get_pca_outliers: Identify Outliers in PCA per group
In cmcouto-silva/gt: Facilities for essential tasks in R
Description
Usage
Arguments
Value
Author(s)
View source: R/get_pca_outliers.R
Description
Identify Outliers in PCA per group
Usage
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get_pca_outliers(
plt,
cols = c("IID", "Population"),
PCx = 2,
PCy = 1,
extreme = FALSE
)
Arguments
plt
Output from plink_pca() function.
cols
Character vector. Names from desired columns in plt$data object.
Default set to c("IID", "Population") so that no error occurs.
PCx
Integer scalar. PC from x axis.
PCy
Integer scalar. PC from x axis.
Value
List of data.table(s) with outlier individuals per population.
Author(s)
Cainã Max Couto-Silva
cmcouto-silva/gt documentation built on June 6, 2021, 7:14 p.m.
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Description Usage Arguments Value Author(s)
View source: R/get_pca_outliers.R
Description
Identify Outliers in PCA per group
Usage
1 2 3 4 5 6 7 | get_pca_outliers(
plt,
cols = c("IID", "Population"),
PCx = 2,
PCy = 1,
extreme = FALSE
)
|
Arguments
plt |
Output from plink_pca() function. |
cols |
Character vector. Names from desired columns in plt$data object. Default set to c("IID", "Population") so that no error occurs. |
PCx |
Integer scalar. PC from x axis. |
PCy |
Integer scalar. PC from x axis. |
Value
List of data.table(s) with outlier individuals per population.
Author(s)
Cainã Max Couto-Silva
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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