[R] Integrate(dnorm) with different mean and standard deviation help
Pascal Oettli
kridox at ymail.com
Tue Jul 24 04:48:32 CEST 2012
Hello,
Maybe the following could help:
> f <- function(x) dnorm(x, mean=2, sd=1)
> integrate(f, -1.96, 1.96)
0.4840091 with absolute error < 1.4e-12
HTH
Regards.
Le 24/07/2012 11:23, FJ M a écrit :
>
> I'm trying to provide different parameters to the integrate function for various probability functions. I'm using dnorm as the simplest example here. For instance integrate(dnorm, -1.96, 1.96) produces the correct answer for a normal distribution with mean 0 and standard deviation 1. I've tried two ways to use mean=2.0 and standard deviation 1, but with no luck. The examples follow.
>
>
>> integrate(dnorm, -1.96, 1.96)
> 0.9500042 with absolute error < 1e-11
>> mean = 2.0
>> sd = 1.0
>> integrate(dnorm, -1.96, 1.96)
> 0.9500042 with absolute error < 1e-11
>> integrate(dnorm(mean=2.0,sd=1.0), -1.96, 1.96)
> Error in .Internal(dnorm(x, mean, sd, log)) : 'x' is missing
> Calls: integrate -> match.fun -> dnorm
> Execution halted
>
> How do I change the built in mean=0 and standard deviation=1 for dnorm using integrate?
>
> Thanks,
>
> Frank
> Chicago, IL
> [[alternative HTML version deleted]]
>
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