# As a homage to Yitang Zhang who has proven a mind-bending property of Prime Pairs, I have written a prime Sieve to detect all of the prime numbers from 1 to N.# There might very well be a function in the base package that already does this. &nbs...
I was working with a small experiment which includes families from two Eucalyptus species and thought it would be nice to code a first analysis using alternative approaches. The experiment is a randomized complete block design, with species as fixed … Continue reading →
Some doctors receive more malpractice reports than others. Just how unequal is the distribution of malpractice reports?
The post 1.5 percent of doctors, a quarter of malpratice reports appeared first on Decision Science News.
# The SIR Model (susceptible, infected, and recovered) model is a common and useful tool in epidemiological modelling.
# In this post and in future posts I hope to explore how this basic model can be enriched by including different population groups or disease vectors.
# Simulation Population Parameters:
# Proportion Susceptible
Sp = .9
# Proportion...
In this blogpost, I want to dive deeper into the explanation of the relationship between Frequency and Recency of Visits with the Conversion Rate and Average Order Value. I have used the RGA package for data extraction and Dr. Hadley Wickham’s ggplot2 package to achieve the visualizations. Here’s the data aggregation script : #transactions dataframe
My last post discussed a technique for integrating functions in R using a Monte Carlo or randomization approach. The mc.int function (available here) estimated the area underneath a curve by multiplying the proportion of random points below the curve by the total area covered by points within the interval: The estimated integration (bottom plot) is 
I was recently asked by a client to create a large number of “proof of concept” visualizations that illustrated the power of R for compiling and analyzing disparate datasets. The client was specifically interested in automated analyses of global data. A little research led me to the WDI package. The WDI package is a tool
The post Global...
Update: I am aware the table of contents are being displayed in bullet form as I intended. The web template I'm using seems to be buggy. It also seems to think this page is in Indonesian...Working on it!
Table of Contents:
The initial version of the timeline package has been released to CRAN. This package provides creates timeline plots using ggplot2 in a style similar to Preceden. I would considered this beta quality as there are more features I would like to add but has enough functionality to possibly be useful to others.
install.packages('timeline',repos='http://cran.r-project.org')
require(timeline)
data(ww2)
timeline(ww2, ww2.events, event.spots=2, event.label='', event.above=FALSE)Read more »
Model selection is a process of seeking the model in a set of candidate models that gives the best balance between model fit and complexity (Burnham & Anderson 2002). I have always used AIC for that. But you can also…
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
