ledell

# Example of monotonic constraints in H2O AutoML (using h2o v3.30.0.1)
# monotone constraints: http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/monotone_constraints.html
# H2O AutoML: http://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html

library(h2o)
h2o.init()

# Import the prostate dataset
file <- "http://s3.amazonaws.com/h2o-public-test-data/smalldata/prostate/prostate.csv.zip"
prostate <- h2o.importFile(file)

dweldon

#!/usr/bin/env bash

# https://docs.docker.com/install/linux/docker-ce/ubuntu/
sudo apt-get install apt-transport-https ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu xenial stable"
sudo apt-get update
sudo apt-get install docker-ce

# https://docs.docker.com/compose/install/

ledell

# Set API Key
Sys.setenv(SIGOPT_API_TOKEN="HERE")

# Start a local H2O cluster for training models
library(h2o)
h2o.init(nthreads = -1)

# Load a dataset
data(iris)
y <- "Species"

kevindavenport

wch

timelyportfolio

Introduction

This d3.js parallel coordinates plot is another experiment in how we might use interactive plots in Javascript to represent a partykit / rpart object from R. The example builds on this d3.js collapsible tree plot. Eventually, it would be nice to combine the tree and parallel coordinates into a layout with synced interactivity.

---

### Almost No [`rCharts`](http://rcharts.io) Also, this is fairly different from most of my interactive plots from R in that it almost completely avoids [`rCharts`](http://rcharts.io) (almost because I did use its `publish` to make this gist). I chose to exclude `rCharts` for two reasons:

1. demo how we can use htmltools to build html/js in R
2. help users understand some of the things rCharts does f

trestletech

.Rproj.user
.Rhistory
.RData

ramnathv

example.md: example.Rmd
	./knit

example.ipynb: example.md
	notedown example.md | sed 's/%%r/%%R/' > example.ipynb

withr

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) {

dsparks

doInstall <- TRUE  # Change to FALSE if you don't want packages installed.
toInstall <- c("jpeg", "reshape2", "ggplot2")
if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

# Image URL:
allImageURLs <- c("http://media.charlesleifer.com/blog/photos/thumbnails/akira_940x700.jpg",
                  "http://upload.wikimedia.org/wikipedia/commons/thumb/e/ec/Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg/402px-Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg",
                  "http://upload.wikimedia.org/wikipedia/commons/thumb/e/e9/Official_portrait_of_Barack_Obama.jpg/441px-Official_portrait_of_Barack_Obama.jpg",
                  "http://cache.boston.com/universal/site_graphics/blogs/bigpicture/obama_11_05/obama22_16604051.jpg",