Himanshu Misra hmisra

## RecursiveBayesianFilter
library(ggplot2)
library(mvtnorm)


plot(seq(1, 6, 0.01), dnorm(seq(1,6,0.01), 3.5,0.5), xlab = "A", ylab="P(A)", main="Prior Distribution", type="l")
mean=c(4,4)
sigma=matrix(c(1,0,0,1), nrow = 2, ncol = 2)
dist<-matrix(rep(1, 36), nrow = 6, ncol = 6)
for(j in c(1:6))
{

## dynamicBarCharts.html
<html>
    <head>
        <title>Demo for Dynamic Bar Charts
        </title>
        <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js" charset="utf-8"></script>
        <script>
            function loadChart()
            {
                var profit=[40,50,50,45,30,35,50,60,55,30,40,50];
                var h=100;
	library(ggplot2)
	library(mvtnorm)


	plot(seq(1, 6, 0.01), dnorm(seq(1,6,0.01), 3.5,0.5), xlab = "A", ylab="P(A)", main="Prior Distribution", type="l")
	mean=c(4,4)
	sigma=matrix(c(1,0,0,1), nrow = 2, ncol = 2)
	dist<-matrix(rep(1, 36), nrow = 6, ncol = 6)
	for(j in c(1:6))
	{
	<html>
	<head>
	<title>Demo for Dynamic Bar Charts
	</title>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js" charset="utf-8"></script>
	<script>
	function loadChart()
	{
	var profit=[40,50,50,45,30,35,50,60,55,30,40,50];
	var h=100;