cimentadaj Goto Github PK

followers: 130.0 following: 14.0 repos: 97.0 gists: 74.0

Name: Jorge Cimentada

Type: User

Bio: Build AI tools freelancing. Previously @ryanair, @odigeoteam and @MPIDR

Location: Madrid

Blog: https://cognitivalabs.com

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

ess

Emacs Speaks Statistics: ESS

fertestr

fespain

This repository hosts the work for a paper exploring failed education in Spain using census data.

geocomputation-solutions

Solutions and notes on Geocomputation with R

haven

Read SPSS, Stata and SAS files from R

historical_tweets

Prototyping with building a dictionary of the concept of trust using historical twitter data

inequality_schools_replication

inequality_shinyapp

With this repository I created a Shinny app that looks at educational inequality across several countries.

inequalityintsvy

Economic inequality indicators for all available PISA waves (2000 to 2015 every three years)

info_to_read

intro-to-stats-learning

In this repository I will attempt to complete the exercises of the online course and book Introduction to Statistical Learning by Gareth James, Robert Tibshirani, and Trevor Hastie.