Posts Tagged ‘ statistical software ’

MCMSki IV, Jan. 6-8, 2014, Chamonix (news #5)

April 15, 2013
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MCMSki IV, Jan. 6-8, 2014, Chamonix (news #5)

More exciting news about MCMSki IV! First thing first, the 16 contributed sessions are now all-set, having gotten the stamp of approval from the scientific committee! Thanks to everyone who submitted a session proposal. (There were so many proposals that we alas had to reject some, as well as every single talk proposal… Sorry people: […]

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Reblog: the statistics software signal

January 12, 2013
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Reblog: the statistics software signal

Some interesting comments about statistical softwares and the people who use them from Sean J. Taylor‘s The Statistics Software Signal What your statistical software says about you (to me): R: You are willing to invest in learning something difficult.  You do not care about aesthetics, only availability of packages and getting results quickly. Python or JVM languages: […]

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R Is Not So Hard! A Tutorial, Part 3

January 11, 2013
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R Is Not So Hard! A Tutorial, Part 3

Today we learn how to obtain useful diagnostic information about a regression model and then how to draw residuals on a plot.

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R is Not So Hard! A Tutorial, Part 2

October 30, 2012
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R is Not So Hard! A Tutorial, Part 2

In Part 1 we installed R and used it to create a variable and summarize it using a few simple commands. Today let’s re-create that variable and also create a second variable, and see what we can do with them.

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R is Not So Hard! A Tutorial, Part 1

June 29, 2012
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R is Not So Hard!  A Tutorial, Part 1

OK. Indeed, R has a longer learning curve than other systems, but don’t let that put you off! Once you master the syntax, you have control of an immensely powerful statistical tool. Actually, much of the syntax is not all that difficult. Don’t believe me? To prove it, let’s look at some syntax for providing summary statistics on a continuous variable.

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