count_missing_data: for each individual count the number or loci missing and...
In benmoran11/rubias: Bayesian Inference from the Conditional Genetic Stock Identification Model
View source: R/count_missing_data.R
count_missing_data R Documentation
for each individual count the number or loci missing and non_missing
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
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)
benmoran11/rubias documentation built on Feb. 1, 2024, 10:52 p.m.
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View source: R/count_missing_data.R
| count_missing_data | R Documentation |
for each individual count the number or loci missing and non_missing
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
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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