#statstab #455 False Discovery Rate (FDR) and q-values

Thoughts: The q-value of a test is the expected proportion of false positives among all hypotheses with p-values as small or smaller than that test.

#pvalues #qvalues #FDR #FWER #error

https://www.nonlinear.com/support/progenesis/comet/faq/v2.0/pq-values.aspx

#statstab #454 A very ggplot2 Christmas

Thoughts: Tis the festive season. 🎄

#ggplot #rstats #xmas #xmastree

https://t-redactyl.io/blog/2016/12/a-very-ggplot2-christmas.html

#statstab #453 Gradient plots {ggdist}

Thoughts: Like these as an alternative to half eye plots.

#bayesian #dataviz #plots #figures #rstats #r #tidybayes #ggdist

https://mjskay.github.io/ggdist/articles/slabinterval.html?q=gradientinterval

#statstab #452 Plotting Distributions in R

Thoughts: A small shiny app for plotting Distributions. Useful.

#rstats #shiny #dataviz #probability #distributions #r #normal #quantiles

https://bryer.org/posts/2025-09-30-distributions.html

#statstab #451 Log-normal Distribution – A simple explanation

Thoughts: A simple and useful source for the log-normal distribution, which has many uses (as I will show in 2026 🤫)

#lognormal #distribution #exponentional #guide #pedagogy

https://towardsdatascience.com/log-normal-distribution-a-simple-explanation-7605864fb67c/

#statstab #450 Kendall's Tau {video}

Thoughts: understanding nonparametric correlations can be difficult. This video is quite ok at explaining it.

#kendall #tau #correlation #nonoarametric #ranking #rank

https://numiqo.com/tutorial/kendalls-tau

#statstab #479 Uncertainty limits the use of power analysis

Thoughts: Frequentists avoiding uncertainty is never good.

#poweranalysis #error #uncertainty #simulation #cohend #effectsize

https://www.researchgate.net/publication/361158443_Uncertainty_limits_the_use_of_power_analysis

#statstab #478 Stuck between Zero and One: Modelling Non-Count Proportions with Beta and Dirichlet Regression

Thoughts: A few resources for proportion data.

#Dirichlet #proportions #betareg #count #tutorial

https://methodsblog.com/2019/08/06/beta-dirichlet-regression_en/

#statstab #477 Simulating data for Dirichlet regression with varying estimates

Thoughts: Interesting thread about an underused model.

#Dirichlet #brms #poweranalysis #rstats #proportions #stan #forum

https://discourse.mc-stan.org/t/simulating-data-for-dirichlet-regression-with-varying-estimates/35325

#statstab #476 In linear regression, when is it appropriate to use the log of an independent variable instead of the actual values?

Thoughts: Great thread explaining the (few) instances when log transforming makes sense

#logarithm #transformation #data

https://stats.stackexchange.com/questions/298/in-linear-regression-when-is-it-appropriate-to-use-the-log-of-an-independent-va/3530#3530