Greg Werbin gwerbin

## demo.R
require(spls)
require(MASS)
data(prostate)
pca <- prcomp(prostate$x)
plot(pca$x,main="Principal components mapping of Prostate data",xlab="Dim 1",ylab="dim 2")
plot(pca$x,main="Principal components mapping of Prostate data",xlab="Dim 1",ylab="dim 2",pch=prostate$y+1)
sam <- sammon(dist(prostate$x))
plot(sam$points,main="Sammon mapping of Prostate data",xlab="Dim 1",ylab="Dim 2",pch=prostate$y+1)

## stan outline.sublime-snippet
<!-- save to <Sublime Text path>/Packages/User/Snippets or anywhere in <Sublime Text path>/Packages/ -->
<!-- with Sublime Text 3 on OSX Mavericks, <Sublime Text path> would be "~/Library/Application Support/Sublime Text 3" -->
<snippet>
  <content><![CDATA[
functions{


}

## HTML - all files same name.sublime-build
{
	"cmd": ["ls -l *.html"],
	"shell": true,
	"working_dir": "${project_path:${folder}}",

	"selector": ["source.html", "source.javascript", "source.css"],

	"osx": {
		"cmd": ["open ${file_base_name}.html"],
		"shell": true

## housing.sh
#!/usr/env bash

## Process the "Housing" data set from the UCI Machine Learning Data Repository

## download the "housing" dataset; this will also tell you how big it is
curl https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data -O

## check if it has carriage returns in line endings
if [[ -z $(egrep -l $'\r$' < housing.data) ]]; then echo 'no CR line endings'
else echo 'has CR line endings'

## index.html
<!DOCTYPE html>
<html>
  <head>
    <title>D3 - Line Chart - continuous function</title>
    <!-- script type="text/javascript" src="https://raw.github.com/jquery/sizzle/master/sizzle.js"></script -->
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.min.js"></script>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.time.min.js"></script>
    <style type="text/css">

body {

## osx-for-hackers.sh
# OSX for Hackers (Mavericks/Yosemite)
#
# Source: https://gist.github.com/brandonb927/3195465

#!/bin/sh

# Some things taken from here
# https://github.com/mathiasbynens/dotfiles/blob/master/.osx

# Ask for the administrator password upfront

## osx-for-hackers.sh
#!/bin/sh

# Alot of these configs have been taken from the various places
# on the web, most from here
# https://github.com/mathiasbynens/dotfiles/blob/master/.osx

# Set the colours you can use
black='\033[0;30m'
white='\033[0;37m'
red='\033[0;31m'

## Open in iTerm.scpt
on run {input, parameters}

	tell application "Finder"
		set currentSelection to selection
		set currentFolder to target of front Finder window as text
	end tell

	tell application "iTerm" -- this should work if you replace "iTerm" with "Terminal" (untested)
		if currentSelection = {} then
			set thePath to POSIX path of currentFolder

## pandas-sklearn-workflow.py
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.datasets import load_iris
from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier
from sklearn.pipeline import Pipeline

seed = 43770
rng = np.random.RandomState(seed)

## uninstall-ghostscript.sh
#!/usr/bin/env bash

# Copyright (c) 2015, 2020, and 2021 by Greg Werbin.
#
# Permission to use, copy, modify, and/or distribute this software for any purpose with
# or without fee is hereby granted, provided that the above copyright notice and this
# permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED “AS IS” AND ISC DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS
# SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT
	require(spls)
	require(MASS)
	data(prostate)
	pca <- prcomp(prostate$x)
	plot(pca$x,main="Principal components mapping of Prostate data",xlab="Dim 1",ylab="dim 2")
	plot(pca$x,main="Principal components mapping of Prostate data",xlab="Dim 1",ylab="dim 2",pch=prostate$y+1)
	sam <- sammon(dist(prostate$x))
	plot(sam$points,main="Sammon mapping of Prostate data",xlab="Dim 1",ylab="Dim 2",pch=prostate$y+1)
	<!-- save to <Sublime Text path>/Packages/User/Snippets or anywhere in <Sublime Text path>/Packages/ -->
	<!-- with Sublime Text 3 on OSX Mavericks, <Sublime Text path> would be "~/Library/Application Support/Sublime Text 3" -->
	<snippet>
	<content><![CDATA[
	functions{



	}
	{
	"cmd": ["ls -l *.html"],
	"shell": true,
	"working_dir": "${project_path:${folder}}",

	"selector": ["source.html", "source.javascript", "source.css"],

	"osx": {
	"cmd": ["open ${file_base_name}.html"],
	"shell": true
	#!/usr/env bash

	## Process the "Housing" data set from the UCI Machine Learning Data Repository

	## download the "housing" dataset; this will also tell you how big it is
	curl https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data -O

	## check if it has carriage returns in line endings
	if [[ -z $(egrep -l $'\r$' < housing.data) ]]; then echo 'no CR line endings'
	else echo 'has CR line endings'
	<!DOCTYPE html>
	<html>
	<head>
	<title>D3 - Line Chart - continuous function</title>
	<!-- script type="text/javascript" src="https://raw.github.com/jquery/sizzle/master/sizzle.js"></script -->
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.min.js"></script>
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.time.min.js"></script>
	<style type="text/css">

	body {
	# OSX for Hackers (Mavericks/Yosemite)
	#
	# Source: https://gist.github.com/brandonb927/3195465

	#!/bin/sh

	# Some things taken from here
	# https://github.com/mathiasbynens/dotfiles/blob/master/.osx

	# Ask for the administrator password upfront
	#!/bin/sh

	# Alot of these configs have been taken from the various places
	# on the web, most from here
	# https://github.com/mathiasbynens/dotfiles/blob/master/.osx

	# Set the colours you can use
	black='\033[0;30m'
	white='\033[0;37m'
	red='\033[0;31m'
	on run {input, parameters}

	tell application "Finder"
	set currentSelection to selection
	set currentFolder to target of front Finder window as text
	end tell

	tell application "iTerm" -- this should work if you replace "iTerm" with "Terminal" (untested)
	if currentSelection = {} then
	set thePath to POSIX path of currentFolder
	import numpy as np
	import pandas as pd
	from sklearn.base import BaseEstimator, TransformerMixin
	from sklearn.datasets import load_iris
	from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier
	from sklearn.pipeline import Pipeline

	seed = 43770
	rng = np.random.RandomState(seed)
	#!/usr/bin/env bash

	# Copyright (c) 2015, 2020, and 2021 by Greg Werbin.
	#
	# Permission to use, copy, modify, and/or distribute this software for any purpose with
	# or without fee is hereby granted, provided that the above copyright notice and this
	# permission notice appear in all copies.
	#
	# THE SOFTWARE IS PROVIDED “AS IS” AND ISC DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS
	# SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT