Pakillo

https://github.com/rtyley/bfg-repo-cleaner

https://github.com/newren/git-filter-repo/

https://github.com/mpadge/dotfiles/blob/main/system/git-big-script.bash

Pakillo

Code: https://github.com/Aariq/website-quarto/blob/main/publications.qmd

Web page: https://ericrscott.com/publications

Pakillo

library(usethis)

create_package("templateRpackage")

## Use git & create repo on GitHub
use_git()
use_github(organisation = "EcologyR")


## Create README

Pakillo

# Install R latest version: https://cloud.r-project.org/

# Install RStudio latest version: https://www.rstudio.com/products/rstudio/download/#download

# Install R packages below:

install.packages("remotes")
install.packages("rmarkdown")
install.packages("rticles")
# remotes::install_github("Pakillo/rmdTemplates")  # optional

Pakillo

library(sf)
library(terra)

## Define area
coords <- data.frame(x = c(-5.5, -5.5, -5.3, -5.3),
                     y = c(36.7, 36.8, 36.7, 36.8))
coords.sf <- st_as_sf(coords, coords = c("x", "y"), crs = 4326)

## Download elevation data

Pakillo

# Install R latest version: https://cloud.r-project.org/
# For installing R on Linux, check out https://docs.rstudio.com/resources/install-r/
# Instructions: https://moderndive.netlify.app/1-getting-started.html

# Install RStudio latest version: https://www.rstudio.com/products/rstudio/download/#download

# Open RStudio and install some R packages using the code below:

install.packages(c(
  "tidyverse",

Pakillo

# Install R latest version: https://cloud.r-project.org/

# Install RStudio latest version: https://www.rstudio.com/products/rstudio/download/#download

# Install R packages below:

install.packages(c(
  "rmarkdown", 
  "knitr", 
  "dplyr", 

Pakillo

## Using {biscale} to plot bivariate raster maps

library(ggplot2)
library(biscale)
library(cowplot)
library(raster)
#> Loading required package: sp

Pakillo

# Install R latest version: https://cloud.r-project.org/

# Install RStudio latest version: https://www.rstudio.com/products/rstudio/download/#download

# Install R packages below:

install.packages("remotes")

install.packages("workflowr")
remotes::install_github("benmarwick/rrtools")

Pakillo

library(ggplot2)

t <- 1:100  # create time sequence

# warming trend, constant variance
clima <- data.frame(t = t,
                    temp = rnorm(100, 15 + 0.03*t, sd = 1))

# warming trend + increasing variance
clima <- data.frame(t = t,