R in Action > Creating a dataset > Useful functions for working with data objects

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We’ll end this chapter with a brief summary of useful functions for working with data objects (see table 2.3).

Table 2.3. Useful functions for working with data objects
Function	Purpose
`length(object)`	Number of elements/components.
`dim(object)`	Dimensions of an object.
`str(object)`	Structure of an object.
`class(object)`	Class or type of an object.
`mode(object)`	How an object is stored.
`names(object)`	Names of components in an object.
`c(object, object,...)`	Combines objects into a vector.
`cbind(object, object, ...)`	Combines objects as columns.
`rbind(object, object, ...)`	Combines objects as rows.
`object`	Prints the object.
`head(object)`	Lists the first part of the object.
`tail(object)`	Lists the last part of the object.
`Is()`	Lists current objects.
`rm(object, object, ...)`	Deletes one or more objects. The statement `rm(list = Is())` will remove most objects from the working environment.
`newobject <- edit(object)`	Edits object and saves as newobject.
`fix(object)`	Edits in place.

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Chapter 2. Creating a dataset > Useful functions for working with data objects