{"id":4444,"date":"2017-10-12T09:51:26","date_gmt":"2017-10-12T04:21:26","guid":{"rendered":"http:\/\/data-flair.training\/blogs\/?p=4444"},"modified":"2021-08-25T17:26:33","modified_gmt":"2021-08-25T11:56:33","slug":"r-factor-functions","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/r-factor-functions\/","title":{"rendered":"R Factor – Learn the complete process from Creation to Modification!"},"content":{"rendered":"

R factor is used to store\u00a0categorical data as levels. It can store both character and integer types of data. These factors are created with the help of factor()<\/em> functions, by taking a vector as input.<\/p>\n

So, why waste time? Let’s start the process of creating factors, accessing its components, generating factor level and modification<\/em> with the help of examples.<\/p>\n

\"Learn<\/a><\/p>\n

What is R Factor?<\/h2>\n

R factors are variables. It takes a limited number of different values. Hence, those variables are often known as categorical variables<\/em>. In order to categorise the data and store it on multiple levels, we use the data object called R factor. They can store both strings and integers. They are also useful in the columns which have a limited number of unique values.<\/p>\n

The factor is stored as integers. They have labels associated with these unique integers. We need to be careful while treating factors like strings. Factor contains a predefined set value called levels. By default, R always sorts levels in alphabetical order.<\/p>\n

Before proceeding ahead, let’s first revise the R Vector Operations<\/a><\/strong><\/em><\/p>\n

Attributes of a Factor<\/h3>\n

Some important attributes of the factor that we will use in this article are:<\/p>\n