View source: R/PlotFunctions.R
boxplotGBSR | R Documentation |
Draw boxplots of specified statistics
boxplotGBSR(
x,
stats = "missing",
target = c("marker", "sample"),
color = c(Marker = "darkblue", Sample = "darkblue"),
fill = c(Marker = "skyblue", Sample = "skyblue")
)
x |
A GbsrGenotypeData object. |
stats |
A string to specify statistics to be drawn. |
target |
Either or both of "marker" and "sample", e.g. |
color |
A named vector "Marker" and "Sample" to specify border color of bins in the histograms. |
fill |
A named vector "Marker" and "Sample" to specify fill color of bins in the histograms. |
You can draw boxplots of several summary statistics of genotype counts and read counts per sample and per marker. The "stats" argument can take the following values:
Proportion of missing genotype calls.
Proportion of heterozygote calls.
Reference allele frequency.
Total read counts.
Reference allele read counts.
Alternative allele read counts.
Reference allele read frequency.
Mean of reference allele read counts.
Standard deviation of reference allele read counts.
Quantile of reference allele read counts.
Mean of alternative allele read counts.
Standard deviation of alternative allele read counts.
Quantile of alternative allele read counts.
Mapping quality.
Phred-scaled p-value (strand bias)
Variant Quality by Depth
Symmetric Odds Ratio (strand bias)
Alt vs. Ref read mapping qualities
Alt vs. Ref read position bias
Alt Vs. Ref base qualities
To draw boxplots for "missing", "het", "raf", you need to run
countGenotype()
first to obtain statistics. Similary, "dp",
"ad_ref", "ad_alt", "rrf" requires values obtained via countRead()
.
"mq", "fs", "qd", "sor", "mqranksum", "readposranksum",
and "baseqranksum" only work with target = "marker"
, if your data
contains those values supplied via SNP calling tools like
GATK.
A ggplot object.
# Load data in the GDS file and instantiate a [GbsrGenotypeData] object.
gds_fn <- system.file("extdata", "sample.gds", package = "GBScleanR")
gds <- loadGDS(gds_fn)
# Summarize genotype count information to be used in `boxplotGBSR()`
gds <- countGenotype(gds)
boxplotGBSR(gds, stats = "missing")
# Close the connection to the GDS file
closeGDS(gds)
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