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コース概要
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
要求
There are no specific requirements needed to attend this course.
14 時間
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