Dulani

{
  "intents": [
    {
      "intent": "GetNewFactIntent"
    },
    {
      "intent": "AMAZON.HelpIntent"
    },
    {
      "intent": "AMAZON.StopIntent"

Dulani

#Testing a three way IPF with combined and individual marginals.

library(mipfp)
library(dplyr)

pers <- data_frame(
  gender = sample(c("m","f"),25,replace = T),
  age = rep(1:5,5),
  fpl = rep((5:1)/0.5,5),
  w = rep(1,25)

Dulani

library(curl)
library(XML)

listFiles <- function(username, password, relPath = "/", dav = "https://dav.box.com/dav") {
  uri <- URLencode(paste(dav, relPath, sep=""))

  # fetch directory listing via curl and parse XML response
  h <- new_handle()
  handle_setopt(h, customrequest = "PROPFIND")
  handle_setopt(h, username = username)

Dulani

Examine sensitivities

• List devices and find the trackpad's ID: xinput list
• Monitor the input: xinput --test [id #]

Use Synclient to adjust things (what worked for me)

• List the properties. synclient

Dulani

Installing R Studio Server on an Amazon Linux (Redhat) AMI

• Drawn mostly from: http://www.rstudio.com/products/rstudio/download-server/

• ssh into the instance.

• Install any outstanding updates
  sudo yum update

• Install R:
  sudo yum install R

Dulani

#An Excel style "fill down" for Data Table. (.SD is the Subset of Data for each 'by' group)
dataTable[,setId:=.SD[1,setId],by=setNum] #TAG:USEFUL (Excel style fill down)

Dulani

# Geocoding in R using Google's API
require(RCurl)
require(XML)
require(data.table)
require(dplyr)

ridbLocs <- data.table(read.delim(file = "Data/ridbLocations.tsv"))
setnames(ridbLocs,c("original","locationType","simplified1","gCode","simplified","lat","lon"))

#' Model formula from my Google Sheet:

Dulani

# A quick way to pull a lat/lon table off Wikipedia for "all" US Army bases.  
# SPARQL: on http://dbpedia.org/sparql
PREFIX owl: <http://www.w3.org/2002/07/owl#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX foaf: <http://xmlns.com/foaf/0.1/>
PREFIX dc: <http://purl.org/dc/elements/1.1/>
PREFIX : <http://dbpedia.org/resource/>
PREFIX dbpedia2: <http://dbpedia.org/property/>

Dulani

/**
 * Retrieves all the rows in the active spreadsheet that contain data and logs the
 * values for each row.
 * For more information on using the Spreadsheet API, see
 * https://developers.google.com/apps-script/service_spreadsheet
 */
function readRows() {
  var sheet = SpreadsheetApp.getActiveSheet();
  var rows = sheet.getDataRange();
  var numRows = rows.getNumRows();

Dulani

require(dplyr)
require(parallel)
require(foreach)
require(doParallel)

cpuCount <- detectCores() #From the parallel package
registerDoParallel(cores=cpuCount-1) #Don't take all cores.

dplyr({put dplyr data arguments here},.parallel=T) #Run dplyr in parallel.