Random Coeffecients Model
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Random Coeffecients Model



Dear ASREMLers,

Would someone please care to run their eye(s) over my code below ----- I am
fitting a full model of terms, hoping to be correctly including a random
slopes
and intercepts model, correlated for each unit.

At 18 (un-equally spaced) times, records were taken of the water usage of
plants in 48 pots (made up of 3 reps of 4 species by 2 water regimes by 2
fertilizer rates).  Since my time intervals are not consistent, I cannot see
how to use the example on pages 143/144  of the Oct 1998 manual.

Thanks for your time.
Cheers,  Terry 
========================================================
Bill Johnston's water use data: 4 sp X 2 Water X 2 Fert
# 18 times * 48 pots = 864 units; time 1 data (26 Sept) dropped
#
   species    4 !A   # Consol, 4650, Lucerne, Phalaris
   water      2 !A   # Low, High
   fertil     2 !A   # Low, High
   treat     16      # Factor coding for the above 3 treatments
   rep        3      # Factor for reps
   pot       48      # Factor for 3rep * 4 sp * 2 water * 2 fertilizer
   vtime        !-340.778 !/25.879   # Variate days {291...379}
   fdate     18 !A   # Factor of 18 dates: 18-Oct, 30-Oct, .......
   ftime     18      # Factor of 18 dates: 1,2,3,...,18
   usage             # cumulative water usage data
#
d:\1_data\johnston\wateruse\BJ_treat\wuetrial.dat !skip 1 !maxit 30
#
# Fit a random coefficients model
usage  ~ mu species*water*fertil ,
   vtime vtime.spe vtime.wat vtime.fer,
   vtime.spe.wat vtime.spe.fer vtime.wat.fer,
   vtime.spe.wat.fer,
   !r pot                  82.8914, # random intercepts for pots
   pot.vtime               15.8124, # random slopes for pots
   spl(vtime)               0.00001,
   spe.spl(vtime)           1.5492,
   wat.spl(vtime)          36.0471,
   fer.spl(vtime)           0.01632,
   spe.wat.spl(vtime)       0.07648,
   spe.fer.spl(vtime)       0.00001,
   wat.fer.spl(vtime)       0.009266,
   spe.wat.fer.spl(vtime)   0.00001,
   ftime                   17.0388,  # random lack of fit for time
   ftime.treat              0.062343,# departures from smoothness for treats
   pot.spl(vtime)           1.14104  # pick up curvature for each pot
        
0 0 1   # there is 1 G header line
pot 2   # define 2 variance structures for Pots
48 0 I  # independence between Pots
2 0 CORR .329 82.8914 15.8124 # but corr{intercept.slope} within Pots
====================================================================== 
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Terry Koen							EMail: 	koentb@ozemail.com.au
Research Centre						Phone: 	(02) 6342 1811 (w)
Dept Land and Water Conservation				(02) 6341 1368 (h)
PO Box 445, Cowra, NSW 2794,		Fax:	(02) 6342 4551
Australia
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