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cimentadaj

The goal of cimentadaj is to …

Installation

You can install the released version of cimentadaj from CRAN with:

install.packages("cimentadaj")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("cimentadaj/cimentadaj")

Example

This is a basic example which shows you how to solve a common problem:

library(cimentadaj)
## 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.

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!

Jorge Cimentada's Projects

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This package contains personal functions I find useful.

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A web API for querying the COVerAGE-DB: a global demographic database of COVID-19 cases and deaths.

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Test coverage reports for R

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DemoData SQL tools. Wrappers for the DemoTools package to work with UNPD SQL data format

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Tools for the evaluation, adjustment, and standardization of demographic data

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Data objects for DemoTools and friends, so that they don't get weighed down

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Tools for creating tuning parameter values

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An R package to translate social classes

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Dplyr: A grammar of data manipulation

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Creates the ideal (opinionated) project template for a data science project.

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A drop-in starter-kit for Emacs 24, aimed at social scientists researching and writing in plain text using some combination of LaTeX, R, ESS, Git, Markdown, and Org-Mode.

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