| admix_subset | R Documentation |
Subset function optimized for admixture data. Filters for the percentages of any number of ancestry (K) columns and prints progress. Also allows passing additional arguments to filter columns with.
admix_subset( data, anc = NULL, pct = NULL, comparison = "greater", quiet = FALSE, ... )
data |
Data frame containing the admixture data. |
anc |
Vector of ancestry column names to use for pairwise subsetting with percentage vector. Must be of same length as the supplied percentage vector. |
pct |
Vector of percentage values to use for pairwise subsetting with ancestry column name vector. Only ancestries with values above the percentage are kept. |
comparison |
What comparison operator to use for the subsetting. Can either be "greater" or "less"; default is "greater". Also accepts "gt", "lt", ">" and "<". |
quiet |
Whether to print progress or not; default is "FALSE". |
... |
Variable number of additional vectors for subsetting. Looking at the column with argument name, keeps only those observations with values which are elements of the argument vector. |
A subset of the provided data frame.
# load simulated admixture data
data("xadmixture")
# keep only observations with K1 > 0.1 and K2 > 0.01
subset1 <- admix_subset(xadmixture,
anc = c("K1", "K2"),
pct = c(0.1, 0.01))
# keep only observations with K2 < 0.4 and K3 < 0.1
subset2 <- admix_subset(xadmixture,
anc = c("K2", "K3"),
pct = c(0.4, 0.1),
comparison = "less")
# keep only observations with values "GBR" or "FRA" in column
# "country" and values "lorem" or "dolor" in column "species"
subset3 <- admix_subset(xadmixture,
country = c("GBR", "FRA"),
species = c("lorem", "dolor"))
# keep only observations with K1 > 0.1 and K4 < 0.3,
# without printing progress; subsets can be chained
# using the pipe operator from package `magrittr`
library(magrittr)
subset4 <- admix_subset(xadmixture,
anc = "K1",
pct = 0.1,
quiet = TRUE) %>%
admix_subset(anc = "K4",
pct = 0.3,
comparison = "less",
quiet = TRUE)
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