gadenbuie

App Install Plan

Critical

• iTerm2

  • https://iterm2.com/

• Command Line Tools

  • xcode-select –install

coulmont

# ajout des informations pour l'animation
# ---------------------------------------

library(gganimate)
library(broom)

dc <- bind_rows(dc_jour,dc_insee_jour,deces_ecdc,deces_insee_provisoires)
# on démarre du fichier dc utilisé pour le graphique surmortalité

brshallo

library(tidyverse)

# load in source_rmd()
devtools::source_gist("https://gist.github.com/noamross/a549ee50e8a4fd68b8b1")
#> Sourcing https://gist.githubusercontent.com/noamross/a549ee50e8a4fd68b8b1/raw/40960d8280438b7e2e8d6502f3c1d4ad348caeb6/source_rmd.R
#> SHA-1 hash of file is 624ae941e51dee522994e014928448170cedf1a3
# Also could have used solution here: 
# https://stackoverflow.com/questions/10966109/how-to-source-r-markdown-file-like-sourcemyfile-r

marcosci

library(LaCroixColoR)
library(sf)
library(fasterize)
library(rayshader)
library(raster)
library(exactextractr)
library(rayrender)

# load raster into R
elevation <- raster("Olympus_Mons_ortho-image.tif")

bbolker

## setup from  https://www.tjmahr.com/morgan-stanley-cursed-covid-plot/

library(tidyverse)
theme_set(theme_bw())
library(lme4)
library(ggeffects)
library(colorspace)
library(directlabels)

# a helper function to download the data from github