derricw

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

jdelamater99

// ==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==

gcardone

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 };