#remotes::install_cran(c("anglr", "silicate"))
library(silicate)
library(anglr)
library(rgl)
## volcano is heightmap, doesn't exist in geo-space in R so we map it do the extent of
## these spatial polygons
poly <- silicate::minimal_mesh
# xmin : 0
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# There is some explanation for why the bitwise operator functions do what they do here: | |
# https://inventwithpython.com/blog/2021/08/02/algorithmic-art-with-the-bitfielddraw-module/ | |
# ignore the warnings, THIS IS ART! | |
library(ggplot2) | |
cols <- c("#b8e1c5", "#3ac9fb", "#fadacc","#fcb2c6", | |
"#002f88", "#fd7a5d","#00B850", "#091a22") |
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##___________________________________________________ | |
## | |
## Script name: render_pointcloud.R | |
## | |
## Purpose of script: | |
## render forest plot pointcloud with raytracing | |
## | |
## Author: Jens Wiesehahn | |
## Copyright (c) Jens Wiesehahn, 2023 | |
## Email: [email protected] |
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# remotes::install_github("coolbutuseless/eventloop") | |
Pong <- R6::R6Class( | |
"pong", | |
public = list( | |
initialize = function(width=10, height=7, speed=0.02) { | |
require(grid) | |
private$width <- width | |
private$height <- height |
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listframe <- function(...){ | |
structure( | |
tibble(...), | |
class = c("listframe","tbl_df","tbl","data.frame") | |
) | |
} | |
lf <- listframe( | |
a = list(1,c("a","b","c"),matrix(1:4,2,2)), |
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require(ggplot2) | |
ggplot() + annotate(x = -10, y=1, xend = -1.38, yend=3, geom='segment', col='white') + | |
geom_segment(data = data.frame(x = -1.38, y = seq(3.0, 3.0, len=30), | |
xend = seq(1.4, 1.1, len=30), yend = seq(3.0, 3.5, len=30)), | |
aes(x, y, xend=xend, yend=yend), col='#ffffff10') + | |
geom_segment(data = data.frame(id=1:30, x = seq(1.1, 1.35, len=30), y = seq(3.5, 3.0, len=30), | |
xend = seq(10, 10, len=30), yend = seq(2.0, 1.0, len=30)), | |
aes(x, y, xend = xend, yend = yend, col = factor(id))) + | |
geom_path(data=NULL, aes(c(-3, 0, 3, -3), y = c(0,5.5,0,0)), col='white') + |
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df <- as.data.frame(installed.packages(fields = c("RemoteType", "Repository"))) | |
to_reinstall <- df[df$Repository %in% "CRAN", "Package"] | |
install.packages(to_reinstall) |