DeoluA

## numberSort.js
'use strict';
/**
	* @param raw_numbers: an array of integer values. Can either be positive or negative
	* @return: sorted array, from negative to positive
*/
const sortArrayOfIntegers = (raw_numbers) => {
	let positives = {}, negatives = {};
    for(let m = 0; m < raw_numbers.length; m++) {
    	if(raw_numbers[m] >= 0) {
    		// has it occured before?

## beforeUploadFunc.js
// plugged in this answer from S.O. - https://stackoverflow.com/a/8904008/5172977

// import { Upload } from 'antd';

// function returns a promise
beforeUpload = (file) => {
  return new Promise((resolve, reject) => {
    // check the file type - you can specify the types you'd like here:
    const isImg = file.type === 'image/jpeg' || file.type === 'image/jpg' || file.type === 'image/png' || file.type === 'image/gif';
    if (!isImg) {

## rand_hex_col_gen.js
var rand_hex_col_gen = function(){

  // do the numbers first
  var options = [];
  for(var i=0; i<10; i++){
    options.push(i.toString());
  };

  // add letters
  options = [].concat.apply(options, ["a", "b", "c", "d", "e", "f"]);

## normal_cdf.js
// https://interactive.deolua.com/normal-dist

/*
*@param number 			x             - the value for which the cumulative probability value is desired
*@param number 			mean_val      - the value of the mean of the distribution
*@param number 			sd_val_sqrd   - the value of the SQUARE of the standard deviation of the distribution
*/

var normal_cdf = function(x, mean_val, sd_val_sqrd){
  var err_input = (x - mean_val)/(Math.sqrt(2 * sd_val_sqrd));

## normal_pdf.js
// https://interactive.deolua.com/normal-dist

/*
*@param number 			x             - the value for which the probability value is desired
*@param number 			mean_val      - the value of the mean of the distribution
*@param number 			sd_val_sqrd   - the value of the SQUARE of the standard deviation of the distribution
*/

var pdf_formula = function(x, mean_val, sd_val_sqrd){
  var numer = (x - mean_val)**2;

## softmax.R
## from http://tr.im/hH5A
logsumexp <- function (x) {
  y = max(x)
  y + log(sum(exp(x - y)))
}

softmax <- function (x) {
  exp(x - logsumexp(x))
}

## wordFreqWithLodash.html
<!DOCTYPE html>
	<head>
		<script type="text/javascript" src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.4/lodash.min.js'></script>
		<script type="text/javascript" src='https://cdnjs.cloudflare.com/ajax/libs/angular.js/1.6.1/angular.min.js'></script>
		<script type="text/javascript" src='wordFreq.js'></script>
	</head>

	<body ng-app='wordFreqApp'>
		<div ng-controller='wordFreqCtrl'>
			<h2>Input something below</h2>

## common-sci-symbols.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                DeoluA
                / common-sci-symbols.md
            
            
              Created
              December 10, 2015 08:31
                — forked from benmarwick/common-sci-symbols.md
            
              
                Commonly used scientific symbols in pandoc markdown
              
          
    Commonly used scientific symbols in pandoc markdown

encoding is UTF-8, needs pdflatex
per mille sign

plain text: ‰ (doesn't render properly in PDF)
HTML: &permil;  (renders properly in PDF)
LaTeX: $\text{\textperthousand}$ (renders properly in PDF)

delta sign

  
## server.R
library(shiny)
library(datasets)
Logged = FALSE;
PASSWORD <- data.frame(Brukernavn = "withr", Passord = "25d55ad283aa400af464c76d713c07ad")
# Define server logic required to summarize and view the selected dataset
shinyServer(function(input, output) {
  source("www/Login.R",  local = TRUE)

  observe({
    if (USER$Logged == TRUE) {
	'use strict';
	/**
	* @param raw_numbers: an array of integer values. Can either be positive or negative
	* @return: sorted array, from negative to positive
	*/
	const sortArrayOfIntegers = (raw_numbers) => {
	let positives = {}, negatives = {};
	for(let m = 0; m < raw_numbers.length; m++) {
	if(raw_numbers[m] >= 0) {
	// has it occured before?
	// plugged in this answer from S.O. - https://stackoverflow.com/a/8904008/5172977

	// import { Upload } from 'antd';

	// function returns a promise
	beforeUpload = (file) => {
	return new Promise((resolve, reject) => {
	// check the file type - you can specify the types you'd like here:
	const isImg = file.type === 'image/jpeg' \|\| file.type === 'image/jpg' \|\| file.type === 'image/png' \|\| file.type === 'image/gif';
	if (!isImg) {
	var rand_hex_col_gen = function(){

	// do the numbers first
	var options = [];
	for(var i=0; i<10; i++){
	options.push(i.toString());
	};

	// add letters
	options = [].concat.apply(options, ["a", "b", "c", "d", "e", "f"]);
	// https://interactive.deolua.com/normal-dist

	/*
	*@param number x - the value for which the cumulative probability value is desired
	*@param number mean_val - the value of the mean of the distribution
	*@param number sd_val_sqrd - the value of the SQUARE of the standard deviation of the distribution
	*/

	var normal_cdf = function(x, mean_val, sd_val_sqrd){
	var err_input = (x - mean_val)/(Math.sqrt(2 * sd_val_sqrd));
	## from http://tr.im/hH5A
	logsumexp <- function (x) {
	y = max(x)
	y + log(sum(exp(x - y)))
	}

	softmax <- function (x) {
	exp(x - logsumexp(x))
	}
	<!DOCTYPE html>
	<head>
	<script type="text/javascript" src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.4/lodash.min.js'></script>
	<script type="text/javascript" src='https://cdnjs.cloudflare.com/ajax/libs/angular.js/1.6.1/angular.min.js'></script>
	<script type="text/javascript" src='wordFreq.js'></script>
	</head>

	<body ng-app='wordFreqApp'>
	<div ng-controller='wordFreqCtrl'>
	<h2>Input something below</h2>
	library(shiny)
	library(datasets)
	Logged = FALSE;
	PASSWORD <- data.frame(Brukernavn = "withr", Passord = "25d55ad283aa400af464c76d713c07ad")
	# Define server logic required to summarize and view the selected dataset
	shinyServer(function(input, output) {
	source("www/Login.R", local = TRUE)

	observe({
	if (USER$Logged == TRUE) {