Tafkas

#read data
tw <- read.csv(file="TrendWeightData.csv",header=T)
summary(tw)

#remove interpolated values
tw <- tw[tw$WeightIsInterpolated == "False",]

#convert strings to date and extract year
tw$Date <- as.POSIXlt(as.character(tw$Date), format="%Y-%m-%d")
tw$Year <- tw$Date$year + 1900

Tafkas

#!/usr/local/bin/python
# encoding: utf-8
import random
import time
import matplotlib.pyplot as plt
import numpy as np

#simulates the martingale roulette system
def simulation():
    

Tafkas

data <- read.csv(file = "2008TenMiler.csv", header = TRUE, sep=",")
summary(data)
data <- na.omit(data)

#convert time to minutes
data$Nettime <- as.character(data$Nettime)
data$Nettime <- sapply(strsplit(data$Nettime, ":"),
    function(x) {
        x <- as.numeric(x)
        x[1]*60 + x[2] + x[3]/60

Tafkas

sleep <- read.csv(file="sleepdata.csv", header=T, sep=";")

#split end time
sleep$End <- as.character(sleep$End)

#get the date
sleep$Date <- sapply(strsplit(sleep$End, " "),"[[",1)
sleep$Date <- strptime(sleep$Date, format="%Y-%m-%d")

#fix sleep quality

Tafkas

/* FitbitDownload.gs
This script will access your Fitbit data via the Fitbit API and insert it into a Google spreadsheet.
The first row of the spreadsheet will be a header row containing data element names. Subsequent rows will contain data, one day per row.
Note that Fitbit uses metric units (weight, distance) so you may wish to convert them.

Original script by loghound@gmail.com
Original instructional video by Ernesto Ramirez at http://vimeo.com/26338767
Modifications by Mark Leavitt (PDX Quantified Self organizer) www.markleavitt.com
Further Modifications by Christian Stade-Schuldt blog.tafkas.net
Here's to your (quantified) health!

Tafkas

decodeLine <- function(encoded){
  require(bitops)
 
  vlen <- nchar(encoded)
  vindex <- 0
  varray <- NULL
  vlat <- 0
  vlng <- 0
 
  while(vindex < vlen){

Tafkas

# sun_flight_map.R
#
# Plot sun elevations along a flight path. 
#
# Airport information can be sourced from http://openflights.org/data.html.
# Note that the time zone offsets provided in their airports.dat never count
# daylight savings time.
#
# This code is for fun only, so it comes with no guarantee of accuracy and
# is not to be used for any serious purpose including making any decisions 

Tafkas

import sqlite3
import json
import urllib
import datetime
import calendar

WEATHER_DATA_URL = 'http://api.openweathermap.org/data/2.5/weather?q=Berlin,de&units=metric'
DB_PATH = ''

def get_data():

Tafkas

#!/bin/bash
# read and evaluate SML output received from EMH eHZ

# set serial device
INPUT_DEV="/dev/ttyUSB0"

#set $INPUT_DEV to 9600 8N1
stty -F $INPUT_DEV 1:0:8bd:0:3:1c:7f:15:4:5:1:0:11:13:1a:0:12:f:17:16:0:0:0:0:0:0:0:0:0:0:0:0:0:0:0:0

SML_START_SEQUENCE="1B1B1B1B0101010176"

Tafkas

#!/usr/bin/env python
# encoding: utf-8
"""
pysml.py
Created by Christian Stade-Schuldt on 2014-10-25.
"""

import sys
import os
import datetime