There are many options to do pathway analysis with R and BioConductor. First, it is useful to get the KEGG pathways: Of course, “hsa” stands for Homo sapiens, “mmu” would stand for Mus musuculus etc. Incidentally, we can immediately make an analysis using gage. However, gage is tricky; note that ... [Read more...]

This is something I did a while ago using the Berlin Affective Word List (BAWL).The BAWL contains ratings for 2902 German words (2107 nouns, 504 verbs, 291 adjectives). Ratings were collected for emotional valence (bad vs. good), arousal (the grade of valence) and imaginability (how well you can imagine the specific word). Please ... [Read more...]

Things should be as simple as possible, but not simpler (Albert Einstein) Following with conjectures about primes, it is time for Andrica’s conjecture. The great mathematician Leonhard Euler (1707-1783) pointed: “Mathematicians have tried with no success to find some kind of order in the sequence of prime numbers and ... [Read more...]

Introduction New Pandoc Installing LaTeX Packages Introduction R Markdown Version 2 is a boon to students: with a single click one can convert an R Markdown file to either HTML, PDF or Word format. However, getting this feature to work fully in the R Studio server environment may require a bit ... [Read more...]

While I was in LA for the useR! 2014 conference last month, I had the great pleasure of being among the participants in the DataScienceLA interview series hosted by Eduardo Ariño de la Rubia. Eduardo is both an R user and an excellent interviewer: his preparation and knowledge of R ... [Read more...]

UPDATE The statebins package is now available on CRAN I became enamored (OK, obsessed) with a recent visualization by the WaPo team which @ryanpitts tweeted and dubbed statebins: Statebins! RT @kevinschaul: States with the most jobs lost or threatened because of trade. http://t.co/r1pJhudpz3 pic.twitter.com/... [Read more...]

.main-container { max-width: 940px; margin-left: auto; margin-right: auto; } Introduction Sometimes R code just isn’t fast enough and there’s no simply way to make the code any faster. The Rcpp package provides a consistent API for s... [Read more...]

Two new R packages are quickly becoming standards in the R community: Hadley Wickham’s dplyr and tidyr. The dplyr package almost completely replaces his popular plyr package for data manipulation. Most importantly for general R use, it makes it much easier … Continue reading → [Read more...]

Original post from Robin's Blog:Software is very important in science – but good software takes time and effort that could be used to do other work instead. I believe that it is important to do this work – but to make it worthwhile, people need to get credit for their work, ... [Read more...]

What is the Gauss-Markov theorem? From “The Cambridge Dictionary of Statistics” B. S. Everitt, 2nd Edition: A theorem that proves that if the error terms in a multiple regression have the same variance and are uncorrelated, then the estimators of the parameters in the model produced by least squares estimation ... [Read more...]

Thing To Try After useR! part 2 (TTTAR2) Originally, this post was supposed to be a sequel to TTTAR1 about h2o machine learning. Since TTTAR1 I have been carrying out more h2o tests both locally and on the cloud with the very kind support of Nick Elprin from Domino. ... [Read more...]

by Norman Matloff The American Statistical Association (ASA) leadership, and many in Statistics academia. have been undergoing a period of angst the last few years, They worry that the field of Statistics is headed for a future of reduced national influence and importance, with the feeling that: The field is ... [Read more...]

As of today (Tuesday 26th of August), a new session of Professor Eric Zivot’s course on computational finance and financial econometrics starts on Coursera. Just like the previous run of the course, most R labs and R assignments will take place in DataCamp’s interactive learning environment. Designed by ... [Read more...]

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The American Statistical Association (ASA)  leadership, and many in Statistics academia. have been undergoing a period of angst the last few years,  They worry that the field of Statistics is headed for a future of reduced national influence and importance, with the feeling that: The field is to a large ... [Read more...]

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Introduction The chi-squared test of independence is one of the most basic and common hypothesis tests in the statistical analysis of categorical data.  Given 2 categorical random variables, and , the chi-squared test of independence determines whether or not there exists a statistical dependence between them.  Formally, it is a hypothesis test ... [Read more...]

The popular wisdom is that “massive workloads” result in a decline in running back productivity in the following season. For example, anecdotal evidence using Corey Dillon (2004) and Jamaal Anderson[...] The post Do Massive Workloads Equal Big Declines in Running Back Productivity? appeared first on Fantasy Football Analytics. [Read more...]

A map gives us the big picture, which is why mapping has become so important in marketing research. What is the perceptual structure underlying the European automotive market? All we need is a contingency table with cars as the rows, attributes as the ... [Read more...]

This week, I had a discussion with a few of my colleagues on the possibility of utilizing remote sensing data or satellite images to improve our statistical estimation such as imputation. One source of interest is the Normalized Difference Vegetation Index which quantify the concentrations of green leaf vegetation around ... [Read more...]