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#Load libraries | |
library(rjson) | |
library(stringr) | |
dfToJSON<-function(df, mode='vector'){ | |
colToList<-function(x, y){ | |
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''' | |
Created on Feb 6, 2014 | |
@author: sraper | |
''' | |
import itertools, urllib, urllib2, time, re, random | |
from bs4 import BeautifulSoup | |
def catchURL(queryURL): # Nicked this from someone. Afraid I can't remember who. Sorry |
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import os | |
dir = 'put your director in here' | |
for filename in os.listdir(dir): | |
with open(dir+filename, 'r') as fin: | |
data = fin.read().splitlines(True) | |
with open(dir+filename, 'w') as fout: | |
fout.writelines(data[1:]) |
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drop table if exists recommender_set_num; --In case you need to rerun the script | |
drop table if exists person_ids_full_names; | |
drop table if exists recom_names; | |
-- Set up a table to load the recommendations data into | |
create external table if not exists recommender_set_num | |
( | |
userID bigint, | |
itemID bigint | |
) row format delimited fields terminated by ',' |
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x<-seq(1,10, by=0.1) | |
y<-sin(x/4)+rnorm(91, 0,0.05) #Sin fucntion plus noise | |
plot(x,y) | |
#Knots at 2, 4 and 6 | |
x2<-x^2 | |
x3<-x^3 | |
k1<-(x>2)*(x-2)^3 | |
k2<-(x>4)*(x-4)^3 |
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import os, csv | |
progDir = '/pathToFolderContainingCSVs/' | |
for filename in os.listdir(progDir): | |
if filename != '.DS_Store': | |
with open(progDir+filename, 'rb') as csvfile: | |
progReader = csv.reader(csvfile, delimiter=',', quotechar='"') |
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#Sequence for adding new data | |
s<-seq(20,50, by=5) | |
#Set up object for recording clusters | |
clus.change<-NULL | |
#Cycle through the clustering solutions | |
for (i in s){ | |
hc <- hclust(dist(USArrests[1:i,]), "ave") |
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#Run hclust | |
hc <- hclust(dist(USArrests[1:40,]), "ave") | |
#Function for extracting nodes and links | |
extractGraph<-function(hc){ | |
n<-length(hc$order) | |
m<-hc$merge | |
links<-data.frame(source=as.numeric(), target=as.numeric(), value=as.numeric()) |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<title>Tangle: a JavaScript library for reactive documents</title> | |
<link rel="stylesheet" href="http://worrydream.com/Tangle/TangleKit/TangleKit.css" type="text/css"> | |
<script type="text/javascript" src="http://worrydream.com/Tangle/TangleKit/mootools.js"></script> | |
<script type="text/javascript" src="http://worrydream.com/Tangle/TangleKit/sprintf.js"></script> | |
<script type="text/javascript" src="http://worrydream.com/Tangle/TangleKit/BVTouchable.js"></script> |
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#Check the relationship between correlation and mutual information for binary vars | |
store<-NULL | |
for (i in 1:1000){ | |
prob.1<-runif(1) | |
prob.2<-runif(1) | |
x<-rbinom(10000, 1, prob.1) | |
y<-rbinom(10000, 1, prob.2) | |
c<-cor(x,y) | |
m<-mi.empirical(table(x,y)) | |
store<-rbind(store, data.frame(c=c, m=m)) |
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