create_Z_linear: Contains functions to create synthetic datasets with...
In bwrc/cocoreg-r: Extract Shared Variation in Collections of Data Sets Using Regression Models
Description
Usage
Arguments
Value
Description
Contains functions to create synthetic datasets with different properties.
The create_syn_data_*() functions follow the scheme:
"total variation = shared_by_all + shared_by_subset + noise"
Create signals
Usage
1
create_Z_linear(N, decorrelate = T)
Arguments
N
Number of observations in data as integer
decorrelate
(optional) Should the variables be de-correlated?
Value
A [N,3] matrix of signals
bwrc/cocoreg-r documentation built on May 13, 2019, 9:09 a.m.
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Description Usage Arguments Value
Description
Contains functions to create synthetic datasets with different properties. The create_syn_data_*() functions follow the scheme: "total variation = shared_by_all + shared_by_subset + noise" Create signals
Usage
1 | create_Z_linear(N, decorrelate = T)
|
Arguments
N |
Number of observations in data as integer |
decorrelate |
(optional) Should the variables be de-correlated? |
Value
A [N,3] matrix of signals
R Package Documentation
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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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