r语言是高级编程语言_R编程语言中的数据类型

梦里梦外; 2023-03-05 13:28 35阅读 0赞

r语言是高级编程语言

Generally, while doing programming in any programming language, you need to use different variables to store information. Variables are nothing but some reserved memory locations to store the values. This means that you reserve some space in memory when you create a variable.

通常，在以任何一种编程语言进行编程时，您需要使用不同的变量来存储信息。 变量不过是一些保留值的存储位置。 这意味着您在创建变量时会在内存中保留一些空间。

Contrary to other programming languages like C, C++, and Java in R, the variables are not declared as some **data type**. The variables in R are R-Objects and the data type of the R-object becomes the data type of the variable. There are different types of R-objects. The frequently used ones are:

与R中的其他编程语言(例如C，C ++和Java)相反，变量未声明为某些**数据类型** 。 R中的变量是R对象，R对象的数据类型变为变量的数据类型。 有不同类型的R对象。 常用的是：

1.  Vectors
    
    向量
2.  Lists
    
    清单
3.  Matrices
    
    矩阵
4.  Arrays
    
    数组
5.  Factors
    
    因素
6.  Data Frames
    
    数据框

### 1)向量 **(**1) Vectors**)** ###

When vector is created with more than one element, you should use **c()** function which means to combine the elements into a vector.

当使用多个元素创建矢量时，应使用**c()**函数，这意味着将这些元素组合成一个矢量。

# Create a vector.
    apple 
     The above code, it produces the following result
     2) Lists
     A list is another R-object which can contain many different types of elements inside it like functions, vectors and even another list inside it.
     # Create a list.
    list1 
     When we execute the above code, it produces the following result
     3) Matrices
     A matrix is a 2D rectangular data set. It can be created using a vector input which can be given to the matrix function.
     # Create a matrix.
    M = matrix( c('a','a','b','c','b','a'), nrow = 2, ncol = 3, byrow = TRUE)
    print(M)
    
     When we execute the code, it produces the following result
     4) Arrays
     While matrices are just upto two dimensions, arrays can be of any dimension. The array function takes a dim (dimension) attribute which creates the required number of dimension. In the example below we create an array with two elements which are 3x3 matrices each.
     # Create an array.
    a 
     When we execute the above code, it produces the following result
     5) Factors
     Factors are other R-objects which are created using a vector. They store the vector along with the distinct values of the elements in the vector as labels. The labels are always character irrespective of the data type whether it is numeric or character or Boolean etc given in the input vector. They are useful in statistical modeling.
     Factors are created using the function factor(). The n levels functions give the count of levels in the factor.
     # Create a vector.
    apple_colors 
     When we execute the above code, it produces the following result
     6) Data Frames
     Data frames are tabular objects of data. Contrary to a matrix in data frame each column can contain different modes of data. Columns can be of different type like first column can be numeric while the second column can be character and third column can be logical. It can be said to be a list of vectors of equal length.
     Data Frames are created using the function data.frame().
     # Create the data frame.
    BMI 
     When we execute the above code, it produces the following result
     Note: Examples of every data type are referenced from book and different sites.
    
    
    
    
    
    
           
            
    
            
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# Create a vector.
    apple 
     The above code, it produces the following result
     2) Lists
     A list is another R-object which can contain many different types of elements inside it like functions, vectors and even another list inside it.
     # Create a list.
    list1 
     When we execute the above code, it produces the following result
     3) Matrices
     A matrix is a 2D rectangular data set. It can be created using a vector input which can be given to the matrix function.
     # Create a matrix.
    M = matrix( c('a','a','b','c','b','a'), nrow = 2, ncol = 3, byrow = TRUE)
    print(M)
    
     When we execute the code, it produces the following result
     4) Arrays
     While matrices are just upto two dimensions, arrays can be of any dimension. The array function takes a dim (dimension) attribute which creates the required number of dimension. In the example below we create an array with two elements which are 3x3 matrices each.
     # Create an array.
    a 
     When we execute the above code, it produces the following result
     5) Factors
     Factors are other R-objects which are created using a vector. They store the vector along with the distinct values of the elements in the vector as labels. The labels are always character irrespective of the data type whether it is numeric or character or Boolean etc given in the input vector. They are useful in statistical modeling.
     Factors are created using the function factor() . The n levels functions give the count of levels in the factor.
     # Create a vector.
    apple_colors 
     When we execute the above code, it produces the following result
     6) Data Frames
     Data frames are tabular objects of data. Contrary to a matrix in data frame each column can contain different modes of data. Columns can be of different type like first column can be numeric while the second column can be character and third column can be logical. It can be said to be a list of vectors of equal length.
     Data Frames are created using the function data.frame() .
     # Create the data frame.
    BMI 
     When we execute the above code, it produces the following result
      Note: Examples of every data type are referenced from book and different sites.
    
    
    
    
    
    
           
            
    
            
             TOP Interview Coding Problems/Challenges Run-length encoding (find/print frequency of letters in a string) Sort an array of 0's, 1's and 2's in linear time complexity Checking Anagrams (check whether two string is anagrams or not) Relative sorting algorithm Finding subarray with given sum Find the level in a binary tree with given sum K Check whether a Binary Tree is BST (Binary Search Tree) or not 1[0]1 Pattern Count Capitalize first and last letter of each word in a line Print vertical sum of a binary tree Print Boundary Sum of a Binary Tree Reverse a single linked list Greedy Strategy to solve major algorithm problems Job sequencing problem Root to leaf Path Sum Exit Point in a Matrix Find length of loop in a linked list Toppers of Class Print All Nodes that don't have Sibling Transform to Sum Tree Shortest Source to Destination Path 评论和讨论 广告：您是博主吗？ 加入我们的Blogging论坛 。 请启用JavaScript以查看 由Disqus提供的 评论。

> 翻译自: [https://www.includehelp.com/r/data-types-in-r-programming-language.aspx][https_www.includehelp.com_r_data-types-in-r-programming-language.aspx]

r语言是高级编程语言

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