1695 search results for "Excel"

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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Date Formats in R

August 22, 2013
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Importing DatesDates can be imported from character, numeric, POSIXlt, and POSIXct formats using the as.Date function from the base package.If your data were exported from Excel, they will possibly be in numeric format. Otherwise, they will m...

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Finding Correlations in Data with Uncertainty: Classical Solution

August 13, 2013
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Following up on my previous post as a result of an excellent suggestion from Andrej Spiess. The data are indeed very heteroscedastic! Andrej suggested that an alternative way to attack this problem would be to use weighted correlation with weights being the inverse of the measurement variance. Let’s look at the synthetic data first. This is

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Some belated spring cleaning

August 11, 2013
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Some belated spring cleaning

A very busy spring has transitioned into a very busy summer, so let me recap a few topics that probably deserve more time than I’ll give them here. Here are the things I’m overdue on, in no particular order: Publications In the March edition of the Journal of Risk, Kris Boudt, Brian Peterson and I

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In case you missed it: July 2013 Roundup

August 9, 2013
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In case you missed them, here are some articles from July of particular interest to R users: A new 90-second, creative commons video helps R enthusiasts share the history, community and applications of R. Analyst group Butler Analytics reviews 10 predictive analytics platforms, and says that "real analysts use R". An excellent example of Simpsons Paradox: US median wages...

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K-means Clustering (from “R in Action”)

August 7, 2013
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K-means Clustering (from “R in Action”)

In R’s partitioning approach, observations are divided into K groups and reshuffled to form the most cohesive clusters possible according to a given criterion. There are two methods—K-means and partitioning around mediods (PAM). In this article, based on chapter 16 of R in Action, Second Edition, author Rob Kabacoff discusses K-means clustering. Read more »

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The Stats Chat Blog

August 6, 2013
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Recently, I've begun following the Stats Chat blog. Run by the Department of Statistics at the University of Auckland - the largest statistics department in New Zealand or Australia (and the birthplace of R) - this blog apparently started in April of this year.It's aim is:"to foster discussion of data around us, particularly in the media, and...

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How Much Should Bale Cost Real?

August 5, 2013
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How Much Should Bale Cost Real?

It looks increasingly likely that Gareth Bale will transfer from Tottenham to Real Madrid for a world record transfer fee. Negotiations are ongoing, with both parties keen to get the best deal possible deal with the transfer fee. Reports speculate that this transfer fee will be anywhere in the very wide range of £80m to

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An example of monkey patching a package

August 1, 2013
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An example of monkey patching a package

An example of monkey patching a package 2013-07-11 Source Scope This article is about R package development. Motivation In the same spirit that my previous post A dirty hack for importing packages that use Depends , I wanted to use an earlier version of the excellent gdata package in one of my packages, but as an Import instead of...

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How divided is the Senate?

July 29, 2013
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How divided is the Senate?

I very seldom pay attention to politics directly, because politics have always seemed a bit circular and cyclical to me. Most of the political news that I take in ends up worming its way into the news sources that I do consume, like the excellent longform.org. Even given my limited intake of political news, one trend...

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