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)]
ratio.number
If TRUE (default), then ratio
is taken as the ratio of number of points per unit
interval
plotvalues
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.
gpnames
Names of the two samples
cutoffs
logical vector, indicating whether density estimates
should be truncated below (lower=TRUE) or above (upper=TRUE)
bw
logical, indicates whether to overwrite with a gray
scale plot
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
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> library(DAAG)
Loading required package: lattice
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DAAG/overlapDensity.Rd_%03d_medium.png", width=480, height=480)
> ### Name: overlapDensity
> ### Title: Overlapping Density Plots
> ### Aliases: overlapDensity overlap.density
> ### Keywords: models
>
> ### ** Examples
>
> attach(two65)
> overlapDensity(ambient,heated)
[1] 228.7025 269.0000
> t.test(ambient,heated)
Welch Two Sample t-test
data: ambient and heated
t = -1.9895, df = 18.916, p-value = 0.0613
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-19.3108505 0.4926687
sample estimates:
mean of x mean of y
244.0909 253.5000
>
>
>
>
>
> dev.off()
null device
1
>
providing 
.