(t){if(!t||void 0===t.df)throw new Error("need a parameter object of shape { df: number }.");var e=t.df;if("number"!=typeof e||0>=e)throw RangeError("df must be greater than zero.");return t}},{key:"random",value:function(t){var e=this.validate(t),r=e.df;return 2*R.random({a:r/2,b:1})}},{key:"pdf",value:function(t,e){var r=this.validate(e),n=r.df;if("number"!=typeof t)throw new TypeError("x must be a number");return 0>t?0:2==n?Math.exp(-t/2)/2:Math.exp((n/2-1)*Math.log(t/2)-t/2-a(n/2))/2}},{key:"cdf",value:function(t,e){var r=this.validate(e),n=r.df;if("number"!=typeof t)throw new TypeError("x must be a number");return 0>t?0:2==n?1-Math.exp(-t/2):i(n/2,t/2)}},{key:"mean",value:function(t){var e=this.validate(t),r=e.df;return r}},{key:"variance",value:function(t){var e=this.validate(t),r=e.df;return 2*r}},{key:"stdDev",value:function(t){var e=this.validate(t),r=e.df;return Math.sqrt(2*r)}},{key:"relStdDev",value:function(t){var e=this.validate(t),r=e.df;return Math.sqrt(2/r)}},{key:"skewness",value:function(t){var e=this.validate(t),r=e.df;return Math.pow(2,1.5)/Math.sqrt(r)}},{key:"kurtosis",value:function(t){var e=this.validate(t),r=e.df;return 3+12/r}}]),e}(x);B.covariates=1;var F=function(t){function e(){return g.classCallCheck(this,e),g.possibleConstructorReturn(this,Object.getPrototypeOf(e).apply(this,arguments))}return g.inherits(e,t),g.createClass(e,null,[{key:"validate",value:function(t){if(!t||void 0===t.df)throw new Error("need a parameter object of shape { df: number }.");var e=t.df;if("number"!=typeof e||0>=e)throw RangeError("df must be greater than zero.");return t}},{key:"random",value:function(t){var e=this.validate(t),r=e.df;if(2>=r){var n=z.random({mu:0,sigma:1}),a=B.random({df:r});return n/Math.sqrt(a/r)}var o=void 0,i=void 0,u=void 0;do o=z.random({mu:0,sigma:1}),i=A.random({mu:1/(r/2-1)}),u=o*i/(r-2);while(0>1-u||Math.exp(-i-u)>1-u);return o/Math.sqrt((1-2/r)*(1-u))}},{key:"pdf",value:function(t,e){if("number"!=typeof t)throw TypeError("t must be a number.");var r=this.validate(e),n=r.df,o=a(n/2),i=a((n+1)/2);return Math.exp(i-o)/Math.sqrt(Math.PI*n)*Math.pow(1+t*t/n,-(n+1)/2)}},{key:"cdf",value:function(t,e){if("number"!=typeof t)throw TypeError("t must be a number.");var r=this.validate(e),n=r.df,a=void 0,o=void 0,i=void 0,u=void 0,s=void 0,l=void 0,f=void 0,v=void 0,h=void 0,c=void 0,d=1/Math.PI;if(i=n,a=t/Math.sqrt(i),o=i/(i+t*t),u=n-2,s=i%2,l=1,f=1,i=1,v=2+s,h=v,u>=2)for(c=v;u>=c;c+=2)f=f*o*(h-1)/h,l+=f,i=l,h+=2;return 1!=s?.5+.5*a*Math.sqrt(o)*l:(1==n&&(l=0),.5+(a*o*l+Math.atan(a))*d)}},{key:"mean",value:function(t){var e=this.validate(t),r=e.df;return 1>=r?NaN:0}},{key:"variance",value:function(t){var e=this.validate(t),r=e.df;return 1>r?NaN:2>=r?1/0:r/(r-2)}},{key:"stdDev",value:function(t){var e=this.validate(t),r=e.df;return 1>r?NaN:2>=r?1/0:Math.sqrt(r/(r-2))}},{key:"relStdDev",value:function(t){var e=this.validate(t);e.df;return NaN}},{key:"skewness",value:function(t){var e=this.validate(t),r=e.df;return r>3?0:NaN}},{key:"kurtosis",value:function(t){var e=this.validate(t),r=e.df;return 4>=r?NaN:3*(r-2)/(r-4)}}]),e}(x);F.covariates=1;var G=function(){function t(e){var r=this;if(g.classCallCheck(this,t),this.covariance=function(t){return r.constructor.covariance(r,t)},this.correlation=function(t){return r.constructor.correlation(r,t)},0==e.length)throw new Error("Sample of size 0 not allowed.");this.data=e,this.size=e.length,this.mean=s(e),this.std=this.constructor.stdDev(e),this.variance=this.constructor.variance(e),this.skewness=this.constructor.skewness(e),this.kurtosis=this.constructor.kurtosis(e),this.sqrdMeanDev=this.constructor.sqrdMeanDev(e),this.meanDev=this.constructor.meanDev(e),this.rootMeanSqrd=this.constructor.rootMeanSqrd(e),this.stdMeanDev=this.constructor.stdMeanDev(e),this.relStdDev=this.constructor.relativeStdDev(e),this.quartiles=this.constructor.quartiles(e)}return g.createClass(t,null,[{key:"variance",value:function(t){return p(t,2)/(t.length-1)}},{key:"sqrdMeanDev",value:function(t){return p(t,2)}},{key:"meanDev",value:function(t){return p(t,1,!0)/t.length}},{key:"stdDev",value:function(t){var e=this.variance(t);return isNaN(e)?0:Math.sqrt(e)}},{key:"rootMeanSqrd",value:function(t){return Math.sqrt(t.map(function(t){return t*t}).reduce(function(t,e){return t+e})/t.length)}},{key:"stdMeanDev",value:function(t){return this.stdDev(t)/Math.sqrt(t.length)}},{key:"relativeStdDev",value:function(t){return this.stdDev(t)/s(t)}},{key:"quartiles",value:function(t){return d(t,[.25,.5,.75])}},{key:"skewness",value:function(t){var e=this.stdDev(t);if(isNaN(e)||t.length<3)return NaN;var r=t.length,n=Math.pow(e,3),a=p(t,3);return r*a/((r-1)*(r-2)*n)}},{key:"kurtosis",value:function(t){var e=this.stdDev(t);if(isNaN(e)||t.length<3)return NaN;var r=(t.length,p(t,2)),n=p(t,4);return n/Math.pow(r,2)}},{key:"covariance",value:function(t,e){if(!t||!e||t.size<=1||t.size!==e.size)return NaN;var r=t.data.map(function(r,n){return(t.data[n]-t.mean)*(e.data[n]-e.mean)}).reduce(function(t,e){return t+e},0);return r/(t.size-1)}},{key:"correlation",value:function(t,e){if(!(t&&t.std&&e&&e.std))return NaN;var r=this.covariance(t,e);return r/t.std/e.std}}]),t}();t.choose=e,t.error=r,t.factorial=n,t.gamma=o,t.gammainc_lower=i,t.lngamma=a,t.median=h,t.mean=s,t.mode=l,t.percentile=c,t.quantile=d,t.range=m,t.select=f,t.std=b,t.stirling=k,t.sum=u,t.sumNthPowerDev=p,t.variance=y,t.zscore=M,t.Normal=z,t.Binomial=T,t.Bernoulli=_,t.StudentsT=F,t.Gamma=R,t.ChiSquared=B,t.Exponential=A,t.Cauchy=P,t.Sample=G,t.ttest=w});

lib/utils/mean.js

@@ -11,3 +11,3 @@ /* @flow */
 export default function mean(x: Array<number>): number {
-  return ( x.length == 0) ? NaN : sum(x) / x.length;
+  return ( x.length == 0) ? NaN : sum(x) / x.filter(d => !isNaN(d) ).length;
 };

lib/utils/sum.js

@@ -16,7 +16,9 @@ /* @flow */
   return x.reduce( (p,n) => {
-    let corrected = n - errorComp;
-    let next = p + corrected;
-    errorComp = next - p - corrected;
-    return next;
+    if (!isNaN((n))) {
+      let corrected = n - errorComp;
+      let next = p + corrected;
+      errorComp = next - p - corrected;
+      return next;
+    } else return p;
   }, 0);
 };

package.json

@@ -5,4 +5,8 @@ {
   "author": "Jack Shira <[e-mail]> (http://www.atg.io)",
-  "version": "0.2.1",
+  "version": "0.2.2",
   "license": "ISC",
+  "repository" : {
+    "type" : "git",
+    "url" : "https://github.com/atgJack/sampson.git"
+  },
   "engine": "node >= 5.8.0",
@@ -27,2 +31,3 @@ "main": "lib.js",
     "blue-tape": "^0.2.0",
+    "codecov": "^1.0.1",
     "esdoc": "^0.4.6",
@@ -29,0 +34,0 @@ "esdoc-es7-plugin": "0.0.3",

README.md

@@ -1,6 +0,3 @@
-# Sampson.js ```v0.2.0```
+# Sampson.js
 
-[![npm](https://img.shields.io/npm/v/sampson.svg?maxAge=2592000)](https://www.npmjs.com/package/sampson)
-[![npm](https://img.shields.io/npm/l/sampson.svg?maxAge=2592000)]()
-
 A Statistical Sampling and Distribution Library.
@@ -12,3 +9,3 @@ Named after the [largest horse ever](https://en.wikipedia.org/wiki/Sampson_(horse)),
 
-### Distributions
+#### Distributions
 
@@ -24,3 +21,3 @@ - Bernoulli
 
-### Statistics
+#### Statistics
 
@@ -30,3 +27,3 @@ - Sample
 
-### General Functions
+#### General Functions
 
@@ -53,3 +50,3 @@ - n Choose k
 
-#### Major references:
+### Major references:
 
@@ -56,0 +53,0 @@ - https://github.com/ampl/gsl

rollup.js

@@ -16,3 +16,3 @@ var rollup =  require('rollup');
     format: 'umd',
-    moduleName: 'probably',
+    moduleName: 'sampson',
     dest: 'dist/lib.js'
@@ -28,5 +28,5 @@ });
     format: 'umd',
-    moduleName: 'probably',
+    moduleName: 'sampson',
     dest: 'dist/lib.min.js'
   });
 }).catch( function(err) { console.log(err) });

test/utils/mean.test.js

@@ -24,2 +24,9 @@ import test from 'blue-tape';
   });
+
+  t.test('can handle NaNs in the mix', (t) => {
+    let answer = 3;
+    let data = [1, NaN, 2, 3, NaN, 4, 5];
+    t.equal( mean(data), answer );
+    t.end();
+  });
 });

test/utils/sum.test.js

@@ -34,2 +34,9 @@ import test from 'blue-tape';
   });
+
+  t.test('can handle NaNs in the mix', (t) => {
+    let answer = 15;
+    let data = [1, NaN, 2, 3, NaN, 4, 5];
+    t.equal( sum(data), answer );
+    t.end();
+  });
 });

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