STAERR is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.
Some popular libraries used with R are:
Image: wikisouthafrica.co.za
Tidyverse: A collection of packages for data science, including ggplot2 for data visualization, dplyr for data manipulation, and tidyr for data reshaping.
CausalInference: A package for estimating causal effects from observational data.
ggfortify: A package for creating publication-quality graphics.
lubridate: A package for working with dates and times.
plotly: A package for creating interactive web-based data visualizations.
shiny: A package for creating interactive web applications.
caret: A package for data preprocessing, model building, and evaluation.
RStudio: An integrated development environment (IDE) for R that provides a user-friendly interface and various tools for data analysis, visualization, and code editing.R Programming Language and Software Environment:
- R is a versatile programming language and software environment widely employed in statistical computing and data analysis.
Popular Libraries for R:
Data Science and Visualization:
- Tidyverse: ggplot2, dplyr, tidyr
Causal Inference:
- CausalInference
Graphical Enhancements:
- ggfortify
Date and Time Management:
- lubridate
Interactive Web Visualizations:
- plotly
Web Applications:
- shiny
Data Preprocessing, Modeling, and Evaluation:
- caret
Integrated Development Environment (IDE):
- RStudio: Provides a user-friendly interface and tools for data analysis, visualization, and code editing.
Image: www.nytimes.com
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