Handbook on photobiological calculations with R

Book coverA handbook on how to do calculations used in photobiological research with R has been under preparation for a long time. An  80% complete version has been available through LeanPub for several years. The book describes the use of our suite of R packages and also of functions from base R and a few other packages available through CRAN. I (Pedro J. Aphalo) am the lead author, while Andreas Albert, T. Matthew Robson and Titta Kotilainen have contributed text and examples and feedback.

Although we haven’t had time to finish writing the book, I have been checking that the code examples work with current versions of R and packages. Rather recently I made small edits to a few code chunks that had stopped working and uploaded the new version of the PDF file to LeanPub.

Some minutes ago I tried to build all examples with R 4.2.o, a major update to R released some days ago. R 4.2.o contains a bug, that unluckily prevents a couple some examples in the book from running under MS-Windows. The already available patched version of R 4.2.0 solves this problem. Anyway, this bug affects only a very specific use related to data acquisition.

The book is sold for the amount the buyer wishes to pay, including getting it for free.

learnrbook 1.0.2

Package documentation web site at: https://docs.r4photobiology.info/learnrbook/

This is the second version submitted to CRAN for the book as published in the R Series.

This update adds .R files with the code from all chunks in the book, including a few not visible. There are some small edits to the documentation.

NOTE: The updated package is on its way to CRAN.

Please raise issues concerning bugs or enhancements to this package through Bitbucket https://github.com/aphalo/learnrbook-pkg/issues

 

learnrbook 1.0.1

Package documentation web site at: https://docs.r4photobiology.info/learnrbook/

This is the first version submitted to CRAN for the book as published in the R Series.

Versions starting from 1.0.0 are for the book as published in the R Series. Earlier versions were for various partial drafts of the book, as pre-published through LeanPub. The book was published a few of weeks ago, but shipping has started in the last few days.

NOTE: The updated package is on its way to CRAN.

Please raise issues concerning bugs or enhancements to this package through Bitbucket https://bitbucket.org/aphalo/learnrbook-pkg/issues

Word cloud figure from LaTeX index entries

I created the word cloud on the cover of “Learn R as a Language” using an R script that takes as input the file for the book index, as generated when creating the PDF from the LaTeX source files. This input file contained quite a lot of additional information, like font changes and page numbers that needed to be stripped into a clean list of words. Only later I realized that it would have been easier to produce a cleaner word list to start with. So, I first present the code revised to work with a simpler word list. This is actually tested with the book files to work. If you want to do something similar for your own book, follow the revised code in first section below. If you want to see the “hacked-up” code I really used for the cover as included in the book, it is in the second section below.

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Learn R: As a Language

Image of the book cover

ISBN 9780367182533

My book on R was published on 28 July 2020. The R package ‘learnrbook’ available through CRAN contains data and the R code scripts and chunks from the book. The book has now its own website.

In the book’s website you will find free supplementary chapters as downloadable PDF files and other material complementing the book.

[2022-06-24] Last week I started updating the book manuscript for a 2nd printing/edition. For the time being I have been adding several diagrams and flow charts, expanding the text to improve clarity and fixing all typos in text and code that I am aware of. I am also addressing the new features in R 4.2.0 and changes to the packages used in the examples. Please, do share with me anything you would like changed from the current edition and report any mistakes you may have found. All useful contributions will be acknowledged. Thanks in advance!

[2022-08-14] You may think that learning the ‘tidyverse’ could be enough. My experience tells it is not, and that a good understanding of the R language keeps one out of trouble even when using the ‘tidyverse’. I came accross an old post by Joel Spolsky that explains why this is the case in general: higher levels of abstractions “leak”, abstractions are imperfect, and the underlying complexity seeps through. With respect to R and the ‘tidyverse’, the evolving paper on Teaching R in a Kinder, Gentler, More Effective Manner by Norm Matloff is very clear about this.

[2022-08-24] The book has been listed as a “2021 CHOICE Outstanding Academic Title Award Winner” which makes me very happy and encourages my work on a 2nd edition.

Book and package: Learn R …as you learnt your mother tongue

Book cover

Book cover

Book draft of 2017-05-14 and ‘learnrbook’ package 0.0.2.

My book titled Learn R …as you learnt your mother tongue is gradually approaching completion, but the text is not yet polished. Today’s milestone is that the first version of the companion R package has been accepted for distribution through CRAN.

In the draft version I uploaded today, published as earlier ones through Leanpub, approximately 95% of the book content is included. Today’s version differs from earlier ones in that as now the original datasets and files used in examples are now in package ‘learnrbook’, the example code has been edited to make use of it. The package is since yesterday in CRAN. The updated version of the book also tracks improvements in version 0.2.15 of my package ‘ggpmisc’, which is since today in CRAN.

The PDF of this updated draft of the book is available at http://leanpub.com/learnr for whatever price you would like to pay for it (including for free). However, paying even as little as 1€ for your copy would go a long way towards supporting the expenses of running this web site.