grouper: Transform a numeric vector by grouping it according to the...
In rattle: Graphical User Interface for Data Science in R
rescale.by.group R Documentation
Transform a numeric vector by grouping it according to the values of
the supplied factor and then rescaling within the groups.
Description
The numeric vector is remapped to integers from 0 to max-1, with any
missing values mapped to the midpoint. Original idea from Tony
Nolan. This will eventually be generalised to do the remapping using
any of the rescaling functions.
Usage
rescale.by.group(x, by=NULL, type = "irank", itop = 100)
Arguments
x
The numeric vector to rescale.
by
A factor of the same length as x used to define the groups.
type
The type of rescaling to perform.
itop
For an integer remapping this is the number of groups, so
that the numeric values are maped to the integers from 0 to (max-1).
Details
This Rattle support function, which is also useful by itself, provides
a simple mechanism to rescale a numeric variable. Several rescalings
are possible. The rescaling is done by first grouping the observations
according to the by argument.
Author(s)
References
Package home page: https://rattle.togaware.com
See Also
rattle.
rattle documentation built on March 21, 2022, 5:06 p.m.
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| rescale.by.group | R Documentation |
Transform a numeric vector by grouping it according to the values of the supplied factor and then rescaling within the groups.
Description
The numeric vector is remapped to integers from 0 to max-1, with any missing values mapped to the midpoint. Original idea from Tony Nolan. This will eventually be generalised to do the remapping using any of the rescaling functions.
Usage
rescale.by.group(x, by=NULL, type = "irank", itop = 100)
Arguments
x |
The numeric vector to rescale. |
by |
A factor of the same length as x used to define the groups. |
type |
The type of rescaling to perform. |
itop |
For an integer remapping this is the number of groups, so that the numeric values are maped to the integers from 0 to (max-1). |
Details
This Rattle support function, which is also useful by itself, provides a simple mechanism to rescale a numeric variable. Several rescalings are possible. The rescaling is done by first grouping the observations according to the by argument.
Author(s)
References
Package home page: https://rattle.togaware.com
See Also
rattle.
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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