How to use scale () function to realize data Standardization in R language

Today, I will talk to you about how to use the scale () function in R language to achieve data standardization. Many people may not know much about it. In order to make you understand better, the editor has summarized the following content for you. I hope you can get something according to this article.

Standardizing data is originally a common operation. Unfortunately, SPSS does not provide a built-in dedicated menu. Everyone does this by checking the "Save standardized value as variable" option under the "description Statistics" menu.

The R language is very real, and it can be easily done with a simple function.

Scale (data,center=T,scale=T) or default parameter scale (data)

Interpretation of the two parameters center and scale:

1.center and Scale default to true, that is, T or TRUE

2.center is true to indicate data centralization

3.scale is true to indicate data standardization

Let's demonstrate it with the USJudgeRatings dataset that comes with R.

Head (scale (USJudgeRatings))

(showing some of the results) compared with the results of SPSS, it is completely consistent.

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