marray_wtd: Construct m-ij array with weighted probability
In boppingshoe/bootylator: Bootstrap Program for CSS Estimates
Description
Usage
Arguments
Details
Value
Examples
Description
Construct m-ij array with weighted probability
Usage
1
marray_wtd(CH, n_occ)
Arguments
CH
Input file made by format_dat() function.
n_occ
Total detection events including the trawl.
Details
It needs pre-assigned weights to calculate weighted m-ij. If all weights are the same, the results are the same as the unweighted m-ij.
Value
m-ij array
Examples
1
2
3
4
5
6
# pre-assign weights for intergrated and segregated populations
intgr<- 234012/(234012+813874) # 2014 CW
segr <- 813874/(234012+813874) # 2014 AD
# make input file, specify weighted sampling
wgt_data<- format_dat('C:/Users/bobbyhsu/Documents/Temp/SR HCH 2014 MCCA.csv', wgt='y')
marray(wgt_data, n_occ= 8)
boppingshoe/bootylator documentation built on May 8, 2019, 1:01 p.m.
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Description Usage Arguments Details Value Examples
Description
Construct m-ij array with weighted probability
Usage
1 | marray_wtd(CH, n_occ)
|
Arguments
CH |
Input file made by |
n_occ |
Total detection events including the trawl. |
Details
It needs pre-assigned weights to calculate weighted m-ij. If all weights are the same, the results are the same as the unweighted m-ij.
Value
m-ij array
Examples
1 2 3 4 5 6 | # pre-assign weights for intergrated and segregated populations
intgr<- 234012/(234012+813874) # 2014 CW
segr <- 813874/(234012+813874) # 2014 AD
# make input file, specify weighted sampling
wgt_data<- format_dat('C:/Users/bobbyhsu/Documents/Temp/SR HCH 2014 MCCA.csv', wgt='y')
marray(wgt_data, n_occ= 8)
|
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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