make_dist_mat: Make distance matrix for set of samples
In ShawHahnLab/microsat: Computational, High-throughput Individual Identification through Microsatellite Profiling
View source: R/summarize_dataset.R
make_dist_mat R Documentation
Make distance matrix for set of samples
Description
Compare the genotype of each sample to each other sample in a given results
summary data frame, and create a between-sample distance matrix. This will
be a symmetric matrix, unlike what make_dist_mat_known produces.
Usage
make_dist_mat(results_summary, dist_func = calc_genotype_distance)
Arguments
results_summary
cross-sample summary data frame as produced by
analyze_dataset.
dist_func
function to calculate inter-sample distances. Should take
two vectors, one for each genotype, with two values per locus corresponding
to the two alleles.
Value
matrix of cross-sample distance values
ShawHahnLab/microsat documentation built on Aug. 25, 2023, 11:16 p.m.
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View source: R/summarize_dataset.R
| make_dist_mat | R Documentation |
Make distance matrix for set of samples
Description
Compare the genotype of each sample to each other sample in a given results summary data frame, and create a between-sample distance matrix. This will be a symmetric matrix, unlike what make_dist_mat_known produces.
Usage
make_dist_mat(results_summary, dist_func = calc_genotype_distance)
Arguments
results_summary |
cross-sample summary data frame as produced by analyze_dataset. |
dist_func |
function to calculate inter-sample distances. Should take two vectors, one for each genotype, with two values per locus corresponding to the two alleles. |
Value
matrix of cross-sample distance values
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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