logworthy

# -*- coding: utf-8 -*-

""" TODO: Update package docstring
"""

import logging
import argparse

def str2bool(val):
    """ string to boolean conversion for argparse

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Install-Module -Name PowerShellCookbook
$app = Get-InstalledSoftware | Where-Object { $_.Publisher -like '*Anaconda*' }
$app.UninstallString

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export TEXLIB=/usr/share/texlive/texmf-dist/
export packagename=tabu

wget http://mirrors.ctan.org/macros/latex/contrib/$packagename.zip
unzip $packagename.zip
cd $packagename
latex *.ins
sudo mkdir $TEXLIB/tex/latex/$packagename
sudo cp *.sty $TEXLIB/tex/latex/$packagename
cd ..

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# To get setup quickly just run the below line:
# (note that it changes with revisions to the file... will try to keep it up to date)
# source('https://gist.githubusercontent.com/logworthy/695f037e79ca4a2c49f2bdbe3502a0c5/raw/459be6d79c7e2762cae9b5c981a18dfde24da4ba/RSetup.R')

# set up R with desired pacakges and load them by default

# install packages 
packages_required <- c(
  'data.table',
  'RODBC',

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/*****
EXAMPLE OF A LINEAR PROGRAMMING PROBLEM
*****/

/* classes of things */
set CATEGORIES;

/* function discretised over these points */
set POINTS;

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# Simulation of how simple logistic regression can fail to model
# binomial response when the underlying function is more complicated
install.packages(c('data.table', 'plyr', 'ggplot2', 'drc'))
library(data.table)
library(plyr)
library(ggplot2)
library(drc)

# Generalised logistic function
logistic_function <- function(x) {

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df <- read.csv("stations.csv", nrows=1000000, colClasses=c("integer","NULL","POSIXct", "NULL","NULL","NULL","NULL","integer","NULL","NULL","NULL","NULL","integer","NULL","NULL","NULL"))

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create table parking_events (
id integer,
areaname text,
streetname text,
betweenstreet1 text,
betweenstreet2 text,
sideofstreet text,
streetmarker text,
arrivaltime timestamp,