Monthly Archives: August 2013

Geeky Reviews – Madras Cafe via Twitter

August 24, 2013
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Geeky Reviews – Madras Cafe via Twitter

It seems like I have been going south since the blog started, first with the politicians and then Chennai Express. So continuing that journey, this time around I am looking at a Madras Cafe to find out what the TwitterVerse has been talking about it. Now the process is pretty much similar to that of... Read More ...

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Residuals from a logistic regression

August 23, 2013
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Residuals from a logistic regression

I always claim that graphs are important in econometrics and statistics ! Of course, it is usually not that simple. Let me come back to a recent experience. A got an email from Sami yesterday, sending me a graph of residuals, and asking me what could be done with a graph of residuals, obtained from a logistic regression ?...

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New Webinar: High Performance Predictive Analytics in R and Hadoop

August 23, 2013
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This coming Tuesday, August 27, our US Chief Scientist Mario Inchosa will reveal some details of the forthcoming in-Hadoop predictive analytics capabilities of Revolution R Enterprise 7, due for release later this year. Here's the abtract of his webinar, High Performance Predictive Analytics in R and Hadoop: Hadoop is rapidly being adopted as a major platform for storing and...

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Update to metvurst

August 23, 2013
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Update to metvurst

Here's a quick update to metvurst in response to some issues encountered over the last weeks. The most important change is that the strip() function now returns the plot object rather than printing it. This means that we can work … Continue reading →

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Exploring the robustness of Bayes Factors: A convenient plotting function

August 23, 2013
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Exploring the robustness of Bayes Factors: A convenient plotting function

One critique frequently heard about Bayesian statistics is the subjectivity of the assumed prior distribution. If one is cherry-picking a prior, of course the posterior can be tweaked, especially when only few data points are at hand. For example, see the Scholarpedia article on Bayesian statistics: In the uncommon situation that the data are extensive

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Rcmdr version 2.0-0 now on CRAN

August 23, 2013
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Rcmdr version 2.0-0 now on CRAN

Guest post by John Fox (based on his announcement in the mailing list) Dear R-help list members, Version 2.0-0 of the Rcmdr package is now on CRAN and should appear presently on the various CRAN mirrors. As its number implies, this version represents a milestone in the development of the package, which first appeared on CRAN more than 10 years ago. The...

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GitHub renders CSV in the browser, becomes even better for social data set creation

August 22, 2013
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GitHub renders CSV in the browser, becomes even better for social data set creation

I've written in a number of places about how GitHub can be a great place to store data. Unlike basically all other web data storage sites (many of which I really like such as Dataverse and FigShare) GitHub enables deep social data set development and f...

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Quantifying uncertainty around R-squared for generalized linear mixed models

August 22, 2013
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Quantifying uncertainty around R-squared for generalized linear mixed models

People love $R^2$. As such, when Nakagawa and Schielzeth published an article in the journal Methods in Ecology and Evolution earlier this year, ecologists (amid increasing use of generalized linear mixed models (GLMMs)) rejoiced. Now there’s an R function that automates $R^2$ calculations for GLMMs fit with the lme4 package. $R^2$ is usually reported as a...

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‘Tis the Season for September Bearishness?

August 22, 2013
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‘Tis the Season for September Bearishness?

Is September Bearish? Traders love discussing seasonality, and September declines in US equity markets are a favorite topic. Historically September has underperformed every other month of the year, offering a mean return of -.56% on the S&P 500 index from 1950 to 2012; 54% of Septembers were bearish over the same period – more than any other month. Empirically, September...

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Forecasting with Neural Network (using SAP HANA and R)

Forecasting with Neural Network (using SAP HANA and R)

Usually...when I use R...I try to use it with SAP HANA as well...and the most simple way to make them work is for sure an ODBC connection....fast and simple...First, I went to my SAP HANA Studio to get the query...which is basically...get all the seats...

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