Hi, say there are x and y given as:
level x y
3 0.112 0.012
2 0.432 0.111
1 0.415 0.053
3 0.38 0.005
2 0.607 0.01
1 NA NA
3 0.572 0.01
2 0.697 0.039
1 0.377 0.006
3 NA NA
2 0.571 0.003
1 0.646 0.014
3 0.063 0.024
2 0.115 0.017
1 0.035 0.042
3 0.426 0
I did the following plot:
plot(y ~ x, pch=c(1,2,3), col=c('red', 'green', 'blue'));
abline(lm(y ~ x), col='red');
lines(lowess.na(y,x), col='blue')
abline(lm(y~x),col='red')
legend('topright',c('Top','Middle','Bottom'), col=c('red', 'green',
'blue'),pch=c(1,2,3))
legend('right',c('linear','LOWESS'), col=c('red','blue'),lty=c(1,2))
where:
lowess.na <- function(x, y) { #do lowess with missing data
x1 <- subset(x,(!is.na(x)) &(!is.na(y)))
y1 <- subset(y, (!is.na(x)) &(!is.na(y)))
lowess.na <- lowess(x1~y1)
}
I want ONE legend to involve points (empirical) and lines from linear and
lowess fit together. I guess it is simple but.....
best, robert
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