find_top_consensus: Find the top Consensus SNP
In RajLabMSSM/echodata: echoverse module: Fine-mapping data access and formatting
View source: R/find_top_consensus.R
find_top_consensus R Documentation
Find the top Consensus SNP
Description
Identify the n_top Consensus SNP(s) per Locus,
defined as the Consensus SNPs with the highest mean PP
across all fine-mapping tools used.
Usage
find_top_consensus(dat, n_top = 1, grouping_vars = c("Locus"))
Arguments
dat
Fine-mapping results data.
n_top
Number of top SNPs per locus to include.
grouping_vars
Variables to group by when selecting top N rows.
Examples
dat <- echodata::find_top_consensus(dat = echodata::BST1)
RajLabMSSM/echodata documentation built on Nov. 21, 2023, 8 a.m.
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View source: R/find_top_consensus.R
| find_top_consensus | R Documentation |
Find the top Consensus SNP
Description
Identify the n_top Consensus SNP(s) per Locus,
defined as the Consensus SNPs with the highest mean PP
across all fine-mapping tools used.
Usage
find_top_consensus(dat, n_top = 1, grouping_vars = c("Locus"))
Arguments
dat |
Fine-mapping results data. |
n_top |
Number of top SNPs per locus to include. |
grouping_vars |
Variables to group by when selecting top N rows. |
Examples
dat <- echodata::find_top_consensus(dat = echodata::BST1)
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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