mattbaggott

library(ggplot2)
library(ggmap)

# blue bottle coffee shops in SF area
latitude <- c(37.782375,37.795933,37.776327,37.762033,37.795966,37.785936)
longitude <- c(-122.407567,-122.273128,-122.42328,-122.411603,-122.394025,-122.400761)
df2 <- data.frame(longitude=longitude,latitude=latitude)

# df to make map title on the water
dflabels <- data.frame(longitude=-122.678,

mattbaggott

*.pyc

mattbaggott

#
# PREDICTING LONG TERM CUSTOMER VALUE WITH BTYD PACKAGE
# Pareto/NBD (negative binomial distribution) modeling of 
# repeat-buying behavior in a noncontractual setting
#
# Matthew Baggott, matt@baggott.net
#
# Accompanying slides at:
# http://www.slideshare.net/mattbagg/baggott-predict-customerinrpart1#
#

mattbaggott

#
# Functions to make ggplot KM survivor curves made with survfit() in library(survival)
#
# code written by Ramon Saccilotto
# and included in his ggplot2 tutorial
# 2010-12-08

# define custom function to create a survival data.frame
createSurvivalFrame <- function(f.survfit){
  # initialise frame variable

mattbaggott

##
## Example code for time-to-event analysis in R
## matt@baggott.net
## Dec 28, 2012
##
## joineR package: analyzing longitudinal data where the response
## from each person is a time-sequence of repeated measurements 
## and we are interested in a possibly censored time-to-event outcome
##
## example: repeated ad viewings leading to a sale

mattbaggott

##
## Sample code to demonstrate circular time plots in R
## matt@baggott.net
## Dec 22, 2012

# inspired by 
# http://stackoverflow.com/questions/2076370/most-underused-data-visualization

library(lubridate)
library(circular)

mattbaggott

##
## Vignette code for ggsubplot with needed map_afghanistan and map_americas layers
## matt@baggott.net
## Dec 16, 2012

# install.packages("ggsubplot")

library(ggplot2)
library(ggsubplot)
library(maps)

mattbaggott

#Setup
rm(list = ls(all = TRUE)) #CLEAR WORKSPACE

#Directory
setwd("~/Overfitting")

#Load Required Packages
library('caTools')
library('caret')
library('glmnet')

mattbaggott

##
## Sample code to teach about timezones in R
## matt@baggott.net
## Dec 13, 2012

## Time zones are important to understand when working with dates
## because the most common date class for R, POSIX, is actually a date/time
## class. (POSIX = "Portable Operating System Interface,
## an IEEE standard)
##

mattbaggott

##
## demonstration of distributions overlapping on lineplots
## matt@baggott.net
## Dec 11, 2012
##
## in response to: http://stats.stackexchange.com/questions/45591/r-plot-time-indexed-densities/45614#45614

library(ggplot2)   # for plotting
library(lubridate) # for getting year from dates in dataset
library(plyr)      # for getting annual mean easily