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Source files for "Learning Statistics with R"
https://learningstatisticswithr.com
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In text aspirations: "Future versions of this book will..." #13

Open Lingtax opened 5 years ago

Lingtax commented 5 years ago

Section 4: "Finally, there are a number of packages that provide more advanced tools that I hope to talk about in future versions of the book, such as sem, ez, nlme and lme4. In any case, whenever I’m using a function that isn’t in the core packages, I’ll make sure to note this in the text."

Section 6: "In a future version of this book, I intend to finish this chapter off by talking about what makes a good or a bad graph, but I haven’t yet had the time to write that section."

Section 7.7: " In future versions of the book I plan to expand this discussion to include some of the more powerful tools that are available in R, but I haven’t had the time to do so yet." (on reshaping) "In a future version of this book I intend to discuss melt() and cast() in a fair amount of detail."

Footnote of Section 10: "I am planning to add a bit more functionality to ciMean()"

Section 11.8: "...probably a future version of this book would include a more detailed discussion of power analysis, but for now this is about as much as I’m comfortable saying about the topic."

Section 15.9.4: "Variable transformation is another topic that deserves a fairly detailed treatment, but (again) due to deadline constraints, it will have to wait until a future version of this book."

ekothe commented 5 years ago

Section 1.4: "In fact, one of the biggest things that a knowledge of statistics does to you is cause you to get angry at the newspaper or the internet on a far more frequent basis: you can find a good example of this in Section 5.1.5. In later versions of this book I’ll try to include more anecdotes along those lines."

Section 14.12: "There is a way of doing this, known as repeated measures ANOVA, which will appear in a later version of this book."

Footnote of Section 14.2: "In a later versions I’m intending to expand on this. But because I’m writing in a rush, and am already over my deadlines, I’ll just briefly note that if you read ahead to Chapter 16 and look at how the “treatment effect” at level k of a factor is defined in terms of the $alpha$ k values (see Section 16.2), it turns out that Q refers to a weighted mean of the squared treatment effects"

Section 14.6: "I don’t currently talk about repeated measures ANOVA in this book, but it will be included in later versions."

Section 14.6.1: "One question that people often want to know the answer to is the extent to which you can trust the results of an ANOVA if the assumptions are violated. Or, to use the technical language, how robust is ANOVA to violations of the assumptions. Due to deadline constraints I don’t have the time to discuss this topic. This is a topic I’ll cover in some detail in a later version of the book."

Footnote in Section 15.9.2: "An alternative is to run a “robust regression”; I’ll discuss robust regression in a later version of this book."

Section 16.9: " In a later version of this book, I would like to talk a lot more about planned comparisons."

Section 18.1 This whole section covers content missing or that should be expanded.

Lingtax commented 5 years ago

This issue probably should be split into a set of smaller independent ones, then these can be assigned to minimise the risks of overlap.