KopackWare_Brooke_Markdown_Practice
2026-01-20
Web Colors
“Web colors are colors used in displaying web pages on the World Wide Web; they can be described by way of three methods: a color may be specified as an RGB triplet, in hexadecimal format (a hex triplet) or according to its common English name in some cases. A color tool or other graphics software is often used to generate color values. In some uses, hexadecimal color codes are specified with notation using a leading number sign” (Wikipedia)
Dataset
color=read.csv("color_srgb.csv")
head(color)## Name HEX RGB
## 1 White #FFFFFF rgb(100,100,100)
## 2 Silver #C0C0C0 rgb(75,75,75)
## 3 Gray #808080 rgb(50,50,50)
## 4 Black #000000 rgb(0,0,0)
## 5 Red #FF0000 rgb(100,0,0)
## 6 Maroon #800000 rgb(50,0,0)Common Color Hex Codes and RGB
Here you can see some common colors and their hexidecimal codes and RGB triplets.
library(knitr)
kable(color[1:16, ], caption = "Color Table." )| Name | HEX | RGB |
|---|---|---|
| White | #FFFFFF | rgb(100,100,100) |
| Silver | #C0C0C0 | rgb(75,75,75) |
| Gray | #808080 | rgb(50,50,50) |
| Black | #000000 | rgb(0,0,0) |
| Red | #FF0000 | rgb(100,0,0) |
| Maroon | #800000 | rgb(50,0,0) |
| Yellow | #FFFF00 | rgb(100,100,0) |
| Olive | #808000 | rgb(50,50,0) |
| Lime | #00FF00 | rgb(0,100,0) |
| Green | #008000 | rgb(0,50,0) |
| Aqua | #00FFFF | rgb(0,100,100) |
| Teal | #008080 | rgb(0,50,50) |
| Blue | #0000FF | rgb(0,0,100) |
| Navy | #000080 | rgb(0,0,50) |
| Fuchsia | #FF00FF | rgb(100,0,100) |
| Purple | #800080 | rgb(50,0,50) |
Color Wheel Example
This image shows the wide range of colors available for use in digital imaging in wheel format
My Favorite Colors
Some of my favorite colors and their HEX codes are:
Yellow (#f7fca9)
Blue (#70a7ff)
Green (#074703)
Pink (#f2bdde)
References
[Web colors - Wikipedia] (https://en.wikipedia.org/wiki/Web_colors)
Xie Y (2025). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.51, https://yihui.org/knitr/.
Yihui Xie (2015) Dynamic Documents with R and knitr. 2nd edition. Chapman and Hall/CRC. ISBN 978-1498716963
Yihui Xie (2014) knitr: A Comprehensive Tool for Reproducible Research in R. In Victoria Stodden, Friedrich Leisch and Roger D. Peng, editors, Implementing Reproducible Computational Research. Chapman and Hall/CRC. ISBN 978-1466561595