The goal of packpop2 is to analyze information about population based on number of families, owners, tenants and residential units of all blocks in Mashhad, Iran. This data set reveals information helpful in aspect of population studies such as urban population density.
By clicking on here you can have access to the vignettes.
You can install the development version of packpop2 like so:
knitr::opts_chunk$set(message = FALSE)
if(!require(remotes)){
install.packages("remotes")
library(remotes)
}
remotes::install_github("NiloofarNL/packpop2")
#> checking for file 'C:\Users\bahman.notebook\AppData\Local\Temp\RtmpgrzrqH\remotes1ba04f8e3e1b\NiloofarNL-packpop2-ca64aa5/DESCRIPTION' ... checking for file 'C:\Users\bahman.notebook\AppData\Local\Temp\RtmpgrzrqH\remotes1ba04f8e3e1b\NiloofarNL-packpop2-ca64aa5/DESCRIPTION' ... v checking for file 'C:\Users\bahman.notebook\AppData\Local\Temp\RtmpgrzrqH\remotes1ba04f8e3e1b\NiloofarNL-packpop2-ca64aa5/DESCRIPTION' (459ms)
#> - preparing 'packpop2': (508ms)
#> checking DESCRIPTION meta-information ... checking DESCRIPTION meta-information ... v checking DESCRIPTION meta-information
#> - checking for LF line-endings in source and make files and shell scripts
#> - checking for empty or unneeded directories
#> Removed empty directory Removed empty directory 'packpop2/vignettes'
#> - building 'packpop2_0.0.0.9000.tar.gz'
#>
#>
This is a basic example which shows you how to solve a common problem:
library(packpop2)
library(ggplot2)
## basic example code
What is special about using README.Rmd
instead of just README.md
?
You can include R chunks like so:
summary(cars)
#> speed dist
#> Min. : 4.0 Min. : 2.00
#> 1st Qu.:12.0 1st Qu.: 26.00
#> Median :15.0 Median : 36.00
#> Mean :15.4 Mean : 42.98
#> 3rd Qu.:19.0 3rd Qu.: 56.00
#> Max. :25.0 Max. :120.00
You’ll still need to render README.Rmd
regularly, to keep README.md
up-to-date. devtools::build_readme()
is handy for this. You could also
use GitHub Actions to re-render README.Rmd
every time you push. An
example workflow can be found here:
https://github.com/r-lib/actions/tree/v1/examples.
You can also embed plots, for example:
In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.