42 search results for "ecdf"

Hard drive occupation prediction with R – part 2

Hard drive occupation prediction with R – part 2

On the first article, we saw a quick-and-dirty method to predict disk space exhaustion when the usage pattern is rigorously linear. We did that by importing our data into R and making a linear regression.In this article we will see the problems wit...

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Hard drive occupation prediction with R – part 2 – Getting the probability distribution

Hard drive occupation prediction with R – part 2 – Getting the probability distribution

On the first article, we saw a quick-and-dirty method to predict disk space exhaustion when the usage pattern is rigorously linear. We did that by importing our data into R and making a linear regression.In this article we will see the problems with that method, and deploy a more robust solution. Besides robustness, we will also see how we can generate...

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Visualizing US House Results with a Seats-Votes curve

November 16, 2010
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Visualizing US House Results with a Seats-Votes curve

A few weeks ago I wrote about ways to compare major-party returns in US House elections. I experimented with several visualizations, none as useful as the seats-votes curve. A traditional seats-votes cure measures average party performance against individual US House results. Our simplified curve uses a density plot to measure major-party (Democratic, in this case)

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Cooling stations. A UHI Hint

September 29, 2010
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Cooling stations. A UHI Hint

Update: google earth files in the box: Personally I like to look at things backwards. Why are cool sites cool? So download the kml or kmz file and you can tour 62 sites: All with 90 years of data or more. All with a cooling trend. And all “supposedly” urban. what do you see at

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Monte Carlo testing of classification groups

September 1, 2010
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Monte Carlo testing of classification groups

This is another article on the theme of defining groups in a hierarchical classification. A previous article described homogeneity analysis to visualize how any well any number of groups, defined at the same level accounts for the variability in the da...

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Monte Carlo testing of classification groups

September 1, 2010
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This is another article on the theme of defining groups in a hierarchical classification. A previous article described homogeneity analysis to visualize how any well any number of groups, defined at the same level accounts for the variability in the dataset, as measured by within-group pairwise distances. Here we will look at testing whether splitting a particular group...

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R’s Normal Distribution Functions: rnorm and pals

July 14, 2010
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The rnorm() function in R is a convenient way to simulate values from the normal distribution, characterized by a given mean and standard deviation. I hadn't previously used the associated commands dnorm() (normal density function), pnorm() (cumulative...

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Visualizing Drought

March 6, 2010
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Visualizing Drought

The impacts of drought depend on time-scale. On short time-scales, drought means dry soil. On long time-scales, it means dry rivers and empty reservoirs. A region may simultaneously experience dry conditions on one time-scale and wet conditions on another e.g. wet soil but low streamflow or visa versa. Standardized Precipitation Index (SPI) is a widely

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Package Update Roundup: Dec 2009 – Jan 2010

February 9, 2010
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A special double edition of the Package Update Roundup this month! This is a list of new or updated packages that were released for R in December and January, as announced on the r-packages mailing list. To include other updates on this list, please email David Smith. For a complete list of all updates on CRAN, see the CRANberries...

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Survive R

September 29, 2009
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New PDF slides version (presented at the Bay Area R Users Meetup October 13, 2009). We at Win-Vector LLC appear to like R a bit more than some of our, perhaps wiser, colleagues ( see: Choose your weapon: Matlab, R or something else? and R and data ). While we do like R (see: ExcitingRelated posts:

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