I have datasets containing a number of pairs each pair of variable
length with longest set governing the column length.  They are beach
cross sections and I am trying examine the change specific contours.  I
can do this by individually working each pair but because of the number
of sets would like to automate.

I have compiled the following

h=read.csv("testxsec.csv",header=T)
for(i in seq(1,(ncol(h)-1),by=2)){
	s=seq(from=7,to=9,by=0.25)
	d=data.frame(h[,i:(i+1)])
	f=approx(x=d[,1],y=d[,2], xout=s, method="linear",
        		yleft=0.125, yright=0.125, 
		rule = 2, f = 0, ties = mean,na.omit)
}

I cannot get the calculation to give me a set of approximations.

I am expecting that for each of the values of "s" I will have an
approximation for each x/y pair in the set.

Any help appreciated greatly

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