View source: R/gl.report.reproducibility.r
gl.report.reproducibility | R Documentation |
SNP datasets generated by DArT have an index, RepAvg, generated by reproducing the data independently for 30 of alleles that give a repeatable result, averaged over both alleles for each locus.
In the case of fragment presence/absence data (SilicoDArT), repeatability is the percentage of scores that are repeated in the technical replicate dataset.
gl.report.reproducibility(
x,
plot.out = TRUE,
plot_theme = theme_dartR(),
plot_colors = two_colors,
save2tmp = FALSE,
verbose = NULL
)
x |
Name of the genlight object containing the SNP or presence/absence (SilicoDArT) data [required]. |
plot.out |
If TRUE, displays a plot to guide the decision on a filter threshold [default TRUE]. |
plot_theme |
Theme for the plot. See Details for options [default theme_dartR()]. |
plot_colors |
List of two color names for the borders and fill of the plots [default two_colors]. |
save2tmp |
If TRUE, saves any ggplots and listings to the session temporary directory (tempdir) [default FALSE]. |
verbose |
Verbosity: 0, silent or fatal errors; 1, begin and end; 2, progress log; 3, progress and results summary; 5, full report [default 2, unless specified using gl.set.verbosity]. |
The function displays a table of minimum, maximum, mean and quantiles for
repeatbility against possible thresholds that might subsequently be
specified in gl.filter.reproducibility
.
If plot.out=TRUE, display also includes a boxplot and a histogram to guide in the selection of a threshold for filtering on repeatability.
If save2tmp=TRUE, ggplots and relevant tabulations are saved to the session's temp directory (tempdir)
For examples of themes, see:
An unaltered genlight object
Custodian: Arthur Georges – Post to https://groups.google.com/d/forum/dartr
gl.filter.reproducibility
Other report functions:
gl.report.bases()
,
gl.report.callrate()
,
gl.report.diversity()
,
gl.report.hamming()
,
gl.report.heterozygosity()
,
gl.report.hwe()
,
gl.report.ld.map()
,
gl.report.locmetric()
,
gl.report.maf()
,
gl.report.monomorphs()
,
gl.report.overshoot()
,
gl.report.parent.offspring()
,
gl.report.pa()
,
gl.report.rdepth()
,
gl.report.secondaries()
,
gl.report.sexlinked()
,
gl.report.taglength()
# SNP data
out <- gl.report.reproducibility(testset.gl)
# Tag P/A data
out <- gl.report.reproducibility(testset.gs)
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