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A note on AIC scores for quasi-families in #rstats

May 5, 2017
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A note on AIC scores for quasi-families in #rstats

A summary note on recent set of #rstats discoveries in estimating AIC scores to better understand a quasipoisson family in GLMS relative to treating data as poisson. Conceptual GLM workflow rules/guidelines Data are best untransformed. Fit better model to data. Select your data structure to match purpose with statistical model. Use logic and understanding of data not

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Elements of a successful #openscience #rstats workshop

January 18, 2017
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Elements of a successful #openscience #rstats workshop

What makes an open science workshop effective or successful*? Over the last 15 years, I have had the good fortune to participate in workshops as a student and sometimes as an instructor. Consistently, there were beneficial discovery experiences, and at times, some of the processes highlighted have been transformative. Last year, I had the good fortune

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A set of #rstats #AdventureTime themed #openscience slide decks

October 9, 2016
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A set of #rstats #AdventureTime themed #openscience slide decks

Purpose I recently completed a set of data science for biostatistics training exercises for graduate students. I extensively used R for Data Science and Efficient R programming to develop a set of Adventure Time R-statistics slide decks. Whilst I recognize that they are very minimal in terms of text, I hope that the general visual flow can

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A review of ‘R for Data Science’ book @hadleywickham #rstats #openscience

August 17, 2016
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A review of ‘R for Data Science’ book @hadleywickham #rstats #openscience

Data science Data science is a critical component of many domains of research including the domain I primarily function – ecology. However, in teaching biostatistics within the university context, we have typically focussed on the statistics and less on the science of data (i.e. handling, understanding, and manipulating data). This is unfortunate, but the teaching landscape

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#rstudio #github missing command lines for mac setup @rstudio @github @swcarpentry

July 12, 2016
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#rstudio #github missing command lines for mac setup @rstudio @github @swcarpentry

Preamble Every few months, I try to do a clean install on my machine. I know that OS X Sierra is due out in September, but I elected to do a wipe and clean install now for the remainder of summer. Wipe, reinstall OSX from usb, brief minor hack/tweaks, then just a few apps including

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A common sense review of @swcarpentry workshop by @RemiDaigle @juliesquid @ben_d_best @ecodatasci from @brenucsb @nceas

May 16, 2016
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A common sense review of @swcarpentry workshop by @RemiDaigle @juliesquid @ben_d_best  @ecodatasci from @brenucsb @nceas

Rationale This Fall, I am teaching graduate-level biostatistics. I have not had the good fortune of teaching many graduate-level offerings, and I am really excited to do so. A team of top-notch big data scientists are hosted at NCEAS. They have recently formed a really exciting collaborative-learning collective entitled ecodatascience. I was also aware of

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A quick primer on power

March 19, 2015
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A quick primer on power

Cohen is power. Inferential statistics primarily invoke the following four key concepts: sample size, significance criterion, effect size, and statistical power. Cohen elegantly developed the maths, benchmarks, and key semantics associated with statistical power.   Statistical power is the long-term probability of rejecting the null hypothesis (typically assumed to be no difference between treatments) as

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