Difference Between as.data.frame() and data.frame() in R

data.frame as.data.frame
Used to create object Used to coerce object
Slowerarguments Time complexity is less, which implies it is faster
All variables of the data frame have to be specified as argument of the method R objects are supplied as input arguments to the method


Difference Between as.data.frame() and data.frame() in R

R Programming Language contains a large number of data structures, data frames being very crucial in it. It is used to organize the data in a well-arranged tabular manner. Data frames can both be created from scratch as well as other data objects can be converted to data frames easily using large inbuilt R methods. 

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as.data.frame()

The as.data.frame() method in R is used to check if a particular R object is a data frame or not.  If not, it is used to convert the R objects into the data frame object. The objects taken as arguments may be vectors, lists or matrices. It is an in-built method in R. The as.data.frame method has the following syntax :...

data.frame()

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Difference Between as.data.frame() and data.frame() in R

The data.frame method in R is used to create a data frame object into the R working space. It is an in-built method in R Programming Language....

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