> On Sep 14, 2016, at 8:01 AM, Alaios via R-help <r-help@r-project.org> wrote:
> 
> Hi all,I have seen data.frames and operations from the mutate package getting 
> really popular. In the last years I have been using extensively lists, is 
> there any reason to not use lists and use other data types for data 
> manipulation and storage?
> Any article that describe their differences? I would like to thank you for 
> your replyRegardsAlex

Hi,

Presuming that you are referring to the mutate() **function**, which is in the 
dplyr package on CRAN, that package provides a variety of functions to 
manipulate data in R.

Data frames **are** lists with a data.frame class attribute, but with the 
proviso that each column in the data frame, which is a list element, has the 
same length, but like a list, may have different data types (e.g. character, 
numeric, etc.). 

Thus, a data frame is effectively a rectangular data structure, conceptually in 
the same manner as an Excel worksheet.

A list, which is a more generic data structure, can contain list elements of 
variable lengths and data types. 

You might want to begin by reviewing:

  
https://cran.r-project.org/doc/manuals/r-release/R-intro.html#Lists-and-data-frames

which is a section on lists and data frames in the Introduction To R Manual.

It would be surprising, to me at least, that you have been using R for several 
years and have not come across data frames, since they are used in many typical 
operations, including regression models and the like.

Regards,

Marc Schwartz
 
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