> reg.len <- lm(chao1.ave ~ lg.std.len, b.div) # b.div is my data frame imported from a CSV file
> reg.len
Call:
lm(formula = chao1.ave ~ lg.std.len, data = b.div)
Coefficients:
(Intercept) lg.std.len
282.4 -115.7
> newx <- seq(0.6, 1.4, 0.01)
> prd.len <- predict(reg.len, newdata=data.frame(x=newx), interval="confidence", level=0.90, type="response")
Error in eval(expr, envir, enclos) : object 'lg.std.len' not found
I've tried doing the lm like this: lm(b.div$chao1.ave ~ b.div$lg.std.len)
, but then, predict()
gives a warnings that the newdata and variables are different lengths. So, I tried the way above, and now predict()
gives an error saying it doesn't recognize the object. How to fix, please?