I'm Mauricio Vargas Sepúlveda, better known as Pachá

Validation of Local and Remote Data Tables

With Rich Iannone. Validate data in data frames, tibble objects, Spark DataFrames, and database tables (e.g., PostgreSQL and MySQL). Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions. Many other workflows are available including an information management workflow, where the aim is to record, collect, and generate useful information on data tables.

A Test Environment for Database Requests

With Jonathan Keane. Testing and documenting code that communicates with remote databases can be painful. Although the interaction with R is usually relatively simple (e.g. data(frames) passed to and from a database), because they rely on a separate service and the data there, testing them can be difficult to set up, unsustainable in a continuous integration environment, or impossible without replicating an entire production cluster. This package addresses that by allowing you to make recordings from your database interactions and then play them back while testing (or in other contexts) all without needing to spin up or have access to the database your code would typically connect to.

Economic Outlook for Chile

Imports data from mindicador.cl API in data frame or time series format. The goal is to ease using certain economic data with different R packages, having in mind journalists and professionals that require information displayed in a clear and concise way.

Importa datos de la API de mindicador.cl en formato de cuadro de datos o serie de tiempo. El objetivo es facilitar el uso de algunos datos económicos a periodistas y profesionales que requieren información desplegada de forma clara y concisa.

Maps of the Political and Administrative Divisions of Chile

With Ricardo Aravena (advisor). Terrestrial maps with simplified topologies. These maps lack geodesic precision, therefore DFL-83 1979 of the Republic of Chile applies and are considered to have no legal validity. Antartic territories are excluded and under no event these maps mean there is a cession or occupation of sovereign territories against International Laws from Chile. This package was intentionally documented in asciified spanish to make it work without problem on different platforms.

Mapas terrestres con topologías simplificadas. Estos mapas no tienen precision geodésica, por lo que aplica el DFL-83 de 1979 de la República de Chile y se consideran referenciales sin validez legal. No se incluyen los territorios antárticos y bajo ningún evento estos mapas significan que exista una cesión u ocupación de territorios soberanos en contra del Derecho Internacional por parte de Chile. Este paquete está documentado intencionalmente en castellano asciificado (sin acentos ni eñes) para que funcione sin problema en diferentes plataformas.

A Wrapper for the Highcharts Library

With Joshua Kunst and team. A wrapper for the Highcharts library including shortcut functions to plot R objects. Highcharts is a charting library offering numerous chart types with a simple configuration syntax.

Efficient Fitting of Linear and Generalized Linear Models

With Constanza Prado (advisor), Yoto Yotov (committee), and Alexey Kravchenko (committee). Efficient Fitting of Linear and Generalized Linear Models by using just base R. As an alternative to lm() and glm(), this package provides elm() and eglm(), with a significant speedup when the number of observations is larger than the number of parameters to estimate, as it reduces the NxP model matrix to a PxP matrix. The best computational performance is obtained when R is linked against OpenBLAS, Intel MKL or other optimized BLAS library. This implementation aims at being compatible with broom and sandwich packages for summary statistics and clustering by providing S3 methods.

Estimation Methods with Probabilistic Stratified Sampling in CASEN Survey

Functions to compute descriptive and inferential statistics with CASEN Survey (Socio-Economic Characterization Survey) complex design. Includes datasets to harmonize commune codes that change across years and allows to convert to official SUBDERE codes.

Funciones para realizar estadística descriptiva e inferencia con el diseño complejo de la Encuesta CASEN (Encuesta de Caracterización Socio-Económica). Incluye datasets que permiten armonizar los códigos de comunas que cambian entre años y permite convertir a los códigos oficiales de SUBDERE. Este paquete está documentado intencionalmente en castellano asciificado (sin acentos ni eñes) para que funcione sin problema en diferentes plataformas.

Estimation Methods for Gravity Models

A wrapper of different standard estimation methods for gravity models. This package provides estimation methods for log-log models and multiplicative models.

2017 Chilean Census Easy Access Database

Provides a Spanish translated version of the datasets from the R packages listed above: nycflights13, Lahman, forcats, fueleconomy, datasets, tidyr. These datasets were used to translate R4DS.

Provee una versión traducida de los conjuntos de datos de los siguientes paquetes de R: nycflights13, Lahman, forcats, fueleconomy, datasets, tidyr. Estos conjuntos de datos se usaron para traducir R4DS

Automate Package and Project Setup

Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, ‘GitHub’, licenses, ‘Rcpp’, ‘RStudio’ projects, and more.

Addition of the AGPL-3 licensing option, changes made in #870 and #919. It makes sense for Shiny apps to have the option to use AGPL-3 license, as it enforces that you contribute modifications back to the community. See more details on licensing on AGPL-3 vs GPL-3 on Stackoverflow and MongoDB Blog.

An API Generator for R

Gives the ability to automatically generate and serve an HTTP API from R functions using the annotations in the R documentation around your functions.

Addition of CSV serialization, changes made in #520. This change allows to serve CSV data and/or JSON data by using the same REST service. It was made in order to ease data extraction by physicians and people working in public health who use the API COVID-19 Chile.