Shopping Cart - R Typing CST Test
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Shopping Cart — R Code
Adds and removes items in a shopping cart with total cost.
cart <- data.frame(Item=character(), Price=numeric())
addItem <- function(item, price) { cart <<- rbind(cart, data.frame(Item=item, Price=price)); print(cart) }
removeItem <- function(index) { cart <<- cart[-index,]; print(cart) }
# Simulate actions
addItem('Apple', 2)
addItem('Banana', 3)
removeItem(1)R Language Guide
R is a high-level, interpreted programming language and environment specifically designed for statistical computing, data analysis, and graphical representation. It provides a rich ecosystem of packages and functions for statistical modeling, data visualization, and reproducible research.
Primary Use Cases
- ▸Statistical modeling and hypothesis testing
- ▸Data visualization and reporting
- ▸Machine learning and predictive analytics
- ▸Bioinformatics and genomic data analysis
- ▸Financial and econometric analysis
Notable Features
- ▸Extensive statistical functions and packages
- ▸High-quality graphics with ggplot2 and base plotting
- ▸Vectorized operations for efficient computation
- ▸Data frame and tibble structures for data manipulation
- ▸CRAN repository with thousands of contributed packages
Origin & Creator
Created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, in 1993 as an open-source alternative to S and S-PLUS.
Industrial Note
R is heavily used in statistical research, data science, machine learning experiments, and academic publications where reproducible data analysis is critical.