Usage
rquipu(data, a.subset = c("all"), ylim = c(50, 350), res = c(1500, 1200), dir.print = tempdir(), dir.logo = NA, col.node = c("red3", "green", "blue", "gray50"), col.marg = c("gray60", "black", "black"), species.name = NA, set.name = NA, img.format = c("screen", "jpeg", "jpg", "png"), ltr.size = 0.8, show.accs.total = TRUE, id.label = "Identifier", node.size = c(1.5, 1.2, 0.9, 0.6), grp.brks = c(0.01, 0.05, 0.1), obs.alls.frq = NULL, obs.alls.frq.ref = "dataset", layout = c("full", "no text"))
Arguments
data
a data.frame with minimal four columns:
accession_id, primer_name, marker_size, map_location;
alternatively,
a.subset
a vector of accession identifiers
ylim
the range of marker sizes (or alleles) in
base pair (bp) units
res
the resolution of the final image in pixels
(width, height)
dir.print
the directory to use for storing the
created images
dir.logo
the path to a logo to display on the
chart
col.node
colors for the chart elements
col.marg
colors for the chart margin elements
species.name
scientific name of the species of the
set of accessions
set.name
a name for the set of accessions
img.format
specify a format for the final chart
(jpeg or png)
show.accs.total
a logical value to show the number
of accessions from the dataset
id.label
label for identifier
node.size
size of circle diameter for allele
circles by frequency group
grp.brks
cut-off values between frequency groups;
must be three values between 0 and 1 and in ascending
order
obs.alls.frq
observed allele frequencies; format
three-column data frame with heads: Marker, Marker.Size,
Frequency.
obs.alls.frq.ref
a reference to the source of the
allele frequencies
layout
whether a full chart or one without text;
use 'full' or 'no text'.