What is an apply function in R and explain how to use apply functions with examples? R Programming provides several applied collections that include apply(), lapply(), vapply(), sapply() and many more functions, all these collections are used to call a function for each element of the R...
sapply() 函数 R实现 tapply() 函数 R实现 apply(), lapply(), sapply(), and tapply() in R 在本文中,我们将了解R 编程语言中的 apply()、lapply()、sapply() 和 tapply() 函数。 apply() 集合是 R 基本包的一部分。这一系列函数帮助我们将某个函数应用于某个dataframe、列表或向量,并根据我们使用...
If you are a student and you are worried about you statistical #Assignments, #Data #Analysis, #Thesis, #reports, #composing, #Quizzes, Exams.. And if you are facing problem in #SPSS, #R-Programming, #Excel, Mplus, then contact me. Because I could provide you the best services for ...
apply()R语言中的函数用于对数组或矩阵的元素执行数学运算。 用法:apply(x, margin, func) 参数: x:数组或矩阵 margin:要应用操作的维度 func:要应用的操作 范例1: #R program to illustrate#apply()function#Creating a matrixA = matrix(1:9, 3, 3) ...
In this post, I’ll explain how toapply the data.frame functioninthe R programming language. Table of contents: 1)Example 1: How to Create a Data Frame Using the data.frame() Function 2)Example 2: Change Row Names when Creating a Data Frame ...
R 语言中的 rapply() 函数用于将函数递归应用于列表。 用法: rapply(object, f, classes = “ANY”, deflt = NULL, how = c(“unlist”, “replace”, “list”)) 参数: object:表示列表或表达式 f:表示要递归应用的函数 classes:表示向量的类名或 “ANY” 以匹配任何类 ...
If you are a student and you are worried about you statistical #Assignments, #Data #Analysis, #Thesis, #reports, #composing, #Quizzes, Exams.. And if you are facing problem in #SPSS, #R-Programming, #Excel, Mplus, then contact me. Because I could provide you the best services for ...
Learn about several useful functions for data structure manipulation, nested-lists, regular expressions, and working with times and dates in the R programming language. Aditya Sharma 14 Min. Lernprogramm R Formula Tutorial Discover the R formula and how you can use it in modeling- and graphical ...
1 stands for row, 2 stands for column... In the example above, we collapse the 3rd dimension (there would be no 3rd dimension in the result), and maintain the 1st and 2nddimension(row & column)
for(i in (1 : n)) { cmean[i] <- mean(mtcars[,i]) } 使用apply()语句如下: cmean2 <- apply(mtcars, 2, mean) 相比于for循环,apply()不用事先确定循环次数,也不需要引入过多的变量,运算速度也更快。 apply()也可以在自身参数位置上调用其他函数的参数 ...