plotXYCurve: Plot the relationship between two variables as a smooth curve

In HenrikBengtsson/aroma.light-BioC_release: Light-Weight Methods for Normalization and Visualization of Microarray Data using Only Basic R Data Types

Description

Plot the relationship between two variables as a smooth curve.

Usage

## S3 method for class 'numeric'
plotXYCurve(x, y, col=1L, lwd=2, dlwd=1, dcol=NA, xlim=NULL, ylim=xlim, xlab=NULL,
  ylab=NULL, curveFit=smooth.spline, ..., add=FALSE)
## S3 method for class 'matrix'
plotXYCurve(X, Y, col=seq(length = nrow(X)), lwd=2, dlwd=1, dcol=NA, xlim=NULL,
  ylim=xlim, xlab=NULL, ylab=NULL, curveFit=smooth.spline, ..., add=FALSE)

Arguments

x, y, X, Y	Two numeric vectors of length N for one curve (K=1), or two numeric NxK matrix:es for K curves.
col	The color of each curve. Either a scalar specifying the same value of all curves, or a vector of K curve-specific values.
lwd	The line width of each curve. Either a scalar specifying the same value of all curves, or a vector of K curve-specific values.
dlwd	The width of each density curve.
dcol	The fill color of the interior of each density curve.
xlim, ylim	The x and y plotting limits.
xlab, ylab	The x and y labels.
curveFit	The function used to fit each curve. The two first arguments of the function must take x and y, and the function must return a list with fitted elements x and y.
...	Additional arguments passed to lines used to draw each curve.
add	If TRUE, the graph is added to the current plot, otherwise a new plot is created.

Value

Returns nothing.

Missing values

Data points (x,y) with non-finite values are excluded.

Author(s)

Henrik Bengtsson

HenrikBengtsson/aroma.light-BioC_release documentation built on May 7, 2019, 1:55 a.m.