Plots fitted melting curves.
Usage
X.plot.meltcurves(
data = NULL,
fits = NULL,
samples = NA,
replicates = NA,
color.col = "Sample",
pointshape.col = "Replicate",
colors = "rainbow",
points = c(16, 17, 18, 8, 4, 3, 9, 10, 11, 12, 13, 14),
fit.length = 100,
pdf.export = TRUE,
pdf.folder = ".",
pdf.name = "MCcurves"
)Arguments
- data
Data frame or list of data frames: Scaled data with removed outliers and fitting statistics, ideally $data output from X.scale.meltcurves.
- fits
List containing all fit objects, ideally $fits output from X.meltcurve.fit. The list must be named and the names must correspond to id column values of the data. Alternatively, a list of such lists of same length as the lenght of the list of data.
- samples
Character vector: names of samples in the same order as the list of data. NA if only one data frame.
- replicates
Character vector: names of replicates in the same order as the list of data. NA if only one data frame.
- color.col
Character string: Which column of the data frame(s) should be used for color scaling?
- pointshape.col
Character string: Which column of the data frame(s) should be used for point shape definition?
- colors
Character vector: "rainbow" will plot curves from red to violet across sample. "distinct" will use preset distinct color scheme. User can also define a vector of colors.
- points
Integer vector: numbers that define point types used for plotting.
- fit.length
Integer: How many points should be used for fitting curves. Default is 100 which is sufficient for plotting.
- pdf.export
Logical: If TRUE (default), a pdf with all plots will be exported.
- pdf.folder
Character string: Name of the directory for pdf export. Default is the working directory.
- pdf.name
Character string: Name of the exported pdf file. Default is 'MCcurves'