| Type: | Package |
| Title: | Datasets and Code Examples from P. J. Aphalo's "Learn R" Book |
| Version: | 2.0.1 |
| Date: | 2024-04-27 |
| Maintainer: | Pedro J. Aphalo <pedro.aphalo@helsinki.fi> |
| Description: | Data, scripts and code from chunks used as examples in the book "Learn R: As a Language" 1ed and 2ed by Pedro J. Aphalo. ISBN 9780367182533 (pbk 1ed); ISBN 9780367182557 (hbk 1ed); ISBN 9780429060342 (ebk 1ed). |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| LazyLoad: | yes |
| LazyData: | yes |
| ByteCompile: | yes |
| Depends: | R (≥ 4.0.0) |
| Suggests: | roxygen2 (≥ 7.3.0), knitr (≥ 1.46), devtools (≥ 2.4.5), rmarkdown (≥ 2.20) |
| URL: | https://docs.r4photobiology.info/learnrbook/, https://github.com/aphalo/learnrbook-pkg/ |
| BugReports: | https://github.com/aphalo/learnrbook-pkg/issues |
| Encoding: | UTF-8 |
| VignetteBuilder: | knitr |
| RoxygenNote: | 7.3.1 |
| NeedsCompilation: | no |
| Packaged: | 2024-04-28 09:37:08 UTC; aphalo |
| Author: | Pedro J. Aphalo 
[aut, cre] |
| Repository: | CRAN |
| Date/Publication: | 2024-04-28 11:40:02 UTC |
learnrbook: Datasets and Code Examples from P. J. Aphalo's "Learn R" Book
Description
Data, scripts and code from chunks used as examples in the book "Learn R: As a Language" 1ed and 2ed by Pedro J. Aphalo. ISBN 9780367182533 (pbk 1ed); ISBN 9780367182557 (hbk 1ed); ISBN 9780429060342 (ebk 1ed).
Details
Package 'learnr' is a companion to the books Aphalo, P. (2020). Learn R (1ed). New York: Chapman and Hall/CRC, ISBN 9780367182533" and Aphalo, P. (2023). Learn R (2ed). New York: Chapman and Hall/CRC, ISBN 9781032516998". This package supplies a list of all the packages used in the book. It also contains all the original data sets used in the book as well as code for scripts and code chunks included in the book. Please, consult the "User Guide" under vignettes for instructions.
Author(s)
Maintainer: Pedro J. Aphalo pedro.aphalo@helsinki.fi (ORCID)
See Also
Useful links:
Report bugs at https://github.com/aphalo/learnrbook-pkg/issues
Subset of RNAseq gene expression data
Description
A data set containing the results from the analysis of data from RNAseq. Subset of 1000 genes.
Usage
clean1000.df
Format
A data.frame with 5 columns and 1000 row names.
Details
The variables are as follows:
logFC (numeric)
logCPM (numeric)
LR (numeric)
Pvalue (numeric)
outcome (-1, 0, +1)
Note
A subset of size 1000 selected by random sampling,
References
Neha Rai et al. (2020) Plant Cell and Environment, https://doi.org/10.1111/pce.13752.
Subset of RNAseq gene expression data
Description
A data set containing the results from the analysis of data from RNAseq. Subset of 5000 genes.
Usage
clean5000.df
Format
A data.frame with 5 columns and 5000 row names.
Details
The variables are as follows:
logFC (numeric)
logCPM (numeric)
LR (numeric)
Pvalue (numeric)
outcome (-1, 0, +1)
Note
A subset of size 5000 selected by random sampling,
References
Neha Rai et al. (2020) Plant Cell and Environment, https://doi.org/10.1111/pce.13752.
Packages used in book "Learn R: As a Language" (1ed)
Description
Character vector of package names for the whole book.
Usage
pkgs_all_1ed
Format
A vector of character strings.
Examples
pkgs_all_1ed
Packages used in book "Learn R: As a Language" (2ed)
Description
Character vector of package names for the whole book.
Usage
pkgs_all_2ed
Format
A vector of character strings.
Examples
pkgs_all_2ed
Packages used in ch. 10 of book "Learn R: As a Language" (2ed)
Description
Character vector of package names for chapter 10 "Base R and Extensions: Data Sharing ".
Usage
pkgs_ch10_2ed
Format
A vector of character strings.
Examples
pkgs_ch10_2ed
Packages used in ch. 6 of book "Learn R: As a Language" (1ed)
Description
Character vector of package names for chapter 6 "New grammars of data".
Usage
pkgs_ch6_1ed
Format
A vector of character strings.
Examples
pkgs_ch6_1ed
Packages used in ch. 7 of book "Learn R: As a Language" (1ed)
Description
Character vector of package names for chapter 7 "Grammar of graphics".
Usage
pkgs_ch7_1ed
Format
A vector of character strings.
Examples
pkgs_ch7_1ed
Packages used in ch. 8 of book "Learn R: As a Language" (1ed)
Description
Character vector of package names for chapter 8 "Data import and export".
Usage
pkgs_ch8_1ed
Format
A vector of character strings.
Examples
pkgs_ch8_1ed
Packages used in ch. 8 of book "Learn R: As a Language" (2ed)
Description
Character vector of package names for chapter 8 "R Extensions: Data Wrangling".
Usage
pkgs_ch8_2ed
Format
A vector of character strings.
Examples
pkgs_ch8_2ed
Packages used in ch. 9 of book "Learn R: As a Language" (2ed)
Description
Character vector of package names for chapter 9 "R Extensions: Grammar of Graphics".
Usage
pkgs_ch9_2ed
Format
A vector of character strings.
Examples
pkgs_ch9_2ed
Wind direction and speed data
Description
A data set containing wind speed and direction measured in Viikki, Helsinki, Finland with a Vaisala Weather Transmitter WXT530 (sonic anemometer) during 2016-07-29 at 1 min interval.
Usage
viikki_d29.dat
Format
A tibble with 3 columns and 1440 rows.
Details
The variables are as follows:
solar_time (yyyy-mm-dd hh:mm:ss)
WindDir_D1_WVT (degrees)
WindSpd_S_WVT (m/s)
References
P. J. Aphalo, unpublished data.
Examples
names(viikki_d29.dat)
viikki_d29.dat
Weather data
Description
A data set containing weather data measured in Viikki, Helsinki, Finland. Values for all variables are means of 12 readings at 5 seconds intervals. Sun angles were computed with R package 'photobiology'.
Usage
weather_wk_25_2019.tb
Format
A tibble with 21 columns and 10080 rows.
Details
The variables are as follows:
time (yyyy-mm-dd hh:mm:ss)
PAR_umol (umol m-2 s-1)
PAR_diff_fr (/1)
global_watt (W m-2)
day_of_year
month_of_year
month_name
calendar_year
solar_time (h)
sun_elevation (degrees above horizon)
sun_azimuth (degrees)
was_sunny (T/F)
wind_speed (m s-1)
wind_direction (degrees)
air_temperature_C (C)
air_RH (
air_DP (C)
air_pressure
red_umol (umol m-2 s-1)
far_red_umol (umol m-2 s-1)
red_far_red (ratio)
References
P. J. Aphalo, unpublished data.
Examples
names(weather_wk_25_2019.tb)
weather_wk_25_2019.tb