Alan Mar devwolf75

Kernel density estimation is a method of estimating the probability distribution of a random variable based on a random sample. In contrast to a histogram, kernel density estimation produces a smooth estimate. The smoothness can be tuned via the kernel’s bandwidth parameter. With the correct choice of bandwidth, important features of the distribution can be seen, while an incorrect choice results in undersmoothing or oversmoothing and obscured features.

This example shows a histogram and a kernel density estimation for times between eruptions of Old Faithful Geyser in Yellowstone National Park, taken from R’s faithful dataset. The data follow a bimodal distribution; short eruptions are followed by a wait time averaging about 55 minutes, and long eruptions by a wa

	var app = angular.module('admin', ['ng-admin']),
	hook = new Hook.Client({...});

	var headerNav, pageWrapper, restangular;

	if (hook.auth.currentUser && hook.auth.currentUser.role != 'admin') {
	hook.auth.logout();
	}

	function hideMenu() {

	# The MIT License (MIT)
	# Copyright (c) 2016 Vladimir Ignatev
	#
	# Permission is hereby granted, free of charge, to any person obtaining
	# a copy of this software and associated documentation files (the "Software"),
	# to deal in the Software without restriction, including without limitation
	# the rights to use, copy, modify, merge, publish, distribute, sublicense,
	# and/or sell copies of the Software, and to permit persons to whom the Software
	# is furnished to do so, subject to the following conditions:
	#

	using System;

	namespace FortyOneShades
	{
	class Program
	{
	static int[] values = new int[]{
	0x276AD9,
	0x3E6FD9,
	0x3A6FDE,

	#!/bin/bash
	# node-reinstall
	# credit: http://stackoverflow.com/a/11178106/2083544

	## program version
	VERSION="0.0.13"

	## path prefix
	PREFIX="${PREFIX:-/usr/local}"

	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	body {
	font-family: sans-serif;
	color: #000;
	text-rendering: optimizeLegibility;
	}

	// colores usados por Google en sus graficos, trends, etc.
	//
	function colores_google(n) {
	var colores_g = ["#3366cc", "#dc3912", "#ff9900", "#109618", "#990099", "#0099c6", "#dd4477", "#66aa00", "#b82e2e", "#316395", "#994499", "#22aa99", "#aaaa11", "#6633cc", "#e67300", "#8b0707", "#651067", "#329262", "#5574a6", "#3b3eac"];
	return colores_g[n % colores_g.length];
	}
	//
	//

	var c10 = d3.scale.category10();

	git branch -m old_branch new_branch # Rename branch locally
	git push origin :old_branch # Delete the old branch
	git push --set-upstream origin new_branch # Push the new branch, set local branch to track the new remote