An Introduction to NAPdown
1
Getting started
1.1
Prerequisites
1.1.1
Installing R
1.1.2
Install RStudio
1.1.3
Signing up on GitHub
1.2
Opening a markdown file
1.2.1
Rstudio windows explained:
1.3
Installing packages
1.3.1
Removing/un-installing packages
1.4
Loading Libraries
2
RMarkdown
2.1
About RMarkdown
2.2
Editing in markdown
2.2.1
Headers
2.2.2
Bold and italic text
2.2.3
Create Lists
2.2.4
Manual line breaks
2.2.5
Insert links
2.2.6
Insert figures/images
2.2.7
Insert block quotes
2.2.8
Insert code chunks
2.2.9
Create tables
2.2.10
Page breaks
2.2.11
Process a markdown document to desired output
2.2.12
References
2.2.13
Pandoc & Knitr
3
NAPdown
3.1
Setting up an eNAP
3.2
Integrating code evaluations within your text/ chapters
3.2.1
Some things to note
3.3
Some Troubleshooting
4
GitHub & GitHub Pages
4.1
Sharing Repositories on GitHub
4.1.1
Via GitHub Desktop
4.1.2
Via direct file upload
4.1.3
Via Git Bash
4.2
Publishing to GitHub pages
5
Working Excel data
5.1
Prep
5.1.1
Install packages
5.1.2
Call libraries for the installed packages
5.1.3
Import excel table from local drive
5.2
Build Tables
5.2.1
Static table
5.2.2
Interactive table
5.3
Generate Other Graphics
5.3.1
A bar chart
5.3.2
A donut chart
5.4
Filter and plot select data
5.4.1
Pie chart
5.4.2
Build Treemap
6
Working Climate data
6.1
Historical climate data
6.1.1
Install Packages and load libraries
6.1.2
Load data from cru website
6.1.3
Load/define geometry
6.1.4
Load/Import your data into r
6.1.5
Convert the raster stack created above into a dataframe and format date values
6.1.6
Plot Monthly data
6.1.7
Plot Annual data
7
Further Reads
References
Published with bookdown
An introduction to NAPdown
References
Xie, Yihui. 2015.
Dynamic Documents with
R
and Knitr
. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC.
http://yihui.org/knitr/
.