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import numpy as np | |
def bin_ndarray(ndarray, new_shape, operation='sum'): | |
""" | |
Bins an ndarray in all axes based on the target shape, by summing or | |
averaging. | |
Number of output dimensions must match number of input dimensions. | |
Example |
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// ==UserScript== | |
// @name AmazonSmile Redirect | |
// @namespace http://jdel.us | |
// @description Redirect Amazon to AmazonSmile | |
// @include http://*.amazon.*/* | |
// @include https://*.amazon.*/* | |
// @version 0.6 | |
// @grant none | |
// @run-at document-start | |
// ==/UserScript== |
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import org.apache.commons.math3.distribution.TDistribution; | |
import org.apache.commons.math3.exception.MathIllegalArgumentException; | |
import org.apache.commons.math3.stat.descriptive.SummaryStatistics; | |
public class ConfidenceIntervalApp { | |
public static void main(String args[]) { | |
// data we want to evaluate: average height of 30 one year old male and female toddlers | |
// interestingly, at this age height is not bimodal yet | |
double data[] = new double[] { 63.5, 81.3, 88.9, 63.5, 76.2, 67.3, 66.0, 64.8, 74.9, 81.3, 76.2, 72.4, 76.2, 81.3, 71.1, 80.0, 73.7, 74.9, 76.2, 86.4, 73.7, 81.3, 68.6, 71.1, 83.8, 71.1, 68.6, 81.3, 73.7, 74.9 }; |