2900 search results for "TwitteR"

11 Million Yellow Slips – City of Toronto Parking Tickets, 2008-2011

June 2, 2012
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11 Million Yellow Slips – City of Toronto Parking Tickets, 2008-2011

IntroductionI don't know about you, but I really hate getting parking tickets. Sometimes I feel like it's all just a giant cash grab. Really? I can't park there between the hours of 11 and 3, but every other time is okay? Well, why the hell not?Bu...

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Distribution of Oft-Used Bash Commands

June 1, 2012
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Distribution of Oft-Used Bash Commands

Browsing commandlinefu.com today, I came across this little one-liner to display which commands I use most often. Here’s what I got: Yep, seems legit. I navigate and look at files a whole bunch (ls, cd, cat), and I do a butt tonne of editing (vim). I sudo like a boss, hop onto various servers (ssh),

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Life contingencies with R

June 1, 2012
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Life contingencies with R

I will be giving in less than four weeks a short course at the 6th R/Rmetrics Meielisalp Workshop & Summer School on Computational Finance and Financial Engineering organized by ETH Zürich, https://www.rmetrics.org/. The talk will be on Actuarial models with R, and first part will be dedicated to life insurance. A complete set of slides can be downloaded from the...

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Simple Text Mining with R

May 31, 2012
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Simple Text Mining with R

I’ve used R for many use cases and Text Mining is one of those. Below is a small snippet to get you started with R and Text Mining. require(fortunes) require(tm) sentences <- NULL for (i in 1:10) sentences <- c(sentences,fortune(i)$quote) d <- data.frame(textCol =sentences ) ds <- DataframeSource(d) dsc<-Corpus(ds) dtm<- DocumentTermMatrix(dsc, control = list(weighting =

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How to Stay Current in Bioinformatics/Genomics

May 29, 2012
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A few folks have asked me how I get my news and stay on top of what's going on in my field, so I thought I'd share my strategy. With so many sources of information begging for your attention, the difficulty is not necessarily finding what's interesting...

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Backtesting Classical Technical Patterns

May 28, 2012
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Backtesting Classical Technical Patterns

In the last post, Classical Technical Patterns, I discussed the algorithm and pattern definitions presented in the Foundations of Technical Analysis by A. Lo, H. Mamaysky, J. Wang (2000) paper. Today, I want to check how different patterns performed historically using SPY. I will follow the rolling window procedure discussed on pages 14-15 of the

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End of May flotsam

May 28, 2012
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End of May flotsam

The end is near! At least the semester is coming to an end, so students have crazy expectations like getting marks back for assignments, and administrators want to see exam scripts. Sigh! What has been happening meanwhile in Quantum Forest? … Continue reading →

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The R-Podcast Episode 7: Best Practices for Workflow Management

May 28, 2012
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Hello everybody, I am finally back with a new episode! In this episode: Hardware issues, major update to RStudio, new forums, and discussion on managing your workflow for projects. I discuss useful functions for executing R scripts and saving/loading R objects for future sessions, and summarize different solutions for organizing R code based on task

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Optim, you’re doing it wrong?

May 28, 2012
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Optim, you’re doing it wrong?

Call me uncouth, but I like my TV loud, my beer cold and my optimization functions as simple as possible. Therefore, what I write in this blog post is very much from a layman’s perspective, and I am happy to be corrected on any fundamental errors. I have recently become interested in writing my own

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The R-Podcast Episode 7: Best Practices for Workflow Management

May 28, 2012
By

Hello everybody, I am finally back with a new episode! In this episode: Hardware issues, major update to RStudio, new forums, and discussion on managing your workflow for projects. I discuss useful functions for executing R scripts and saving/loading R...

Read more »

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