In R, the layout of a dataset is known to be different from the typical layout that we discussed in the previous section. This new layout consists of only the identification variables and a value per variable. The identification variable identifies a subject, along with which measured variable the value represents and which is the long layout in this paradigm. In this new paradigm, each row represents one observation of one variable. Interestingly, the typical long and wide layouts are both known as wide layout in this new paradigm. In the new paradigm, long data is also known as molten data, and the process of producing molten data is known as melting from the wide layout. The difference between this new layout of the data and the typical layout is that it now contains only the ID variable and a new column value, which represents the value of that observation. The following is an example of molten data that comes from the typical long layout: