drop_low_sample_size: Drops populations from main data frame when sample size is...
In EvolEcolGroup/mtDNAcombine: R package to download, combine, and curate sequences from public databases
Description
Usage
Arguments
Details
View source: R/drop_low_sample_size.R
Description
drop_low_sample_size
Usage
1
drop_low_sample_size(info_df, min_sample)
Arguments
info_df
expected to be data frame of same structure as info_df built
under earlier functions. Expected column names are 'spp_name', 'haplo_number',
'sequence_length', 'sample_size', 'max_step'
min_sample
minimum number of haplotypes before user considers data will
be uninformative
Details
Remove populations that have a sample size of less than a threshold value.
Find and drop from master list populations that have insufficient numbers of
haplotypes to be valuable for further downstream analysis - value set by user.
EvolEcolGroup/mtDNAcombine documentation built on July 8, 2021, 10:30 p.m.
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Description Usage Arguments Details
View source: R/drop_low_sample_size.R
Description
drop_low_sample_size
Usage
1 | drop_low_sample_size(info_df, min_sample)
|
Arguments
info_df |
expected to be data frame of same structure as info_df built under earlier functions. Expected column names are 'spp_name', 'haplo_number', 'sequence_length', 'sample_size', 'max_step' |
min_sample |
minimum number of haplotypes before user considers data will be uninformative |
Details
Remove populations that have a sample size of less than a threshold value.
Find and drop from master list populations that have insufficient numbers of haplotypes to be valuable for further downstream analysis - value set by user.
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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