People who want to know how to create a deck of cards in R can have several reasons to work on this endeavor. The most common is that are planning a trip to a place like Monte Carlo, where they can play poker, blackjack, or any card game for money. They can take the deck created to make a simulation to understand the probability they may encounter in a game. There are several ways to handle the creation of a simulate deck of cards, but it will not be difficult once the different commands are understood. Here is some of the knowledge needed.
The basic R language should be able to handle the simulate deck of cards, but there can be some ways to make it easier with a different package or two. Tidyverse is a package created to help with data analysis, so this can be the right one to use if a person is working to understand all the aspects of a particular game via the math. This package is actually a collection and should probably be studied by any R programmer. The main package that will be useful in the collection will be the dplyr one, as it is considered one of the best for dealing with data frames.
The way that any deck will be created, especially with what is basically 52 variables, is the data.frame function. Each playing card is a variable, and this means that different values will need to be assigned, including any face card ace through jack. The dealing portion of any program after this will need to go through to randomly select a new card and track the remaining cards. There are different variations on how to do this properly, with most making a complete deck and others making each suit as a separate deck.
When making any simulation dealing with most of the normal card games, a person will not need to code in a wild card. This will be considered a special card and may bring about several more headaches, which may cause programmers to consider making each suit as a separate deck and make a deck especially for it. A person who is going to do several programs for different games might want to either keep a copy of the deck code or make it a program that can be used by others.
One of the nice bits of R is that there already is a deal function that a person can use for their newly minted creation.
That is the function and the two arguments that are available. The position is where the dealer would be.
A function in the dplyr package that can be nice when having separate decks for suits and then combining them is unite.
unite(data col, …)
What is in the parentheses are different arguments, but what it does is combine the different columns that the programmer selects and renames them.
Most of this will not be able to be done if the programmer does not understand how to manipulate data frames. That would take different articles to get a person to be comfortable with them. It can also help with the process if the programmer also understand the game or games that they are wanting to simulate. This is also good practice for creating large data groups for other types of analysis, and understanding the dealing is great for beginning in data analysis. It can take time to understand either poker or all the information from an illness that affects the world.