Tutorial by Examples

In general, most of the objects you would interact with as a user would tend to be a vector; e.g numeric vector, logical vector. These objects can only take in a single type of variable (a numeric vector can only have numbers inside it). A list would be able to store any type variable in it, making...

Lists allow users to store multiple elements (like vectors and matrices) under a single object. You can use the list function to create a list: l1 <- list(c(1, 2, 3), c("a", "b", "c")) l1 ## [[1]] ## [1] 1 2 3 ## ## [[2]] ## [1] "a" "b" &q...

To the average R user, the list structure may appear to be the one of the more complicated data structures to manipulate. There are no guarantees that all the elements within it are of the same type; There is no guaranteed structure of how complicated/non-complicated that the list would be (An eleme...

When one wishes to convert a list to a vector or data.frame object empty elements are typically dropped. This can be problematic which a list is created of a desired length are created with some empty values (e.g. a list with n elements is created to be added to an m x n matrix, data.frame, or data...

There exist cases in which it is necessary to put data of different types together. In Azure ML for example, it is necessary to pass informations from a R script module to another one exclusively throught dataframes. Suppose we have a dataframe and a number: > df name height team...