1495 search results for "regression"

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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Relationship Between SAT & College Retention

January 21, 2011
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Relationship Between SAT & College Retention

Here is a quick analysis of the relationship between SAT score and student retention. The data is from the Integrated Postsecondary Education Data System (IPEDS) and analyzed using R. This was a quick analysis and would be careful about making any strong conclusions. The source for running this analysis along with some additional graphics that

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sab-R-metrics: Beginning with Boxplots, Scatterplots, and Histograms

January 15, 2011
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sab-R-metrics: Beginning with Boxplots, Scatterplots, and Histograms

Today I decided to begin more with visualizations and less with basic statistical analysis for sabermetrics using R. I'm not really here to teach the ins and outs of regressions and statistical tests, so once I get there, I'm hoping that those who have read this already have a decent understanding of those subjects before implementing them. ...

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sab-R-metrics: Beginning with Boxplots, Scatterplots, and Histograms

January 15, 2011
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sab-R-metrics: Beginning with Boxplots, Scatterplots, and Histograms

Today I decided to begin more with visualizations and less with basic statistical analysis for sabermetrics using R. I'm not really here to teach the ins and outs of regressions and statistical tests, so once I get there, I'm hoping that those who have read this already have a decent understanding of those subjects before implementing them. ...

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Warming in Paris: minimas versus maximas ?

January 14, 2011
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Warming in Paris: minimas versus maximas ?

Recently, I received comments (here and on Twitter) about my previous graphs on the temperature in Paris. I mentioned in a comment (there) that studying extremas (and more generally quantiles or interquantile evolution) is not the same as studying ...

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More climate extremes, or simply global warming ?

January 12, 2011
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More climate extremes, or simply global warming ?

In the paper on the heat wave in Paris (mentioned here) I discussed changes in the distribution of temperature (and autocorrelation of the time series). During the workshop on Statistical Methods for Meteorology and Climate Change today (here) I o...

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Two short Bayesian courses in South’pton

January 12, 2011
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Two short Bayesian courses in South’pton

An announcement for two short-courses on Introduction to  Bayesian Analysis and MCMC, and Hierarchical Modelling of Spatial and Temporal Data by Alan Gelfand (Duke University, USA) and Sujit Sahu (University of Southampton, UK), are to take place in Southampton on June 7-10, this year. Course 1: Introduction to Bayesian Analysis and MCMC. Date: June 7,

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The number 1 novice quant mistake

January 12, 2011
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The number 1 novice quant mistake

It is ever so easy to make blunders when doing quantitative finance.  Very popular with novices is to analyze prices rather than returns. Regression on the prices When you want returns, you should understand log returns versus simple returns. Here we will be randomly generating our “returns” (with R) and we will act as if … Continue reading...

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sab-R-metrics: Subsetting, Conditional Statements, ‘tapply()’, and VERY simple ‘for loops’

January 11, 2011
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In my last sab-R-metrics post, I went over some basics of calling data and creating vectors or new data from those. Here, I want to extend that to full subsets of data and go on to use some of the basic functions in R so that we can begin plotting in the next tutorial.Before I begin, I...

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