
The functions here can be used to customize upper and lower triangles in
correlation matrices. In particular panel.cor.res
provides correlation
coefficients (any alternative from cor
can be used) and p-values for correlation
tests. The function panel.lm
puts linear fitted lines from simple linear
regression in scatterplots. Note that the function panel.smooth
provides a
smoother fit.
panel.cor.res(x, y, digits = 2, meth = "pearson", cex.cor=1)
panel.lm(x, y, col = par("col"), bg = NA, pch = par("pch"), cex = 1,
col.line = 2,lty = par("lty"))
variable 1 in correlation
variable 2 in correlation
number of digits in text for panel.cor.res
type of correlation coefficient from panel.cor.res
, one of "pearson"
, "spearman"
, "kendall"
size of text in panel.lm
color of points in panel.lm
background color of points in panel.lm
type of symbols for points in panel.lm
symbol size in panel.lm
line type in panel.lm
color of lines in panel.lm
# NOT RUN {
data(asthma)
attach(asthma)
pairs(asthma,cex.labels=1,cex=.95,gap=.1,lower.panel=panel.cor.res,
upper.panel=panel.lm)
# }
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