Densities for two distinct samples are estimated and plotted.
overlapDensity(x0, x1, ratio = c(0.05, 20), ratio.number = FALSE,
plotvalues = c("Density", "Numbers"), gpnames = c("Control", "Treatment"),
cutoffs = c(lower = TRUE, upper = TRUE), bw = FALSE,
xlab = "Score", ylab = NULL,
col = 1:2, lty = 1:2, lwd = c(1, 1))overlap.density(x0, x1, ratio = c(0.05, 20), ratio.number = FALSE,
plotvalues = c("Density", "Numbers"), gpnames = c("Control", "Treatment"),
cutoffs = c(lower = TRUE, upper = TRUE), bw = FALSE,
xlab = "Score", ylab = NULL,
col = 1:2, lty = 1:2, lwd = c(1, 1))
control group measurements
treatment group measurements
if not NULL, the range within which the relative
number per unit interval (ratio.number=TRUE) or
relative probability density (ratio.number=FALSE)
of observations from the two groups are required to lie
will be used to determine lower and upper bounds on the
values of x0 and x1.
[The relative numbers at any point are estimated from
(density1*n1)/(density0*x0)]
If TRUE (default), then ratio
is taken as the ratio of number of points per unit
interval
If set to Number then the y-axis
scale is chosen so that total area undere the curve is equal
to the sample size; otherwise (plotvalues="Density")
total area under each cueve is 1. Any other setting does
not give a plot.
Names of the two samples
logical vector, indicating whether density estimates should be truncated below (lower=TRUE) or above (upper=TRUE)
logical, indicates whether to overwrite with a gray scale plot
Label for x-axis
Label for y-axis
standard color parameter
standard line type preference
standard line width preference
t.test
# NOT RUN {
attach(two65)
overlapDensity(ambient,heated)
t.test(ambient,heated)
# }
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