scale_vars: Transform numeric columns
In lewinfox/fast-ai-structured: Tools for Working With Structured Data
Description
Usage
Arguments
Value
Description
Any numeric columns are scaled and centred to have a mean of 0 and a standard
deviation of 1. Optionally, also normalise the values to the range 0, 1.
Usage
1
scale_vars(df, normalise = FALSE)
Arguments
df
A 'data.frame' to be transformed.
normalise
If TRUE, after scaling and centering the values are
normalised to the range 0, 1.
Value
A transformed data.frame.
lewinfox/fast-ai-structured documentation built on May 23, 2019, 5:03 a.m.
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Description Usage Arguments Value
Description
Any numeric columns are scaled and centred to have a mean of 0 and a standard deviation of 1. Optionally, also normalise the values to the range 0, 1.
Usage
1 | scale_vars(df, normalise = FALSE)
|
Arguments
df |
A 'data.frame' to be transformed. |
normalise |
If |
Value
A transformed data.frame.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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