How We Know Us

Category: Requests

  • OpenShift.com – Now With R and rpy2

    A couple of weeks ago, I announced successfully installing and running R/rpy2 on OpenShift.com Ok #OpenShift ers, and #Rstats geeks. I have rpy2 running on OpenShift. What's next? http://t.co/Hu781FRFWT — Erich Morisse (@emorisse) April 24, 2013 Now, you can grab the installation process and bits for yourself* through github. http://github.com/emorisse/ROpenShift *I’d prefer (and will be…

  • Calculating Conditional Entropy in R

      conditionalEntropy <- function( graph ) {    # graph is a 2 or 3 column dataframe    if (ncol(graph) == 2 ) {       names(graph) <- c(“from”,”to”)       graph$weight <- 1    } else if (ncol(graph) == 3)       names(graph) <- c(“from”,”to”,”weight”)    max <- length(rle(paste(graph$from, graph$to))$values)  …

  • Load Volatility and Resource Planning for your Cloud

    Having your own cloud does not mean you are out of the resource planning business, but it does make the job a lot easier. If you collect the right data, with the application of some well understood statistical practices, you can break the work down into two different tasks: supporting workload volatility and resource planning.…

  • Measuring Load in the Cloud: Correcting for Seasonality

    Usage is over threshold, unleash the kraken!  Short run peaks are perfect for automated elasticity: the unpredictable consumption that we stay up late worrying about fulfilling.  But, short run peaks can be difficult to tease out from expected variation within the period: seasonality.  Using the open source statistical package R, we can separate and look…

  • Internet of Things and Twine

    I’ve been asked by a number of people what is this “Internet of Things?” So, here’s a draft. Where do you disagree? What if everything could share information? Internet of things is making sharing information simple by bringing the network capabilities of computers to anything and everything. Who knows what will happen in uses? Maybe…

  • Gov Palin’s Email Network (new visualization)

    Cleaned up the data a little, and created a new visualization to better demonstrate the split between the two connected clusters.  The center of the smaller one is a Gov Palin email address that has the “Gov Sponsored” qualifier. It looks like this email address was used for her constituents to get in touch with her. [huge…

  • Health Care Leans Republican

    3.6-times as many former congressional staffers turned health care lobbyists and their immediate connections have network ties closer to former President Bush, than to current President Obama. The connections in the network map shown below, and used for the analysis above, include people and organizations (e.g. corporate, not-for-profit, public, etc.) the people have been identified…

  • Health Care Lobbyists Part Deux

    Thanks everyone for showing the strong interest in the Lobbyist map.  I got a couple nice mentions at Mother Jones and LittleSis.org, but more importantly, I’ve added in all of the other names in the map. Circles are people, squares are organizations, and white circles are the lobbyists in question. If you’d rather the image…

  • Statistics::SocialNetworks Perl mod is live!

    Statistics::SocialNetworks has just been uploaded to CPAN, and as it percolates through the system I put forward the question, “What are we going to do with it?” My goal in getting a module into CPAN is easy access, and a starting point to where we can decide what tools we want, and not have to…

  • Election Influence by 527’s: Browsable Map

    I wanted to put out what’s been done so far on making yesterday’s post more interactive. There’s an awful lot that could be better about this map. Particularly legibility of labels in the core (it’s just too dense). If you want to see names, I suggest looking at the edges of the map. Michael Bommarito…