HI Guys,
I know that this forum is not for homework but I am trying to interpret R
output code.
I was just wondering if someone might be able to help.
I have been given the following.
For (X1,X2) distributed bivariate normal with parameters
mu1 = 5.8
mu2 = 5.3
sd1 = sd2 = 0.2
and p = 0.6
quot;)
Worked a real treat.
Thankyou all
Ben Bolker wrote:
>
>
>
> beetle2 wrote:
>>
>> For a homework question.
>> I was wondering if rcmdr has a function to plot a graph of a bivariate
>> function of X and Y.
>> I have a function with joint pdf
>
e probability", col = "red", line = 2.5)
>
> x0 <- c(0, sort(Sample))
> p0 <- 0:1000/1000
> lines(x0, p0, type = "S", col = "blue")
>
>
> Bill Venables
> http://www.cmis.csiro.au/bill.venables/
>
>
> -Original Message
Hi,
Is it possible to overlay a cummulative distribution function on a
histogram of a gamma distribuition.
I have a gamma function
Sample = rgamma(1000,2.5,.8)+1.5
hist(Sample)
regards
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2009, at 9:46 AM, Ben Bolker wrote:
>
>>
>>
>>
>> beetle2 wrote:
>>>
>>> For a homework question.
>>> I was wondering if rcmdr has a function to plot a graph of a
>>> bivariate
>>> function of X and Y.
>>> I have
For a homework question.
I was wondering if rcmdr has a function to plot a graph of a bivariate
function of X and Y.
I have a function with joint pdf
fX,Y(x,y) = x+y for 0 x <- seq(0,1,.001)
> y <- seq(0,1,.001)
> r = x+y
> plot(r)
but it seems to just add them together say .2+.2 .3+.3 not ot
Hi All,
Thank you for all your help.
In future I will state if it's homework related.
regards
Brendan
beetle2 wrote:
>
> Hi Guy's
> I was wondering if someone could point me in the right direction.
>
> dbinom(10,1,0.25)
>
> I am using dbinom(10,1,0.25) to
0.004
[1] 0
[1] 0
[1] 0
>
Thanks for pointing me to the rbinom() function
regards
Brendan
beetle2 wrote:
>
> Hi Guy's
> I was wondering if someone could point me in the right direction.
>
> dbinom(10,1,0.25)
>
> I am using dbinom(10,1,0.25) to c
I'm thinking I will just use:
results <- rbinom(1000, 10, .25)
d = sum(results == 0 )
df = (d/1000)
df
And do each individually
beetle2 wrote:
>
> Hi Guy's
> I was wondering if someone could point me in the right direction.
>
> dbinom(10,1,0.25)
>
&g
Sorry guys one quick question
I've graphed the histogram with
hist(rbinom(n = 1000, size = 10, prob = 0.25))
How to I sum the individual values 0 to 12?
regards
Brendan
beetle2 wrote:
>
> Hi Guy's
> I was wondering if someone could point me in the right direction.
>
>
prob = 0.25)
>
> in that case and compare the relative frequencies.
>
> Btw, there is a small chance of getting a 0. Are you sure the
> instructor (or whoever has issued the orders) wants only from 1:10?
>
> HTH!
> Ranjan
>
> On Fri, 17 Apr 2009 22:23:11 -0700 (
Not being entirely sure what you mean, I think
rbinom(1000, 10, .25)
may be what you want.
Hi,
Thanks for your reply.
It is close to that but I need to know the probabilty of how many judges
pick a certain brand.
Just say x= 6 judges pick brand A which has P=0.25.
Using R it would be:
> db
Hi Guy's
I was wondering if someone could point me in the right direction.
dbinom(10,1,0.25)
I am using dbinom(10,1,0.25) to calculate the probabilty of 10 judges
choosing a certain brand x times.
I was wondering how I would go about simulating 1000 trials of each x value
?
regards
Brendan
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