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easystats.github.io
| | aosmith.rbind.io
2.2 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.
| | www.seascapemodels.org
2.2 parsecs away

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| | [AI summary] A tutorial explaining the basics of General Linear Models using statistical concepts like linear equations, R programming simulations, and assumption checking for biological sciences.
| | indrajeetpatil.github.io
3.2 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...
| | freerangestats.info
21.3 parsecs away

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| The success rate (proportion of times the true value is covered by the interval) of 95% confidence intervals from the bootstrap when estimating population standard deviation can be very poor for complex mixed distributions, such as real world weekly income from a modest sample size (<20,000).