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statsandr.com | ||
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www.listendata.com
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| | | | | [AI summary] The user is seeking guidance on performing linear regression analysis in R, including data preparation, model building, and interpretation. They have questions about multicollinearity, variable selection, and package usage. The response should provide step-by-step instructions on installing necessary packages, conducting analysis, and addressing common issues. | |
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r-video-tutorial.blogspot.com
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| | | | | Power analysis is extremely important in statistics since it allows us to calculate how many chances we have of obtaining realistic result... | |
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www.seascapemodels.org
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| | | | | [AI summary] A technical blog post explains how to interpret the Akaike Information Criterion (AIC) by deriving the statistics in R, comparing model likelihoods, and selecting the most parsimonious hypothesis. | |
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www.r-statistics.com
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| | | Guest post by Jake Russ For a recent project I needed to make a simple sum calculation on a rather large data frame (0.8 GB, 4+ million rows, and ~80,000 groups). As an avid user of Hadley Wickham's packages, my first thought was to use plyr. However, the job took plyr roughly 13 hours to complete. plyr is extremely efficient | ||
