Sorry about the subject
--- On Thu, 24/9/09, KABELI MEFANE <kabelimef...@yahoo.co.uk> wrote:
From: KABELI MEFANE <kabelimef...@yahoo.co.uk>
Subject: Re: [R] Multiply Normal Curves
To: R-help@r-project.org
Date: Thursday, 24 September, 2009, 11:48 AM
R -helpers
i have been trying to do this problem without must success,i managed to do a
graph for x, but it is not what i want to define,(i want to specify number of
observations as well). I have also been able to do simple rendom sample.
data.frame(ID=c(1,2,3),mu=c(10000,34000,50000),sigma=c(2000,3000,5000))
curve(dnorm(x,mean=parms$mu[1],sd=parms$sigma[1]),from=2000,
to=80000, ylab="density", col="red")
curve(dnorm(x,mean=parms$mu[2],sd=parms$sigma[2]),from=1000,
to=80000, ylab="density", col="blue", add=TRUE)
curve(dnorm(x,mean=parms$mu[3],sd=parms$sigma[3]),from=1000,
to=80000, ylab="density", col="forestgreen", add=TRUE)
###
R-helpers
I have been learning a little bit of R. I am simulating and i want to draw a
normal curve for all my variables so that i will see the overlaps and reduce
them, after that i want to draw a gragh of all the values that are in the data
frame to see if it follows a normal distribution also. Lastly i will try to
sample from this data. Please help and make suggestions.
#My original codes
#code for dataframe
Hypermarket <- matrix(rnorm(100, mean=50000, sd=5000))
Supermarket <- matrix(rnorm(400, mean=34000, sd=3000))
Minimarket <- matrix(rnorm(1000, mean=10000,sd=2000))
Cornershop <- matrix(rnorm(1500, mean=2500, sd=500))
Spazashop <- matrix(rnorm(2000, mean=1000, sd=250))
dat=data.frame(type=c(rep("Hypermarket",100), rep("Supermarket",400),
rep("Minimarket",1000),rep("Cornershop",1500), rep("Spazashop",2000)),
value=c(Hypermarket, Supermarket, Minimarket, Cornershop,Spazashop))
dat
#code for histogram of Hypermarket(Please suggest something simple )
hist(Hypermarket, breaks=seq(30000, 65000, 1000), freq=F)
x<- seq(30000, 65000, 500)
lines(x, dnorm(x, 50000, 5000))
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
