On Wed, Apr 18, 2012 at 07:15:45AM -0700, uday wrote:
> hi Petr ,
> Thanks for replay and sorry for typo mistake
> approx(pres, sci.pre) its nothing but approx(pre2, pre1).
>
> so for more simplicity
> x <- c(10.34615 , 52.02116, 146.17357, 243.28644, 347.41504, 431.67105,
> 521.4
Your problem is that length(x) != length(y)
approx uses linear interpolation but there's no way to make sense of
that if you can't match up the x and y coordinates -- and you can't
match up the x and y coordinates if there aren't the same number of
them.
Michael
On Wed, Apr 18, 2012 at 10:15 AM,
hi Petr ,
Thanks for replay and sorry for typo mistake
approx(pres, sci.pre) its nothing but approx(pre2, pre1).
so for more simplicity
x <- c(10.34615 , 52.02116, 146.17357, 243.28644, 347.41504, 431.67105,
521.42712, 629.00446 ,729.95941, 827.86279, 921.55078,
956.6)
y <- c(
On Wed, Apr 18, 2012 at 03:55:07AM -0700, uday wrote:
> This moment I got stuck with one interpolation issue
> the sample data which I have is as follows
>
> pre1 <- c(10.34615 , 52.02116, 146.17357, 243.28644, 347.41504, 431.67105,
> 521.42712, 629.00446 ,729.95941,82
This moment I got stuck with one interpolation issue
the sample data which I have is as follows
pre1 <- c(10.34615 , 52.02116, 146.17357, 243.28644, 347.41504, 431.67105,
521.42712, 629.00446 ,729.95941,827.86279,
921.55078, 956.6)
pre2 <- c( 983.4477692, 973.619
5 matches
Mail list logo