如何在R中使用大数据对多个变量进行热编码? [英] How can I one hot encode multiple variables with big data in R?

问题描述

我目前有一个包含260,000行和50列的数据框，其中3列为数字，其余为分类.我想对类别列进行热编码，以执行PCA并使用回归来预测类.如何在R中完成以下示例?

I currently have a dataframe with 260,000 rows and 50 columns where 3 columns are numeric and the rest are categorical. I wanted to one hot encode the categorical columns in order to perform PCA and use regression to predict the class. How can I go about accomplishing the below example in R?

Example:
V1 V2 V3 V4 V5 .... VN-1 VN

to

V1_a V1_b V2_a V2_b V2_c V3_a V3_b and so on

推荐答案

您可以使用model.matrix或sparse.model.matrix.像这样:

You can use model.matrix or sparse.model.matrix. Something like this:

sparse.model.matrix(~. -1, data = your_data)

~.告诉R您的整个表(.)是某些假设模型的右侧，而-1说则省略了截距.如果没有-1，则第一列将是1s的向量.

The ~. tells R that your entire table (the .) is the right hand side of some hypothetical model, and the -1 says to leave out the intercept. Without the -1 your first column will be a vector of 1s.

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