This section introduces R data structures: One-dimensional data structure Vector; 2-dimensional data structure Matrix; n-dimensional data structure Array; tabular data structure Data Frame; and data structure List which can store any other type data objects. And this section also introduce how to create R data structure: using read.table() function to read text or csv files to create a data frame; using read.csv() function to read csv file to create a data frame. This section also introduces several functions: with().
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We provide effective and economically affordable training courses for R and Python, click here for more details and course registration…
We provide effective and economically affordable training courses for R and Python, click here for more details and course registration…
n this post, we show how to generate random numbers into vector and matrix in R programming, from various statistical…
It is not uncommon to generate random sequences in R programming. sample() function provides the feasibility of generating such random…
R language provides several useful functions for importing delimited files and creating data frames. These delimited files are often stored…
Categorical variables, including nominal and ordinal variables in R programming language are called factor variables. For example, gender(male/female) is nominal,…
list is a type of data structure in R programming language. Unlike other data structures, especially matrix and vector, in…
read.table() function in R is often used when a delimited ASCII file (e.g. text file or csv file) is to…
Data frames are the most widely used data structures in R programming. Unlike each element in vector/matrix/array must have same…