CPUE.boot: For the Rao two stage bootstrap
In jBernardADFG/LakeLouiseBurbotOP2020: Functions used in the 2020 Lake Louise OP
Description
Usage
Arguments
Value
Examples
Description
For the Rao two stage bootstrap
Usage
1
CPUE.boot(cmat, B = 1000)
Arguments
cmat
A matrix containing the fish counts. Note: columns represent transects and rows represent sets within transects.
B
The number of bootstrap iterations.
Value
Returns a list where $CPUE_B is the ordinary bootstrapped sampling distribution and $CPUE_Bc is the bias corrected sampling distribution.
Examples
1
2
3
ct_mat <- get.ct.mat("S:/Jordy/louiseOP2020/Data/CPUE.xls", "CPUEL")
ct_mat <- ct_mat[,-11]
CPUE.boot(ct_mat)
jBernardADFG/LakeLouiseBurbotOP2020 documentation built on March 25, 2020, 12:06 a.m.
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Description Usage Arguments Value Examples
Description
For the Rao two stage bootstrap
Usage
1 | CPUE.boot(cmat, B = 1000)
|
Arguments
cmat |
A matrix containing the fish counts. Note: columns represent transects and rows represent sets within transects. |
B |
The number of bootstrap iterations. |
Value
Returns a list where $CPUE_B is the ordinary bootstrapped sampling distribution and $CPUE_Bc is the bias corrected sampling distribution.
Examples
1 2 3 | ct_mat <- get.ct.mat("S:/Jordy/louiseOP2020/Data/CPUE.xls", "CPUEL")
ct_mat <- ct_mat[,-11]
CPUE.boot(ct_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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