Del Ponte, E.M. Sparks, A.H. (2018). Open ideas, data and code sharing: epidemiologists should be in front!. Proceedings of the 12th International Epidemiology Workshop
The abstract can be found in https://github.com/openplantpathology/OPP.at.IEW12/tree/master/inst/abstract.
The slides of the presentation were prepared in Google Slides and can be found here.
The code used to generate graphs that were presented at IEW12 can be found in the articles.
The data are from https://openplantpathology.github.io/Reproducibility_in_Plant_Pathology/.
Sparks, A.H., Del Ponte, E.M., Everhart, S., Foster, Z.S.L., and Grünwald, N. (2018). Compendium of R code and data for ‘Status and Best Practices for Reproducible Research In Plant Pathology’. Accessed 02 Jun 2018. Online at https://doi.org/10.5281/zenodo.1250665
Install hrbrthemes
, which provides the theme for the ggplot2
graphs
and loads the fonts.
Install the package and load it. Upon loading it follow the directions for installing and loading Roboto Condensed fonts.
install.packages("hrbrthemes", dep = TRUE)
library(hrbrthemes)
Take note of these instructions and execute them and then install the font, Roboto Condensed on your computer as directed.
Please use hrbrthemes::import_roboto_condensed() to install Roboto Condensed
See https://support.apple.com/en-us/HT201749
See https://support.microsoft.com/en-us/help/314960/how-to-install-or-remove-a-font-in-windows
Now install the package using devtools and then use browseVignettes
to
see the HTML version, the raw Rmd file and only the R code of the
vignette locally.
if (!require(devtools)) {
install.packages("devtools")
library(devtools)
}
devtools::install_github("openplantpathology/OPP.at.IEW12",
build_vignettes = TRUE,
dependencies = TRUE)
browseVignettes("OPP.at.IEW12")
Please cite this compendium as:
EM Del Ponte, AH Sparks, (2018). Compendium of R code and data for ‘Open ideas, data and code sharing: epidemiologists should be in front!’. Accessed 04 Jul 2018. Online at https://doi.org/10.5281/zenodo.1286101
You can download the compendium as a zip from from this URL: https://github.com/openplantpathology/OPP.at.IEW12/archive/master.zip
Or you can install this compendium as an R package, OPP.at.IEW12, from GitHub with:
devtools::install_github("openplantpathology/OPP.at.IEW12")
Text and figures : CC-BY-4.0
Code : See the DESCRIPTION file
Data : CC-0 attribution requested in reuse
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