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datosmzaustral's Introduction

Hi there 👋

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By day I am an assistant professor in the Kinesiology Department at the Universidad de Magallanes and a researcher in the Austral Chilean Integrative Molecular Neurophysiology group (NIM-ACh). By night an enthusiastic R programmer and web developer, with a taste for stochastic processes and bayesian modeling.

🔭 Research

I’m currently working on sports and exercise physiology research, focused on clinical contexts. You may see my work on ResearchGate, ORCID ORCID, or Google Scholar.

⚡ Software Development

Software development creating R packages for statistical computing, reproducible research and data science.

  • writR, for manuscript-ready statistical computing with assumptions being tested (primarily for group differences).
  • dtPipe, pipe-able functions for using with data.table objects.
  • labinstrumentos, processed data from the Instruments Laboratory of the Ministry of Science (Chile), as well as tools for analysis and visualisation.
  • rlockdown, allow users to protect their standalone html files in an easy manner with no server-side comunication.
  • mammals, tools for population dynamics analysis.
  • prices, helper functions for services prices estimation based on time-dependent work.
  • youngSwimmers, data-package with records used in the young elite swimmers study.

Contact

For contact purposes, I prefer to receive e-mails to [email protected]

datosmzaustral's People

Contributors

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Watchers

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datosmzaustral's Issues

Pendientes

  • Dar forma a base de datos github ANID
    • Descargar base de datos
    • Normalizar base
    • #2
  • Trabajar en lista de problemas, causas consecuencias (en excel)
    • Normalizar a mano problemas
    • Creación de corpus y pretratamiento de los textos
    • (A) Histograma de palabras repetidas (JPG o PDF)
    • (B) nube de palabras (JPG o PDF)
    • (C) Network con igraph (HTML)
    • (D) Crear diagrama sankey para instrumentos y problemas probando código R (https://n9.cl/7cjeq o bien https://n9.cl/if68q) (HTML)
      • Crear lista de norm_problema únicos (55) con su número correlativo, para poder identificarlo en las tablas
      • Crear matriz comparando clusterizaciones incuyendo totales de filas y columnas (queremos una lista de problemas que en las columnas me permita saber cuantos problemas tengo en cada cluster generado) (HTML)
      • Matriz de incidencia ubicando en eje X cluster manual, y en eje Y cada algoritmo de clusterización (4 matrices separadas en total) (HTML)
    • #3
      • Crear diagrama para problemas y causas
    • Normalizar a mano consecuencias
      • Crear diagrama para problemas, causas y consecuencias
  • Estandarizar fuentes de datos para realizar cruces entre región e instituciones
    • Cargar de forma unificada para normalizar región e institución
  • Unificar datos bibliométricos de WOS, SCOPUS y SCIELO
    • Cargar de forma unificada y normalizar instiuciones, adress, nombres
    • Unificar en formato WOS

Productos finales

  • (A) Histograma de palabras repetidas (JPG o PDF)
  • (B) nube de palabras (JPG o PDF)
  • (C) Network con igraph (HTML)
  • (D) Crear diagrama sankey para instrumentos y problemas probando código R (https://n9.cl/7cjeq o bien https://n9.cl/if68q) (HTML)
    • Crear lista de norm_problema únicos (55) con su número correlativo, para poder identificarlo en las tablas
    • Crear matriz comparando clusterizaciones incuyendo totales de filas y columnas (queremos una lista de problemas que en las columnas me permita saber cuantos problemas tengo en cada cluster generado) (HTML)
    • Matriz de incidencia ubicando en eje X cluster manual, y en eje Y cada algoritmo de clusterización (4 matrices separadas en total) (HTML)

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