There are no specific requirements needed to attend this course.
Organization – Lab work and practical examples on real data
Day One
-
Introduction to R & Rstudio (2 hours)
- Making R more friendly, R and available GUIs
- Rstudio
- Scripting in Rstudio
- Navigation, sections and code folding
- Troubleshooting and code debugging in RStudio
- Related software and documentation
- Getting help with functions and features
- Projects in RStudio
- Creating analytical reports with RStudio
- Keyboard shortcuts and useful features
-
Importing/Exporting data (1 hour)
- Flat files – txt, csv
- Spredsheet files – xls, xlsx
- SPSS, SAS and other formats data
- Accessing data from SQL data sources
- SQL database connectivity and operations
-
Organising data (2 hours)
- Data types and classes
- Data storage in R – Rdata format
- Objects structure
- Numbers and vectors
- Matrix and table
- Factors
- Lists
- Data Frames
- Date and time
-
Tabular representation (3 hours)
- Overview of packages for data tables – dplyr, tidyr, data.table
- Indexes and subscripts
- Selecting, subsetting observations and variables
- Filtering, grouping
- Recoding transformations
- Reshaping data
- Merging data
- Character manipulation, stringr package
- Regular expressions
Day Two
-
Related software and documentation (1 hour)
- Rstudio and GIT - versioning
- Markdown
- Reports and presentations with LaTeX
- Shiny web applications
-
R and Statistics (2 hours)
- Probability and Normal Distribution
- Random numbers
- Descriptive Statistics
- Standarization and Normalization
- Confidence Intervals
- Hypothesis Testing
- ANOVA
- Qualitative data analysis
-
Linear regression (2 hours)
- Correlation coefficient and interpretation
- Simple and multiple linear regression
- Estimation methods – Least squares
- Model validation – tests for violation of assumptions
- Selecting variables – different approaches
- Regulatizations – ridge and lasso regression
- Generalized least square – nonlinearity
- Logistic regression
-
Graphical procedures (2 hours)
- Basic plots for 1 variable
- Visualizations for 2 and more variables
- Graphical parameters
- Special plots
- Exporting plots to png, pdf and jpeg files
- Extending graphical capabilities of R with ggplot2
-
Help in R (1 hour)
- Searching through documentation of R
- R packages and documentation
- R Cran Task View – search for problem solution
United Arab Emirates - R for Statistical Analysis
Qatar - R for Statistical Analysis
Egypt - R for Statistical Analysis
Saudi Arabia - R for Statistical Analysis
South Africa - R for Statistical Analysis
Brasil - R for Statistical Analysis
Canada - R for Statistical Analysis
中国 - R for Statistical Analysis
香港 - R for Statistical Analysis
澳門 - R for Statistical Analysis
台灣 - R for Statistical Analysis
USA - R for Statistical Analysis
Österreich - R for Statistical Analysis
Schweiz - R for Statistical Analysis
Deutschland - R for Statistical Analysis
Czech Republic - R for Statistical Analysis
Denmark - R for Statistical Analysis
Estonia - R for Statistical Analysis
Finland - R for Statistical Analysis
Greece - R for Statistical Analysis
Magyarország - R for Statistical Analysis
Ireland - R for Statistical Analysis
Luxembourg - R for Statistical Analysis
Latvia - R for Statistical Analysis
España - R para el Análisis Estadístico
Italia - R for Statistical Analysis
Lithuania - R for Statistical Analysis
Nederland - R for Statistical Analysis
Norway - R for Statistical Analysis
Portugal - R for Statistical Analysis
România - R for Statistical Analysis
Sverige - R for Statistical Analysis
Türkiye - R for Statistical Analysis
Malta - R for Statistical Analysis
Belgique - R for Statistical Analysis
France - R for Statistical Analysis
日本 - R for Statistical Analysis
Australia - R for Statistical Analysis
Malaysia - R for Statistical Analysis
New Zealand - R for Statistical Analysis
Philippines - R for Statistical Analysis
Singapore - R for Statistical Analysis
Thailand - R for Statistical Analysis
Vietnam - R for Statistical Analysis
India - R for Statistical Analysis
Argentina - R para el Análisis Estadístico
Chile - R para el Análisis Estadístico
Costa Rica - R para el Análisis Estadístico
Ecuador - R para el Análisis Estadístico
Guatemala - R para el Análisis Estadístico
Colombia - R para el Análisis Estadístico
México - R para el Análisis Estadístico
Panama - R para el Análisis Estadístico
Peru - R para el Análisis Estadístico
Uruguay - R para el Análisis Estadístico
Venezuela - R para el Análisis Estadístico
Polska - R for Statistical Analysis
United Kingdom - R for Statistical Analysis
South Korea - R for Statistical Analysis
Pakistan - R for Statistical Analysis
Sri Lanka - R for Statistical Analysis
Bulgaria - R for Statistical Analysis
Bolivia - R para el Análisis Estadístico
Indonesia - R for Statistical Analysis
Kazakhstan - R for Statistical Analysis
Moldova - R for Statistical Analysis
Morocco - R for Statistical Analysis
Tunisia - R for Statistical Analysis
Kuwait - R for Statistical Analysis
Oman - R for Statistical Analysis
Slovakia - R for Statistical Analysis
Kenya - R for Statistical Analysis
Nigeria - R for Statistical Analysis
Botswana - R for Statistical Analysis
Slovenia - R for Statistical Analysis
Croatia - R for Statistical Analysis
Serbia - R for Statistical Analysis
Bhutan - R for Statistical Analysis