Convert List of Vectors to DataFrame in R
In this article, we will discuss how to convert the given list of vectors to Dataframe using the help of different functions in the R Programming Language.
For all the methods discussed below, few functions are common because of their functionality. Let us discuss them first.
- as.data.frame() is one of the simplest methods to convert the given list of vectors to the DataFrame in R language with just calling the as.data.frame() function and passing the required parameters, and further this function will be returning the DataFrame converted from the list of vectors given before.
Syntax: as.data.frame(x, row.names = NULL, optional = FALSE, …)
- Further, with the as.data.frame() function user needs to also call the do.call() function which is used here to constructs and executes a function call from a name or a function and a list of arguments to be passed to it.
Syntax: do.call(what, args, quote = FALSE, envir = parent.frame())
- what:-either a function or a non-empty character string naming the function to be called.
- args:a list of arguments to the function call. The names attribute of args gives the argument names.
- quote:-a logical value indicating whether to quote the arguments.
- envir:-an environment within which to evaluate the call.
Method 1: Using cbind()
cbind() function stands for column-bind. This function can be used to combine several vectors, matrices, or DataFrames by columns.
Syntax: cbind(x1, x2, …, deparse.level = 1)
In this approach, a single vector is considered as one column and then these columns are combined to form a dataframe.
Method 2: Using rbind()
rbind() function stands for row-bind. This function can be used to combine several vectors, matrices, or DataFrames by rows.
Syntax: rbind(x1, x2, …, deparse.level = 1)
x1, x2: vector, matrix, DataFrames
deparse.level: This value determines how the column names generated. The default value of deparse.level is 1.
In this approach, each vector is considered a row and then these rows are combined to form a dataframe.
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