Consorcio Interuniversitario de Galicia

Consorcio para o desenvolvemento de aplicacións de xestión universitaria de Galicia

CXG, 240046, RCommander
240046
1ra Edición
Statistical analysis with RCommander

Horas:

20 horas

Financiación:

Convenio Amtega

Destinatarios:

Persoal PAS, Persoal PDI

Prazas

PAS

PDI

10

PAS

10

PDI

PAS

5

PDI

5

Datas, Horarios e Sesións

Data Inicio

06/05/2024

Data Peche

07/06/2024

Tipos Formación

Formación Online

Datas e horarios

Non procede

Número Webinars

Enlace ao curso

Enlace non requirido ou non creado o curso na plataforma de formación.

Necesidades, prerrequisitos e inf. xeral

Necesidades a cubrir

To train participants in using the statistical language R through its graphical environment, RCommander.

Prerrequisitos

Basic knowledge of statistics and computer science

Carácter

Online training through the CIXUG Virtual Classroom: https://formar.cixug.es/

Medios necesarios

A computer with Internet access.

Datos persoal Formador e Titor

Persoal formador

Miguel Ángel Rodríguez Muíños

Empresa contratada

Miguel Ángel Rodríguez Muíños

Titor

CIXUG

Descrición

The statistical language R, with its graphical interface RCommander, is the software released under a free licence, a reference in statistical studies and a natural alternative to the different proprietary solutions for this type of study. The course includes installing RCommander to data management, creating graphs, or performing descriptive statistical analyses.

Competencias a desenvolver

  1. Performing descriptive statistics
  2. Data management
  3. Creating graphs
  4. Probability distributions
  5. Inference
  6. Simple linear regression

Metodoloxía

Each topic consists of a theoretical part, where the procedures for working with the different RCommander options are detailed. At the end of each topic, there is a self-assessment test. And at the end of the course, there is a final test.
The platform measures the connection time of each participant, a criterion that will be taken into account in the final evaluation:

  • Participation (at least 10 hours of connection time) - 10%.
  • Self-assessment tests per topic - 70%.
  • Final test - 20%.

Temario

  1. Getting started with R

  2. Installation

  3. Installing packages

    • Installing RCommander packages
  4. Using RCommander

    • RCommander menus
  5. Data handling

    • Recoding variables
    • Descriptive study of surgical infections
    • Recoding and filtering variables
  6. Creating graphs

  7. Descriptive statistics

  8. Probability distributions

  9. Inference

    • Confidence intervals
  10. Simple linear regression

    • Numerical diagnostics
  11. Added in RCommander

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