## 统计代写|R语言代写R language代考|Object names and character strings

In all assignment examples before this section, we have used object names included as literal character strings in the code expressions. In other words, the names are “decided” as part of the code, rather than at run time. In scripts or packages, the object name to be assigned may need to be decided at run time and, consequently, be available only as a character string stored in a variable. In this case, function assign() must be used instead of the operators $<-$ or $\rightarrow$. The statements below demonstrate its use.
First using a character constant.

Next using a character value stored in a variable.
The complementary operation of assigning a name to an object is to get an object when we have available its name as a character string. The corresponding function is get().

If we have available a character vector containing object names and we want to create a list containing these objects we can use function mget(). In the example below we use function $15 \mathrm{O})$ to obtain a character vector of object names matching a specific pattern and then collect all these objects into a list.

## 统计代写|R语言代写R language代考|The multiple faces of loops

To close this chapter, I will mention some advanced aspects of the R language that are useful when writing complex scrips-if you are going through the book sequentially, you will want to return to this section after reading chapters 4 and 5 . In the same way as we can assign names to numeric, character and other types of objects, we can assign names to functions and expressions. We can also create lists of functions and/or expressions. The $R$ language has a very consistent grammar, with all lists and vectors behaving in the same way. The implication of this is that we can assign different functions or expressions to a given name, and consequently it is possible to write loops over lists of functions or expressions.

In this first example we use a character vector of function names, and use function do. ca11() as it accepts either character strings or function names as its first argument. We obtain a numeric vector with named members with names matching the function names.

We can use a named list of functions to gain full control of the naming of the results. We obtain a numeric vector with named members with names matching the names given to the list members.

# R语言代考

## 统计代写|R语言代写R language代考|The multiple faces of loops

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