reduce_first_component: Reduce selected variables to first principal component
In USCbiostats/partition: Agglomerative Partitioning Framework for Dimension Reduction
reduce_first_component R Documentation
Reduce selected variables to first principal component
Description
Reducers are functions that tell the partition algorithm how
to reduce the data. as_reducer() is a helper function to create new
reducers to be used in partitioners. partitioners can be created with
as_partitioner().
reduce_first_component() returns the first component from the
principal components analysis of the target variables.
Usage
reduce_first_component(.partition_step)
Arguments
.partition_step
a partition_step object
Value
a partition_step object
See Also
Other reducers:
as_reducer(),
reduce_kmeans(),
reduce_scaled_mean()
USCbiostats/partition documentation built on Feb. 3, 2024, 3:38 a.m.
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| reduce_first_component | R Documentation |
Reduce selected variables to first principal component
Description
Reducers are functions that tell the partition algorithm how
to reduce the data. as_reducer() is a helper function to create new
reducers to be used in partitioners. partitioners can be created with
as_partitioner().
reduce_first_component() returns the first component from the
principal components analysis of the target variables.
Usage
reduce_first_component(.partition_step)
Arguments
.partition_step |
a |
Value
a partition_step object
See Also
Other reducers:
as_reducer(),
reduce_kmeans(),
reduce_scaled_mean()
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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