count_missing_data: for each individual count the number or loci missing and...
In rubias: Bayesian Inference from the Conditional Genetic Stock Identification Model
Description
Usage
Arguments
Value
View source: R/count_missing_data.R
Description
Takes a rubias genetic data frame that must have column "indiv". Haploids have the
second column at each locus totally missing. Diploids with missing data will have both gene copies
missing.
Usage
1
count_missing_data(D, gen_start_col)
Arguments
D
the data frame
gen_start_col
the column in which the genetic data starts
Value
returns a data frame with indiv (as characters), n_non_miss_loci, n_miss_loci (as numeric) and missing_loci
(as a list-column of named integer vectors)
rubias documentation built on Feb. 10, 2022, 1:06 a.m.
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Description Usage Arguments Value
View source: R/count_missing_data.R
Description
Takes a rubias genetic data frame that must have column "indiv". Haploids have the second column at each locus totally missing. Diploids with missing data will have both gene copies missing.
Usage
1 | count_missing_data(D, gen_start_col)
|
Arguments
D |
the data frame |
gen_start_col |
the column in which the genetic data starts |
Value
returns a data frame with indiv (as characters), n_non_miss_loci, n_miss_loci (as numeric) and missing_loci (as a list-column of named integer vectors)
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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