Welcome to Random Forest

ggplot2

visualizations

Welcome to my new blog, Random Forest.

Author

Published

October 28, 2018

Hello world!

This blog isn’t only about a random forest. I’ll write about machine learning in general, spatial analysis and data. I’ll focus on R language, primarily describing capabilities of its visualizations.

My blog consists of 3 sections:

trees: this section unites my blog posts
datahub: this is my collection of datasets, which covers sociological, spatial and economy data
root: here you can find some information about me

Code

require(ggplot2)
require(dplyr)

Warning: package 'dplyr' was built under R version 4.5.2

Code

df <- tibble(t = seq(0, 2 * pi, by = 0.01)) %>% mutate(
  x = 16 * sin(t)^3,
  y = 13 * cos(t) - 5 * cos(2 * t) - 2 * cos(3 * t) - cos(4 * t)
)

p <- ggplot(df, aes(x, y)) +
  geom_polygon(fill = "red", col = NA, alpha = 0.7) +
  theme_void()

p

Citation

BibTeX citation:

@online{kyrychenko2018,
  author = {Kyrychenko, Roman},
  title = {Welcome to {Random} {Forest}},
  date = {2018-10-28},
  url = {https://randomforest.run/posts/welcome},
  langid = {en}
}

For attribution, please cite this work as:

Kyrychenko, Roman. 2018. “Welcome to Random Forest.” October 28, 2018. https://randomforest.run/posts/welcome.