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 marc-b-reynolds.github.io
A cheap normal distribution approximation
| | statsandr.com
Do my data follow a normal distribution? A note on the most widely used distribution and how to test for normality in R - Sta...
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| | This article explains in details what is the normal or Gaussian distribution, its importance in statistics and how to test if your data is normally distributed
| | gregorygundersen.com
Expectation of the Truncated Lognormal Distribution
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| | [AI summary] The blog post derives the expected value of a left-truncated lognormal distribution, explaining the mathematical derivation and validating it with Monte Carlo simulations.
| | www.randomservices.org
Continuous Distributions
4.5 parsecs away

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| | [AI summary] The text covers various topics in probability and statistics, including continuous distributions, empirical density functions, and data analysis. It discusses the uniform distribution, rejection sampling, and the construction of continuous distributions without probability density functions. The text also includes data analysis exercises involving empirical density functions for body weight, body length, and gender-specific body weight.
| | ggplot2.tidyverse.org
Construct aesthetic mappings - aes ggplot2
24.8 parsecs away

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| Aesthetic mappings describe how variables in the data are mapped to visual properties (aesthetics) of geoms. Aesthetic mappings can be set in ggplot() and in individual layers.