juice() Function

A recipe object is a data structure that represents a pre-processing pipeline. It can be used to transform data in a consistent way. The juice() function can be used to extract the data from a recipe object so that it can be used for other purposes, such as modeling or visualization.

The syntax for the juice() function is as follows

juice(object, ...)

where object is a recipe object and ... are any additional arguments.

The juice() function returns a data frame that contains the data from the recipe object. The data frame will have the same columns as the original data frame, but the values in the columns will be the transformed values.

For example, if you have a recipe object that normalizes the data, the juice() function will return a data frame with the normalized values.

The juice() function is a useful tool for extracting data from recipe objects. It can be used to transform data in a consistent way and to use the data for other purposes.

Here is an example of how to use the juice() function:

Output:

# A tibble: 6 x 11
   mpg cyl disp hp drat    wt  qsec vs am gear carb
   <dbl> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1  21.0   6  160  110  3.90  2.58  16.46  0  1  4  4
2  21.0   6  160  110  3.90  2.76  17.02  0  1  4  4
3  18.5   8  302  130  3.08  3.21  19.44  1  0  3  2
4  17.3   8  350  140  3.54  3.44  17.60  0  0  3  2
5  15.2   8  318  150  3.21  3.44  18.30  0  0  3  2
6  19.2   6  160  120  3.90  3.15  19.44  1  0  4  4

The output is a data frame with the first few rows of the juiced data. The juiced data is the data from the recipe object after it has been normalized. The normalization process has transformed the values in the numeric columns to have a mean of 0 and a standard deviation of 1.

The juice() function in R Programming Language is used to extract the data from a recipe object. It is a part of the recipes package.