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svmiller.com
| | indrajeetpatil.github.io
3.3 parsecs away

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| | Plot with the regression coefficients' point estimates as dots with confidence interval whiskers and other statistical details included as labels. Although the statistical models displayed in the plot may differ based on the class of models being investigated, there are few aspects of the plot that will be invariant across models: The dot-whisker plot contains a dot representing the estimate and their confidence intervals (95% is the default). The estimate can either be effect sizes (for tests that depend on the F-statistic) or regression coefficients (for tests with t-, chi^2-, and z-statistic), etc. The function will, by default, display a helpful x-axis label that should clear up what estimates are being displayed. The confidence intervals can sometimes b...
| | aosmith.rbind.io
3.8 parsecs away

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| | Where I discuss simulations, why I love them, and get started on a simulation series with a simple two-group linear model simulation.
| | post8000.svmiller.com
0.9 parsecs away

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| | www.seascapemodels.org
20.8 parsecs away

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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.