How does geom_smooth() make predictions
William Farr’s Data on Cholera in London, 1849 is used to digg into a linear model output and compared with that made by geom_smooth(method=‘lm’)
This is my blog section about Statistical Techniques in R.
Written by Federica Gazzelloni
William Farr’s Data on Cholera in London, 1849 is used to digg into a linear model output and compared with that made by geom_smooth(method=‘lm’)
The key to resolving Simpson’s Paradox is to recognise that the question “is men or women the best choise of the next managerial postion” is a causal one.
Looking at bayesian model comparisons
TidyModels vs Caret
summary of what is it and how to use it