Introduction to R for Business Intelligence

Chapter 2 - Data Cleaning

The following table describes some other useful functions for Chapter 2, Data Cleaning:

Function	Description
as.character(); as.factor(); as.logical()	These are the functions to perform type conversion, such as as.numeric() seen in Chapter 2, Data Cleaning.
class()	This is used on an R object to determine the data type that the object is stored as.
encoding()	This reveals the encoding scheme that is used in storing the object.
grepl(); grep()	These are the functions in the base R package that use regular expressions to find instances of a search string.
gsub()	This is the function in the base R package that allows for global substitution of a string with another.
impute(x, fun = mean)	This ...