Posts Tagged ‘ teaching ’

R’s increasing popularity. Should we care?

May 17, 2012
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R’s increasing popularity. Should we care?

Some people will say ‘you have to learn R if you want to get a job doing statistics/data science’. I say bullshit, you have to learn statistics and learn to work in a variety of languages if you want to … Continue reading →

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Montreal R Workshop: Introduction to Bayesian Methods

March 22, 2012
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Montreal R Workshop: Introduction to Bayesian Methods

Monday, March 26, 2012  14h-16h, Stewart Biology N4/17 Corey Chivers, Department of Biology McGill University This is a meetup of the Montreal R User Group. Be sure to join the group and RSVP. More information about the workshop here. Topics Why would we want to be Bayesian in the first place?  In this workshop we

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π Day Special! Estimating π using Monte Carlo

March 14, 2012
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π Day Special! Estimating π using Monte Carlo

In honour of π day (03.14 – can’t wait until 2015~) , I thought I’d share this little script I wrote a while back for an introductory lesson I gave on using Monte Carlo methods for integration. The concept is simple – we can estimate the area of an object which is inside another object

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Gauging Interest in a Montreal R User Group

February 7, 2012
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Gauging Interest in a Montreal R User Group

Some of us over at McGill’s Biology Graduate Student Association have been developing and delivering R/Statistics workshops over the last few years. Through invited graduate students and faculty, we have tackled  everything from multi-part introductory workshops to get your feet wet, to special topics such as GLMs, GAMs, Multi-model inference, Phylogenetic analysis, Bayesian modeling, Meta-analysis,

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Early-February flotsam

February 7, 2012
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Early-February flotsam

Mike Croucher at Walking Randomly points out an interesting difference in operator precedence for several mathematical packages to evaluate a simple operation 2^3^4. It is pretty much a divide between Matlab and Excel (does the later qualify as mathematical software?) … Continue reading →

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Monty Hall by simulation in R

February 3, 2012
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Monty Hall by simulation in R

(Almost) every introductory course in probability introduces conditional probability using the famous Monte Hall problem. In a nutshell, the problem is one of deciding on a best strategy in a simple game. In the game, the contestant is asked to select one of three doors. Behind one of the doors is a great prize (free

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Mid-January flotsam: teaching edition

January 17, 2012
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Mid-January flotsam: teaching edition

I was thinking about new material that I will use for teaching this coming semester (starting the third week of February) and suddenly compiled the following list of links: William Briggs writes It is time to stop teaching Frequentism to … Continue reading →

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R, academia and the democratization of statistics

December 12, 2011
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R, academia and the democratization of statistics

I am not a statistician but I use statistics, teach some statistics and write about applications of statistics in biological problems. Last week I was in this biostatistics conference, talking with a Ph.D. student who was surprised about this situation … Continue reading →

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On the (statistical) road, workshops and R

December 3, 2011
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On the (statistical) road, workshops and R

Things have been a bit quiet at Quantum Forest during the last ten days. Last Monday (Sunday for most readers) I flew to Australia to attend a couple of one-day workshops; one on spatial analysis (in Sydney) and another one … Continue reading →

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If you are writing a book on Bayesian statistics

November 23, 2011
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This post is somewhat marginal to R in that there are several statistical systems that could be used to tackle the problem. Bayesian statistics is one of those topics that I would like to understand better, much better, in fact. … Continue reading →

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