Package: prova 1.0.0

Before we start | Penguins | "Population"? | Sampling | How to use the sample data | A first, preliminary analysis | Metadata preparation | Why does Prova need metadata? | "Learning" and extrapolating from the sample data | Analysis example: frequencies of species | Estimating relative frequencies | Uncertainty of estimates: credibility intervals and probabilities | Imputation of missing data | Analysis example: frequencies on different islands | A preliminary report on question Q1 | What if we're interested in more than one variate? | Estimating frequencies of species, island-wise | A preliminary report on question Q2 | Differences from "null-hypothesis testing" and p-value methods | What if we're interested in combinations of subpopulations? | More samples | Updating what we've learnt | Updates in analysis and hypotheses | Updates in island-wise conditional frequencies | For Dream island | For Biscoe island: a surprising result | Final inferences | When the sampling is finished | Final results on overall species frequencies | Statistical differences in subpopulations | Q2a: species on Biscoe | Q2b: Adélie on three islands | Q2c: Body mass across the three species | Appendices | References and further reading | On exchangeability: | On Bayesian theory in general: | On medical decision-making: | Format for data and metadata files and their contents | Typical use of the learn() function

Probabilities and associations | Generating and plotting new samples | Setup | Generating new samples | Example with a continuous and a discrete variate | Samples and plots for different subpopulations | Quantifying associations and correlations: mutual information | Pearson correlation coefficient and its limitations | Mutual information | Understanding mutual-information values | Mutual information for previous examples | Island and species | Body mass and species | Body mass and bill length | Mutual information within subgroups | Appendices | References