1288 search results for "excel"

Some Additional Thoughts on Useless Averages

Some Additional Thoughts on Useless Averages

In my last post, I described three situations where the average of a sequence of numbers is not representative enough to be useful: in the presence of severe outliers, in the face of multimodal data distributions, and in the face of infinite-variance distributions.  The post generated three interesting comments that I want to respond to here.First and foremost, I...

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Experiences with using SAS and R in insurance and banking

August 23, 2011
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Experiences with using SAS and R in insurance and banking

In July 2011, Hong Ooi presented an engaging talk to Melbourne R Users Group. Both David Smith from Revolutions and Eugene Dubossarsky behind the Analyst First movement have discussed the presentation. The video of the talk is now available for … Continue reading →

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Experiences with using SAS and R in insurance and banking

August 23, 2011
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Hong Ooi talks about some of the more interesting projects that he has used R for in the last year. These include fitting models for mortgage loss given default, a Monte Carlo application for stress-testing loan portfolios (in combination with Excel an...

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Bayesian analysis: Comparing algorithms Part 1?

August 22, 2011
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Bayesian analysis: Comparing algorithms Part 1?

I recently had the opportunity to engage in some Bayesian analysis at work. I was able to state the problem in terms of the lognormal distribution, and took advantage of JAGS and its integration with "R" using the R2jags package. The client was very ha...

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Tenure track position in systematics at the University of Vermont

August 22, 2011
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Tenure track position in systematics at the University of Vermont

There is an awesome position opening up for an assistant professor in systematics at the University of Vermont. Below is the announcement, and see the original post at the Distributed Ecology blog. Why is this related to R? One can do a lot of systemat...

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tty Connection + sas7bdat: useR! 2011 Presentation Slides

August 21, 2011
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tty Connection + sas7bdat: useR! 2011 Presentation Slides

Experimenting with a tty Connection for R I presented twice at this years useR!. The first was a regular talk on the tty connection patch for R. The talk went smoothly, despite a live demonstration using the DLP-232PC data acquisition module (datasheet). The slides for this presentation are here: shotwell-tty-useR-2011.pdf The image above is a

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R Code Optimization

August 16, 2011
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R Code Optimization

Handling Large Data with R The following experiments are inspired from this excellent presentation by Ryan Rosario: http://statistics.org.il/wp-content/uploads/2010/04/Big_Memory%20V0.pdf. R presents many I/O functions to the users for reading/writing data such as ‘read.table’ , ‘write.table’ -> http://cran.r-project.org/doc/manuals/R-intro.html#Reading-data-from-files. With data growing larger by the day many new methodologies are available in order to achieve faster I/O operations.

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High Performance Computing

August 16, 2011
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High Performance Computing

Wilem Ligtenberg – GPU computing and R Why GPU computing – theoretical GFLOPs for a GPU is three times greater than a CPU. Use GPUs for same instruction multiple data problems (SIMD). Initially GPUs were developed for texture problems. For example, a wall smashed into lots of pieces. Each core handled a single piece. CUDA

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R Code Examples on Graphics

August 16, 2011
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R Code Examples on Graphics

Some useful R code examples on  graphics are: Learn R Toolkit: It contains PowerPoint slideshows, videos, R scripts and data files to help Excel users move up to R. R code examples are provided for panel charts, conditional format, dot … Continue reading →

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Kaleidoscope Ic (useR! 2011)

August 16, 2011
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Kaleidoscope Ic (useR! 2011)

These are my rough notes on the Kaleidoscope Ic session. David Smith – The R Ecosystem (useR! 2011) David Smith works for Revolution Analytics. Quick overview of the R project – useR, r-journal, and r-forge. Social media starting to play a part in R – Google+, twitter, stackoverflow, and the traditional R mailing list. The

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