joseph-rickert

Package	Talk	Speaker
AF	'AF' a new package for estimating the attributable fraction	Dahlqwist
archivist	How to use the archivist package to boost reproducibility of your research	Biecek
argufy	Tools for Robust R Packages	Csárdi
assertive	Run-time Testing Using assertive	Cotton
bamdit	bamdit: An R Package for Bayesian Meta-Analysis of Diagnostic Test Data	Verde
bayesboot	bayesboot: An R package for easy Bayesian bootstrapping	Bååth
bayesDem	United Nations World Population Projections with R	Ševčíková
bayesLife	United Nations World Population Projections with R	Ševčíková
bayesmix	Bayesian analysis of generalized linear mixed models with JAGS	Plummer

joseph-rickert

# Joseph Rickert
# April 2016
# Some code for reading:
# LOGISTIC REGRESSION, SURVIVL ANALYSIS, AND THE KAPLAN-MEIER CURVE
# by Bradley Efron (1987)
#https://statistics.stanford.edu/sites/default/files/BIO%20115.pdf
library(survival)
library(ggplot2)

#--------------------------------------

joseph-rickert

# GBM Model from AsureML Vignette
# https://cran.r-project.org/web/packages/AzureML/vignettes/getting_started.html
library(AzureML)
library(MASS)
library(gbm)

# My Workspace Credentials
# Note my credentials are stored in a file
ws <- workspace(
  config="azureml-settings.json"

joseph-rickert

set.seed(0)
 actual = c('a','b','c')[runif(100, 1,4)] # actual labels
 predicted = actual # predicted labels
 predicted[runif(30,1,100)] = actual[runif(30,1,100)]  # introduce incorrect predictions
 cm = as.matrix(table(Actual = actual, Predicted = predicted)) # create the confusion matrix
 cm
##       Predicted
## Actual  a  b  c
##      a 24  2  1
##      b  3 30  4

joseph-rickert

#------------------------------------------------------------ 
# REVOLUTION ANALYTICS WEBINAR: INTRODUCTION TO R FOR DATA MINING
# February 14, 2013
# Joseph B. Rickert
# Technical Marketing Manager
#
# BIG DATA with RevoScaleR
#
# Copyright: Revolution Analytics