decimate_row: Decimates a given row of a data matrix based on the patterns...
In Columbia-PRIME/PCPhelpers: Provides a bunch of functions to help with PCP experimentation.
decimate_row R Documentation
Decimates a given row of a data matrix based on the patterns the data matrix was simulated from.
Description
Given a row vector, β, simulated from a ground-truth pattern matrix, P,
decimate_row corrupts β to produce β', such that β'
has every value missing besides exactly one random observation corresponding to each pattern in P
(where the patterns are the rows of P).
Usage
decimate_row(row, pats)
Arguments
row
The row to be decimated.
pats
The ground truth patterns the row was simulated from.
Value
The decimated row.
See Also
decimate_mat
Columbia-PRIME/PCPhelpers documentation built on April 24, 2022, 7:57 p.m.
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| decimate_row | R Documentation |
Decimates a given row of a data matrix based on the patterns the data matrix was simulated from.
Description
Given a row vector, β, simulated from a ground-truth pattern matrix, P,
decimate_row corrupts β to produce β', such that β'
has every value missing besides exactly one random observation corresponding to each pattern in P
(where the patterns are the rows of P).
Usage
decimate_row(row, pats)
Arguments
row |
The row to be decimated. |
pats |
The ground truth patterns the row was simulated from. |
Value
The decimated row.
See Also
decimate_mat
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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