[R] graph

[David L Carlson]

You can do it, but mu1 has a much smaller variance and mu3 and mu4 are almost identical so they overplot.

> xy1 <- density(mu1)
> xy2 <- density(mu2)
> xy3 <- density(mu3)
> xy4 <- density(mu4)
> Density <- cbind(xy1$y, xy2$y, xy3$y, xy4$y)
> x <- cbind(xy1$x, xy2$x, xy3$x, xy4$x)
> matplot(x, Density, type="l")
> legend("topright", c("mu1", "mu2", "mu3", "mu4"), col=1:4, lty=1:4)

-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of IZHAK shabsogh
Sent: Thursday, June 26, 2014 1:47 AM
To: r-help at r-project.org
Subject: [R] graph

kindly guide me on how i can plot the following data on the same graph using the kernel density. i will like to use as to compare performance

mu1<-c(500.0035, 501.2213, 500.7532, 500.2622, 500.3391, 500.1618, 499.9511, 500.1843, 499.8945, 499.8467)
mu2<-c(498.9623, 504.7938, 506.8957, 495.6634, 506.2751, 503.4344, 503.9103, 512.3021,492.3065, 500.8908)
mu3<-c(498.9352, 501.3470, 506.7885, 497.3446, 505.6911, 500.0000, 503.9103, 512.0994,492.3065, 500.0001)
mu4<-c(498.5626, 501.3469, 506.7781, 497.3466, 505.6723, 500.0000, 503.9103, 512.0936,492.3065, 500.0000)
 

thanks
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