Answers for Question #2:
> (pipo.cl<-confint(mod.type)[1,])
2.5 % 97.5 %
1575.564 1864.473
> (abla.cl<-confint(mod.type)[1,])
2.5 % 97.5 %
1261.429 1474.411
> (jusc.cl<-confint(mod.type)[1,])
2.5 % 97.5 %
1261.429 1474.411
> (pied.cl<-confint(mod.type)[1,])
2.5 % 97.5 %
1261.429 1474.411
> (cegi.cl<-confint(mod.type)[1,])
2.5 % 97.5 %
1261.429 1474.411
The 95% confidence intervals for the
- For pipo.cl: [1575.564, 1864.473]
- For abla.cl: [1261.429, 1474.411]
- For jusc.cl: [1261.429, 1474.411]
- For pied.cl: [1261.429, 1474.411]
- For cegi.cl: [1261.429, 1474.411]
The data for this analysis was created by randomly selecting points (n=100 for most species) using GIS maps of the distribution of the species. These were then intersected with digital elevation models and the mean annual temperature (Bio_1) layer from WorldClim (http://www.worldclim.org/). We are looking at five species: PIPO (Ponderosa pine, Pinus ponderosa), ABLA (Subalpine fir, Abies lasiocarpa), JUSC (Rocky Mountain juniper, Juniperus scopulorum), PIED (Piñon pine, Pinus edulis), and CAGI (Saguaro, Carnegiea gigantea).
- Based on your answers in #2, which species differ from subalpine fir in mean elevation? From piñon?
to generate a solution
a solution
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