I tried logspline function using a lower bound 0 for my data, it works
like a charm. When the I changed the xlim only positive part, the
vertical line was also gone. That's exactly what I expected.
Thanks.
-JJ
Greg Snow wrote:
You might want to use the logspline package instead of the density
help-boun...@r-project.org] On
Behalf Of Greg Snow
Sent: Wednesday, April 27, 2011 1:55 PM
To: Juanjuan Chai; r-help@r-project.org
Subject: Re: [R] density plot of simulated exponential distributed data
You might want to use the logspline package instead of the density function, it
allow
You might want to use the logspline package instead of the density function, it
allows you to specify bounds on a distribution.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
> -Original Message-
> From: r-help-boun...@
Hi:
Try this (and note the use of vectorization rather than a loop):
rate <- 3
dta <- -log(1 - runif(1000))/rate
hist(dta, nclass = 30, probability = TRUE)
x <- c(0.001, seq(0, 3, by = 0.01))
lines(x, dexp(x, rate = 3))
This is the difference in timings between the vectorized and iterative
metho
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