1990 search results for "ggplot"

Plotting grouped data vs time with error bars in R

October 31, 2011
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Plotting grouped data vs time with error bars in R

This is my first blog since joining R-bloggers. I’m quite excited to be part of this group and apologize if I bore any experienced R users with my basic blogs for learning R or offend programmers with my inefficient, sloppy … Continue reading →

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Power Tools for Aspiring Data Journalists: R

October 31, 2011
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Power Tools for Aspiring Data Journalists: R

Picking up on Paul Bradshaw’s post A quick exercise for aspiring data journalists which hints at how you can use Google Spreadsheets to grab – and explore – a mortality dataset highlighted by Ben Goldacre in DIY statistical analysis: experience the thrill of touching real data, I thought I’d describe a quick way of analysing

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Sampling for Monte Carlo simulations with R

October 31, 2011
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Sampling for Monte Carlo simulations with R

I've knocked together a quick function for generating efficient Monte Carlo samples. It takes a bit of the legwork out of running Monte Carlo simulations.

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Installing R 2.14.0 on an iBook G4 running Mac OS 10.4.11

October 30, 2011
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Installing R 2.14.0 on an iBook G4 running Mac OS 10.4.11

My 12" iBook G4 is celebrating its 8th birthday today! Time for a little present. How about R 2.14.0?The iBook is still in daily use, mostly for browsing the web, writing e-mails and this blog; and I still use it for R as well. For a long time it run R...

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Comparison of ave, ddply and data.table

October 28, 2011
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Comparison of ave, ddply and data.table

This is a copy of a post by me on the R-statistics blog. Fortran and C programmers often say that interpreted languages like R are nice and all, but lack in terms of speed. How fast something works in R… See more ›

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Mixed-Effects Models in R with Quantum Forest

October 26, 2011
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For anyone who wants to estimate linear or nonlinear mixed-effects models (aka random-effects models, hierarchical models or multilevel models) using the R language, the Quantum Forest blog has several recent posts that will be of interest. Written by Luis Apiolaza from the School of Forestry at the University of Canterbury in New Zealand, the blog includes a number of...

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Machine Learning Ex 5.2 – Regularized Logistic Regression

October 25, 2011
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Machine Learning Ex 5.2 – Regularized Logistic Regression

Now we move on to the second part of the Exercise 5.2, which requires to implement regularized logistic regression using Newton's Method. Plot the data:

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Installing the RMySQL package on Windows 7

October 25, 2011
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So you want to get statistical? Nowadays one of the ways to go is to use R, mostly in combination with ggplot2 for generating the plots. These plots and graphs however need some data, for that we use data sources. There are a lot of data sources availa...

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Machine Learning Ex 5.1 – Regularized Linear Regression

October 25, 2011
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Machine Learning Ex 5.1 – Regularized Linear Regression

The first part of the Exercise 5.1 requires to implement a regularized version of linear regression. Adding regularization parameter can prevent the problem of over-fitting when fitting a high-order polynomial. Read More: 194 Words Totally

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Simple Heatmap in R with Formula One Dataset

October 24, 2011
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Simple Heatmap in R with Formula One Dataset

Now, that the 2011 F1 season is over I decided to quickly scrub the Formula 1 data of the F1.com website, such as the list of drivers, ordered by the approximate amount of salary driver is getting (top list driver is making the most, approx. 30MM) and position at the end of each race. There

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