[R] Help interpreting density().

Mark Difford mark_difford at yahoo.co.uk
Tue Jul 29 08:21:37 CEST 2008


Hi Kevin,

>> The documentation indicates that the bw is essentially the sd.
>> > d <- density(rnorm(1000))

Not so. The documentation states that the following about "bw": "The kernels
are scaled such that this is the standard deviation of the smoothing
kernel...," which is a very different thing.

The default bandwidth used by density is ?bw.nrd0. Read that documentation
carefully and all might be clear.

HTH, Mark.


rkevinburton wrote:
> 
> I issue the following:
> 
>> d <- density(rnorm(1000))
>> d
> 
> and get:
> 
> Call:
>         density.default(x = rnorm(1000))
> 
> Data: rnorm(1000) (1000 obs.);  Bandwidth 'bw' = 0.2235
> 
>        x                 y            
>  Min.   :-3.5157   Min.   :2.416e-05  
>  1st Qu.:-1.6892   1st Qu.:1.129e-02  
>  Median : 0.1373   Median :7.267e-02  
>  Mean   : 0.1373   Mean   :1.367e-01  
>  3rd Qu.: 1.9639   3rd Qu.:2.693e-01  
>  Max.   : 3.7904   Max.   :4.014e-01  
> 
> The documentation indicates that the bw is essentially the sd. Yet I have
> specified an sd of 1? How am I to interpret the ranges of the values? x
> ranges almost from -4 to +4 and y ranges from 0 to 0.4. The mean x is .1
> which isn't too awfully close to what I would expect (0.0). Then there is:
> 
>> d <- density(rpois(1000,0))
>> d
> 
> Call:
>         density.default(x = rpois(1000, 0))
> 
> Data: rpois(1000, 0) (1000 obs.);       Bandwidth 'bw' = 0.2261
> 
>        x                 y          
>  Min.   :-0.6782   Min.   :0.01979  
>  1st Qu.:-0.3391   1st Qu.:0.14073  
>  Median : 0.0000   Median :0.57178  
>  Mean   : 0.0000   Mean   :0.73454  
>  3rd Qu.: 0.3391   3rd Qu.:1.32830  
>  Max.   : 0.6782   Max.   :1.76436  
> 
> Here I am getting the mean that I expect from a Poisson distribuition but
> y ranges from 0 to 1.75. Again I am not sure what these numbers mean. How
> can I map the output to the standard distirbution description parameters?
> 
> Thank you.
> 
> Kevin
> 
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> 
> 

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