On 18.09.2014 08:22, Hanze Zhang wrote:
Hi, guys,
I am a new user for package R2winbugs. When I run the code a=bugs(...), an
error message always comes out, see below:
Error in file(con, "wb") : cannot open the connection
In addition: Warning messages:
1: In file.create(to[okay]) :
cannot
On Sep 19, 2014, at 1:55 PM, nebulo help wrote:
> Dear all,
>
> I have a data.frame xy which I am plotting like in the code below (provided
> is a small data sample with dummy data that should work).
>
> Is there a way how I could convert my xx and yy in the xy plot to a points
> comman
On Fri, Sep 19, 2014 at 10:07 AM, Stephen HK Wong wrote:
> Thanks Henrick. Seems it fits my needs. One my question is the argument,
> length.out=0.10*n, is it "randomly" taking out 10% ? I found it basically
> takes every 10th row if I put length.out=0.1*n, and every 100th row if I put
> length
You can work around this issue by matching the types of the the 'x'
and 'levels' arguments to factor():
> factor(30, as.numeric(29:31)) # both are floating
point ('numeric')
[1] 3e+05
Levels: 29 3e+05 31
> factor(as.integer(30), 29:31) # both are integer
[1
Evan Cooch gmail.com> writes:
>
> You could also use Rvmmin
> > that has bounds, or nmkb from dfoptim (though you
> cannot start on bounds).
> >
>
> One 'negative' for dfoptim is that is doesn't automatically generate the
> Hessian (as far as I can tell). Rather nice to be able to do so for
I would say having 30 levels is a bad idea... You should be re-thinking
your analysis.
If you are still convinced that this is necessary, then do it right:
factor(30L, levels=1:30)
---
Jeff Newmiller
In R:
> factor(30, levels=1:30)
[1]
30 Levels: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 ...
30
The NA above is undesirable in my view, because 30 is in 1:30.
I have just got bitten by it.
I have figured out why it happens. The results of 'as.charac
Hello,
Your data.frame only has 2 columns, x and y. The rest are attributes of
the column y. To access those attributes you can use something like
attr(fxmale, "covariates") # This is the one you want
attr(fxmale, "meanSD")
attr(fxmale, "boundingbox")
and save them in other csv files (most p
I have the datafram like "fxmale"
head(fxmale)
x y D.fx D.ncD.sum1 445350
2463450 1.046935e-06 0.0002627856 0.00026383262 445350 2463950
1.314861e-06 0.0002618268 0.00026314163 445350 2464450 1.435987e-06
0.0002627193 0.00026415534 445350 2464950 1.362894e-06 0
9 matches
Mail list logo