gl.smearplot | R Documentation |
Each locus is color coded for scores of 0, 1, 2 and NA for SNP data and 0, 1 and NA for presence/absence (SilicoDArT) data. Individual labels can be added and individuals can be grouped by population.
Plot may become cluttered if ind_labels If there are too many individuals, it is best to use ind_labels_size = 0.
gl.smearplot(
x,
ind_labels = FALSE,
group_pop = FALSE,
ind_labels_size = 10,
plot_colors = NULL,
posi = "bottom",
save2tmp = FALSE,
verbose = NULL
)
x |
Name of the genlight object containing the SNP or presence/absence (SilicoDArT) data [required]. |
ind_labels |
If TRUE, individuals are labelled with indNames(x) [default FALSE]. |
group_pop |
If ind_labels is TRUE, group by population [default TRUE]. |
ind_labels_size |
Size of the individual labels [default 10]. |
plot_colors |
Vector with four color names for homozygotes for the reference allele, heterozygotes, homozygotes for the alternative allele and for missing values (NA), e.g. four_colours [default NULL]. Can be set to "hetonly", which defines colors to only show heterozygotes in the genlight object |
posi |
Position of the legend: “left”, “top”, “right”, “bottom” or 'none' [default = 'bottom']. |
save2tmp |
If TRUE, saves plot 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 NULL]. |
Returns unaltered genlight object
Custodian: Luis Mijangos – Post to https://groups.google.com/d/forum/dartr
Other Exploration/visualisation functions:
gl.pcoa.plot()
,
gl.select.colors()
,
gl.select.shapes()
gl.smearplot(testset.gl,ind_labels=FALSE)
gl.smearplot(testset.gs[1:10,],ind_labels=TRUE)
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