select_bootstrap_data: Select bootstrapping samples preserving group member...
In bootfs: Derive Robust Feature Sets for Two or Multiclass Classification Problems
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Select bootstrapping samples preserving group member frequencies.
Usage
1
select_bootstrap_data(datX, datY)
Arguments
datX
The data matrix.
datY
The grouping variable.
Details
Selects a bootstrap dataset from a data matrix datX. Proportions
of the groups A and B, as found in the grouping variable datY,
is preserved.
Value
A list with two elements:
datXThe bootstrap data matrix.
datYThe bootstrap grouping variable.
Author(s)
Christian Bender (christian.bender@tron-mainz.de)
See Also
doBootstrap
Examples
1
2
3
4
## Not run:
#todo
## End(Not run)
bootfs documentation built on May 2, 2019, 5:50 p.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
Description
Select bootstrapping samples preserving group member frequencies.
Usage
1 | select_bootstrap_data(datX, datY)
|
Arguments
datX |
The data matrix. |
datY |
The grouping variable. |
Details
Selects a bootstrap dataset from a data matrix datX. Proportions
of the groups A and B, as found in the grouping variable datY,
is preserved.
Value
A list with two elements:
datXThe bootstrap data matrix.
datYThe bootstrap grouping variable.
Author(s)
Christian Bender (christian.bender@tron-mainz.de)
See Also
doBootstrap
Examples
1 2 3 4 | ## Not run:
#todo
## End(Not run)
|
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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