alexstorer

<script type="text/javascript">

shuffle = function(o){ //v1.0
for(var j, x, i = o.length; i; j = parseInt(Math.random() * i), x = o[--i], o[i] = o[j], o[j] = x);
return o;
};
  
document.onkeyup = KeyCheck;

var input    = new Array();

alexstorer

fname <- 'a1.txt'
ds <- read.csv(fname,col.names = c('Date','Time','File','TimeElapsed','SongTime'),header=FALSE,stringsAsFactors=FALSE)
ds$Date <- as.Date(ds$Date)
ds$Name <- fname

timelist <- strsplit(ds$Time,split=':')

for (i in 1:length(timelist)) {
  hr <- timelist[[i]][[1]]
  mn <- timelist[[i]][[2]]

alexstorer

import twitter
import json
import pickle
import time
import random
import sys
import csv
import twitter__login

# log in, and collect statuses containing a keyword

alexstorer

# This is an exploration of topic modeling

# First, let's load up this pile of things.

Sys.setenv(NOAWT=TRUE) 

# This is a workaround for Macs

library(tm) 
library(Snowball) 

alexstorer

# Run the topics script first to load everything up.

npi[npidtm$fd>0,c('NPI_Description','aotitle',"plocstatename","ploccityname")]

outp <- textvec[grep('FD',textvec)]
grep('FIRE',outp)
outp[grep('FIRE',outp,invert=TRUE)]

npidtm$labelhospital <- 0 
hospinds <- grep("HOSPITAL",textvec)

alexstorer

time  seconds
1365781233.31362	0.815643072128296
1365781253.95795	0.829960107803345
1365781332.08635	0.819650888442993
1365781371.6965 0.817964792251587
1365781407.32883	1.21638607978821

alexstorer

Introduction to R
========================================================

This file is online!


http://rpubs.com/alexplanation/dst4l


https://gist.github.com/alexstorer/5460479

alexstorer

def handler(signum, frame):
    raise Exception('Last Resort!')

signal.signal(signal.SIGALRM, handler)

def tryOpenParse(thisurl):
    global parser
    #print "trying to parse " + thisurl
    print "trying to parse..."
    loaded = False

alexstorer

VARSTOCASES
/MAKE stimulus1 from Task_1#1_stimulus Task_1#2_stimulus Task_1#3_stimulus Task_1#4_stimulus Task_1#5_stimulus Task_1#6_stimulus Task_1#7_stimulus Task_1#8_stimulus Task_1#9_stimulus Task_1#10_stimulus Task_1#11_stimulus Task_1#12_stimulus Task_1#13_stimulus Task_1#14_stimulus Task_1#15_stimulus Task_1#16_stimulus Task_1#17_stimulus Task_1#18_stimulus Task_1#19_stimulus Task_1#20_stimulus
/MAKE latency1 from Task_1#1_latency Task_1#2_latency Task_1#3_latency Task_1#4_latency Task_1#5_latency Task_1#6_latency Task_1#7_latency Task_1#8_latency Task_1#9_latency Task_1#10_latency Task_1#11_latency Task_1#12_latency Task_1#13_latency Task_1#14_latency Task_1#15_latency Task_1#16_latency Task_1#17_latency Task_1#18_latency Task_1#19_latency Task_1#20_latency
/MAKE CORRECT_latency1 from Task_1#1_CORRECT_latency Task_1#2_CORRECT_latency Task_1#3_CORRECT_latency Task_1#4_CORRECT_latency Task_1#5_CORRECT_latency Task_1#6_CORRECT_latency Task_1#7_CORRECT_latency Task_1#8_CORRECT_latency Task_1#9_CORRECT_late

alexstorer

#!/usr/env python

from subprocess import call
import datetime
import os

import xlrd
import csv

def csv_from_excel():