R help - Sep 2009 - Fw: Re: Multiple Normal Curves

Sorry about the subject

--- On Thu, 24/9/09, KABELI MEFANE <kabelimefane@yahoo.co.uk> wrote:


From: KABELI MEFANE <kabelimefane@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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On 09/24/2009 08:57 PM, KABELI MEFANE wrote:
> Sorry about the subject
>
> --- On Thu, 24/9/09, KABELI MEFANE<kabelimefane at yahoo.co.uk> 
wrote:
>
>
> From: KABELI MEFANE<kabelimefane at yahoo.co.uk>
> Subject: Re: [R] Multiply Normal Curves
> To: R-help at 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.
>
>    
Hi Kabeli,
I think you want to get multiple histograms and normal curves on the 
same plot. You can do something like that if you get a table of 
frequencies for each of your three sets of values using "cut" or
"hist",
combine these vectors of frequencies into a matrix and pass this to 
barplot. Then draw your normal curves using "curve" on top of the 
grouped bars.

Jim