Displaying 2 results from an estimated 2 matches for "treatmentcontrol".
2005 Mar 09
1
multiple comparisons for lme using multcomp
...1.546657 -0.1648540 -0.4895219 -0.6383375 -0.7066632
c 1.546664 -0.1648540 -0.4895219 -0.6383375 -0.7066632
d 1.546643 -0.1648540 -0.4895219 -0.6383375 -0.7066632
…
s 1.546667 -0.1648540 -0.4895219 -0.6383375 -0.7066632
treatmentcontrol
a 0.06
b 0.06
c 0.06
d 0.06
…
s 0.06
> # second way to do could be to get a vector for lm1 coefficient removing
intercept(is it correct?)
> vect<-as.numeric(coef(lm1)[1,])
> vect
[1] 1.5466787 -0.1648540 -0.4895219 -0.638...
2005 Mar 17
2
Repeated Measures, groupedData and lme
...hown differences between the
treatments can be attributed to the Magnesium, Potassium and organic
matter content of the soil, with Magnesium being the primary separating
variable.
I am looking at soil mineral data were collected : 99, 02, 04.
In the experiment, there are 19 different treatments (treatmentcontrol,
treatment6TFYM, treatment 12TFYM etc), which are replicated in 3
blocks.
For the magnesium soil data, I have created the following groupedData
object:
magnesium<-groupedData(Mg~year|treatment, inner=~block)
Where mg=magnesium Kg/ha
As it is a repeated measures I was going to use an lme....