plotCor: scatter plot with correlation statistics

In raim/segmenTools: Tools for Functional Genome Exploration

scatter plot with correlation statistics

Description

scatter plot with correlation statistics

Usage

plotCor(
  x,
  y,
  outliers,
  cor.method = c("pearson", "kendall", "spearman"),
  line.methods = c("ols", "tls"),
  na.rm = TRUE,
  circular = FALSE,
  cor.legend = TRUE,
  line.col = c(1, 2),
  pch = 20,
  cex = 1,
  legpos,
  signif = 1,
  round = 1,
  density = TRUE,
  ...
)

Arguments

x	the x coordinates of the points in the plot.
y	the y coordinates of the points in the plot.
outliers	vector of indices or logical vector of x,y values to exclude from correlation analysis.
cor.method	method to calculate correlation and p-value via cor.test.
line.methods	regression line methods, where "ols" is a linear regression (ordinary least squares) with R's lm and "tls" (total least squares) is calculated manually via eigen and cov.
na.rm	remove NA values from x and y.
circular	NOT fully implement, treat data as circular.
cor.legend	plot correlation, p-value and slope (TLS) as a legend.
line.col	colors of the regression lines drawn with line.methods.
pch	point symbols.
cex	point size.
legpos	position of the legend.
signif	number of digits to be shown for p-values in the plot legend (argument digits to signif.
round	number of decimal places to be shown for correlation values in the plot legend (argument digits to round.
density	indicate local point densities by using dense2d instead of the base plot function.
...	further arguments to the plotting function; plot or, if density=TRUE, dense2d.

raim/segmenTools documentation built on April 30, 2024, 4:53 a.m.