R-将KNN从类别转换为数值 [英] R - convert from categorical to numeric for KNN

问题描述

我正在尝试使用R的Caret包来使用UCI Machine Learning中应用于鲍鱼"数据库的KNN(链接到)分别转换为数字值，例如1,2,3?

I'm trying to use the Caret package of R to use the KNN applied to the "abalone" database from UCI Machine Learning (link to the data). But it doesn't allow to use KNN when there's categorical values. How do I convert the categorical values (in this database: "M","F","I") to numeric values, such as 1,2,3, respectively?

推荐答案

通过read.table读取数据时，第一列中的数据是因素.然后

When data are read in via read.table, the data in the first column are factors. Then

data$iGender = as.integer(data$Gender) 

会工作.如果它们是字符，则绕过因子最容易:

would work. If they are character, a detour via factor is easiest:

data$iGender= as.integer(as.factor(data$Gender))

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