search for: leafbiom

Hi folks, I have 25 stand height observations over 7 years period and daily leafbiomass data during this period. I want to use the 25 plant height observations as inputs and predict the daily stand height during the 7 years. SH=matrix(data=NA , nrow = 2641, ncol = 1) for (i in 1:2641) { SH<- predict(lm(height~Date, data=Stand_Height)); dl=leafbiom$Date[i-1]; de=leafbiom...

Sorry for the confusion, here is the edited question. The data= Stand_Height (attached) is recorded from 12/1/2009 to 12/31/2015 (25 observations) and the other dataset (leafbiom) is recorded from 10/7/2009 to 12/29/2016 (daily observations). I want to use the 25 observations of stand height to predict the daily stand height from 10/7/2009 to 12/29/2016. The daily stand height will be multiplied by leaf biomass to produce a new variable. I agree that a loop is not needed,...

...Leaf biomass data is never used for anything. I would have thought that you would use leaf biomass as the predictor variable, not Date. - I'm not sure why you want the cumulative sum of stand height; that doesn't make sense to me. I'm guessing you want: height.model <- lm(height ~ leafbiomass, data = Stand_Height) pred.height <- predict(height.model, leafbiom) # not sure about the reasoning behind this SH <- cumsum(pred.height) You don't need a loop. Overwriting SH is the biggest R problem; the rest of my questions have to do with what your objective actually is, like wha...

...your procedure. Sarah On Fri, Jun 30, 2017 at 11:23 AM, Ahmed Attia <ahmedatia80 at gmail.com> wrote: > Sorry for the confusion, here is the edited question. > > The data= Stand_Height (attached) is recorded from 12/1/2009 to > 12/31/2015 (25 observations) and the other dataset (leafbiom) is > recorded from 10/7/2009 to 12/29/2016 (daily observations). > > I want to use the 25 observations of stand height to predict the daily > stand height from 10/7/2009 to 12/29/2016. The daily stand height will > be multiplied by leaf biomass to produce a new variable. > > I...