addlnorm {MQMF} | R Documentation |
addlnorm estimates a log-normal distribution from output of hist
Description
addlnorm estimates a log-normal distribution from the output of a histogram of a data set.
Usage
addlnorm(inhist, xdata, inc = 0.01)
Arguments
inhist |
is the output from a call to 'hist' (see examples) |
xdata |
is the data that is being plotted in the histogram. |
inc |
defaults to a value of 0.01; is the fine grain increment used to define the normal curve. The histogram breaks should be coarse grained relative to this. |
Value
a 4 x N matrix of x and y values to be used to plot the fitted normal probability density function.Combined with estimates of mean(log(indata)) and log(sd(indata))
Examples
oldpar <- par(no.readonly=TRUE)
egdata <- rlnorm(200,meanlog=0.075,sdlog=0.5)
outh <- hist(egdata,main="",col=2,breaks=seq(0,8,0.2))
ans <- addlnorm(outh,egdata)
lines(ans[,"x"],ans[,"y"],lwd=2,col=4)
par(oldpar)
[Package MQMF version 0.1.5 Index]