Please guide me through to resolve the error message that I get
this is what i have done.
>x1<- rnorm(100,2,1)
>x1fitbeta<-fitdistr(x1,"beta")
Error in fitdistr(x1, "beta") : 'start' must be a named list
Yes, I do understand that sometime for the distribution to converge to the
given set of data, it requires initial parameters of the distribution, to
start off with. Hence, i tried this
>x1fitbeta<-fitdistr(x1,densfun=dbeta, start=list(shape1=2,shape2=3))
Error in optim(x = c(1.89074018737135, 1.52649293971978, 2.19950245230280,
:
initial value in 'vmmin' is not finite
I tried with "f" and "chi-square" what i did with "t". Please find below
the output.
> x1fitt<-fitdistr(x1,"t")
Error in fitdistr(x1, "t") : optimization failed
In addition: Warning messages:
1: In log(s) : NaNs produced
2: In log(s) : NaNs produced
3: In log(s) : NaNs produced
4: In log(s) : NaNs produced
5: In log(s) : NaNs produced
6: In log(s) : NaNs produced
> x1fitt<-fitdistr(x1,"t", df=1)
Warning messages:
1: In log(s) : NaNs produced
2: In log(s) : NaNs produced
> x1fitf<-fitdistr(x1,"f",start=list(df1=2,df2=3))
Warning message:
In df(x, df1, df2, log) : NaNs produced
> x1fitf
df1 df2
5.6733242 4.4962519
(1.3407776) (0.9016752)
>x1fitchi<-fitdistr(x1,"chi-squared",df=3)
Error in fitdistr(x1, "chi-squared", df = 3) :
'start' must be a named list
It is the same as what i gave for beta?!!
> x1fitbeta<-fitdistr(x1,"beta", start=list(shape1=2,shape2=3))
Error in optim(x = c(1.89074018737135, 1.52649293971978, 2.19950245230280,
:
initial value in 'vmmin' is not finite
What is the right syntax....why do I get error for only some, what are the
exceptions?
I dont know how rectify this error. please resolve
Thanks in advance.
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