1799 search results for "tutorial"

An idiot learns Bayesian analysis: Part 2

February 1, 2014
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An idiot learns Bayesian analysis: Part 2

A week ago, I wrote a bit about my personal journey to come to grips with Bayesian inference. I referred to the epiphany that when we're talking about Bayesian analysis, what we're talking about- in a tangible way- is using and modifying multivariate distributions. This reminds me of the moment, about twenty years ago now,

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Introducing the ecoengine package

January 30, 2014
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Introducing the ecoengine package

Natural history museums have long been valuable repositories of data on species diversity. These data have been critical for fostering and shaping the development of fields such as biogeography and systematics. The importance of these data repositories is becoming increasingly important, especially in the context of climate change, where a strong understanding of how species responded to past...

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Ryan Peek on Creating Shiny Apps

January 28, 2014
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Yesterday at the Davis R User’s Group1, Ryan Peek gave a talk about using the shiny package to create interactive web apps with R. Here are his slides. Ryan includes a bunch of links to examples and tutorials, as well as his own thermohydrographs app: Thanks to Revolution Analytics for another year of...

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R: Essentials

January 25, 2014
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It is quite easy to get started with R. The very first step is to download R from the official website , and install it. I suggest that you install both 32-bit and 64-bit versions for greater compatibility if you are running a 64-bit operating system. For typical statistical programming, if your dataset is not huge, it...

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R: Essentials

January 25, 2014
By

It is quite easy to get started with R. The very first step is to download R from the official website , and install it. I suggest that you install both 32-bit and 64-bit versions for greater compatibility if you are running a 64-bit operating system. For typical statistical programming, if your dataset is not huge, it...

Read more »

R: Getting Started

January 23, 2014
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R rocks in both academia and industry nowadays. A rapidly increasing number of researchers choose R to be one of their productive tools for data analysis and data visualization. It is partially because the software is totally free and open-source but also because the community behind the stage who contributes to nearly 5000 packages remains growing, which results in...

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R: Getting Started

January 23, 2014
By

R rocks in both academia and industry nowadays. A rapidly increasing number of researchers choose R to be one of their productive tools for data analysis and data visualization. It is partially because the software is totally free and open-source but also because the community behind the stage who contributes to nearly 5000 packages remains growing, which results in...

Read more »

A brief foray into parallel processing with R

January 21, 2014
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A brief foray into parallel processing with R

I’ve recently been dabbling with parallel processing in R and have found the foreach package to be a useful approach to increasing efficiency of loops. To date, I haven’t had much of a need for these tools but I’ve started working with large datasets that can be cumbersome to manage. My first introduction to parallel

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analyze the national survey of oaa participants (nps) with r

January 21, 2014
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the united states administration on aging (aoa) spends about a billion dollars on community services and meals for elderly americans every year.  enacted as part of lyndon johnson's great society program, title iii of the older americans act funds...

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Rectangular Integration (a.k.a. The Midpoint Rule)

Rectangular Integration (a.k.a. The Midpoint Rule)

Introduction Continuing on the recently born series on numerical integration, this post will introduce rectangular integration.  I will describe the concept behind rectangular integration, show a function in R for how to do it, and use it to check that the distribution actually integrates to 1 over its support set.  This post follows from my

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