jasdumas

Things I want to learn

⌚ Time Series Analysis:

Purpose: Time series analysis is a frequent method used to understand the effect of a parameter over time and I'm curious to learn about how those models are built in R and the theory beneath them.

1. Using R for Time Series Analysis
2. CRAN Task View: Time Series Analysis
3. google/CausalImpact Package
4. Introduction to Statistical Analysis of Time Series

akshaynagpal

package src.LinkedList;

public class LinkedList {
	public Node head;
	public int listCount;

	public LinkedList(){
		head = new Node(0);
		listCount = 0;
	}

wch

library(shiny)

# Example usage:
# lmGadget(mtcars, "wt", "mpg")
#
# Returns a list with two items:
#   $data: Data with excluded rows removed.
#   $model: lm (model) object.
lmGadget <- function(data, xvar, yvar) {
  library(miniUI)

dill

## This is a very silly script to get JSON data for an R twitter bot that produces
## tweets of the form "verb that noun" using verbs from package:base and nouns from
## built in R data.
##
## It uses @v21's http://cheapbotsdonequick.com/
##
## David L. Miller 2015 MIT license
## update from Nick Golding 2018

cat("{\n")

kidpixo

Warning This is SEVERELY outdated, the current jupyter version is > 6.X, please refer to your current jupyter notebook installation!

Disclaimer : I just copied those shortcuts from Jupyter Menú > Help > Keyboard Shortcuts, I didn't wrote them myself.

Check your current shortcuts in your Help, shortcuts coule have been modified by extensions or your past self.

Toc

Keyboard shortcuts

yihui

Moved to https://github.com/yihui/shiny-apps/tree/master/voice

saurfang

library(htmltools)

addUIDep <- function(x) {
  jqueryUIDep <- htmlDependency("jqueryui", "1.10.4", c(href="shared/jqueryui/1.10.4"),
                                script = "jquery-ui.min.js",
                                stylesheet = "jquery-ui.min.css")
  
  attachDependencies(x, c(htmlDependencies(x), list(jqueryUIDep)))
}

andrewmusselman

Job title – Data Scientist

Basic Qualifications

1. Bachelor’s Degree in Mathematics, Technical Science, Computer Science (or equivalent) or Engineering
2. Minimum 1 year programming experience in at least one item from each:

• R, SAS,Mathematica, MATLAB, Sagemath
• Python, Ruby, Perl, Java, Scala
• Linux
• Bash scripting including sed, awk, cut, uniq, sort, tr

jasdumas

10 < 3 ;
var red = [0, 100, 63];
var orange = [40, 100, 60];
var green = [75, 100, 40];
var blue = [196, 77, 55];
var purple = [280, 50, 60];

var myName = "Jasmine";
var letterColors = [red, orange, green, blue, purple]
if (10 < 3) {

jasdumas

var userChoice = prompt("Do you choose rock, paper or scissors?");
var computerChoice = Math.random();
if (computerChoice < 0.34) {
	computerChoice = "rock";
} else if(computerChoice <= 0.67) {
	computerChoice = "paper";
} else {
	computerChoice = "scissors";
} console.log("Computer: " + computerChoice);
var compare = function(choice1, choice2) {