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The failing example commented out seems to be caused by a bug in 'tidync'.
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aphalo committed Jan 9, 2025
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online-data/logger_1.txt

submission-2nd-ed/LaTeX/

Aphalo2024-Learn-R-book-2ed-preprint.pdf
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Expand Up @@ -886,9 +886,11 @@ Function \Rfunction{hyper\_tibble()} extracts a subset of the data into a tibble
<<tidync-02>>=
hyper_tibble(meteo_data.tnc,
lon = signif(lon, 1) == 9,
lat = signif(lat, 2) == 87) |>
mutate(.data = _, month = month(ymd("1800-01-01") + days(time))) |>
select(.data = _, -time)
lat = signif(lat, 2) == 87)
# 'tidync' (== 0.4.0) fails to include variable time in the tibble
# |>
# mutate(.data = _, month = month(ymd("1800-01-01") + days(time))) |>
# select(.data = _, -time)
@

In this second example, data are extracted for all grid points along latitudes by omitting the test for \code{lat} from the chunk above. The tibble is assembled automatically and columns for the active dimensions added. The decoding of the months remains the same as above.
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Expand Up @@ -6,18 +6,44 @@ This repository contains the LaTeX source of the book titled [_Learn R: As a Lan

### Reuse

This is Copyrighted material by CRC/Taylor & Francis, 2020 and 2024. Made available on-line in good faith as allowed by my contract with the publisher, but with all republication and reuse rights reserved by the publisher and/or myself. You can study the code and contribute edits, which will be acknowleged. Please be aware, that you are not allowed to redistribute any files or make any forks public or to remove this copyright note from private forks, or create a derived version of the text. In case of doubt, the copyright notice on the published book prevails. However, you are welcome to share the link to this repository. Contact CRC/Taylor & Francis for permission requests.

In contrast to the text, the R code in the chunks, and all files used in examples, data and R scripts are available under GPL >= 2.0.0 as part of R Package 'learnrbook' both through CRAN and the R-Universe, and also in a separate repository here at GitHub: [https://github.com/aphalo/learnrbook-pkg](https://github.com/aphalo/learnrbook-pkg). These can be reused as allowed by the GPL.
This is Copyrighted material (c) 2020 and 2024 Pedro J. Aphalo, in print by
CRC/Taylor & Francis. Made available on-line in good faith as allowed by my
contract with the publisher, but with all republication and reuse rights
reserved by the publisher and/or myself. You can study the code and contribute
edits, which will be acknowleged. Please be aware, that you are not allowed to
redistribute any files or make any forks public or to remove this copyright note
from private forks, or create a derived version of the text. In case of doubt,
the copyright notice on the published book prevails. However, you are welcome to
share the link to this repository. Contact CRC/Taylor & Francis for permission
requests.

In contrast to the text, the R code in the chunks, and all files used in
examples, data and R scripts are available under GPL >= 2.0.0 as part of R
Package 'learnrbook' both through CRAN and the R-Universe, and also in a
separate repository here at GitHub:
[https://github.com/aphalo/learnrbook-pkg](https://github.com/aphalo/learnrbook-pkg).
These can be reused as allowed by the GPL.

### Building the PDF

Building the PDF requires knitr, XeLaTeX, LaTeX packages available at CTAN, the Lucida fonts as distributed by TUG, several R packages, and to diasble evaluation of the code in one section of Chapter 10 that connects via USB to a YoctoPuce sensor and logger module. The code is known to work with MikTeX but other distributions should also work.
Building the PDF requires knitr, XeLaTeX, LaTeX packages available at CTAN, the
Lucida fonts as distributed by TUG, several R packages, and to disable
evaluation of the code in one section of Chapter 10 that connects via USB to a
YoctoPuce sensor and logger module. The book is known to build with MikTeX but
other distributions should also work. I re-build the PDF file every few months
with the current version of R, R-packages, MikTeX, LaTeX and LaTeX packages. If
you encounter any problems, please, raise an issue at GitHub, as suggested
below, or contact the author by e-mail.

### Contribution guidelines ###

You are welcome to contribute pull requests and also to report errors and propose enhancements by opeining an issue.
You are welcome to contribute pull requests and also to report errors and
propose enhancements by opening an issue. Contributions and error reports
will be acknowledged in the next edition.

### Who can I talk to? ###

### Who do I talk to? ###
* Pedro J. Aphalo
* e-mail: [email protected]
* Mastodon: @aphalo

* Pedro J. Aphalo [email protected]
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