Dear s-plus users,
In a lme-model, I want to examine the effect of two factors, here ENTRADA (15
levels) and LOCALIDAD (2 levels)
model.lme <- lme(data = bcar, random = ~1| PLANTA/CLON, fixed = bcar ~
ENTRADA * LOCALIDAD, na.action = na.omit)
the summary function yields the following model parameters
Fixed effects: BCAR.NORM ~ ENTRADA * LOCALIDAD
Value Std.Error DF t-value p-value
(Intercept) 1.305318 0.0840891 1170 15.52305 <.0001
ENTRADACAMBRIA -0.020988 0.1179259 104 -0.17797 0.8591
ENTRADAGEVORA -0.802561 0.1187182 104 -6.76022 <.0001
ENTRADAGUA003 1.396667 0.1166018 104 11.97809 <.0001
ENTRADALA1563 0.263179 0.1181096 104 2.22826 0.0280
ENTRADALA3538 1.951372 0.1263312 104 15.44648 <.0001
ENTRADANE1 0.396940 0.1190525 104 3.33416 0.0012
ENTRADAUPV16898 0.391879 0.1179579 104 3.32220 0.0012
ENTRADAUPV16902 -0.432266 0.1203037 104 -3.59312 0.0005
ENTRADAUPV16947 0.481978 0.1206110 104 3.99614 0.0001
ENTRADAUPV16954 1.234451 0.1285906 104 9.59986 <.0001
ENTRADAUPV16967 1.050678 0.1167786 104 8.99717 <.0001
ENTRADAUPV16985 0.301354 0.1256984 104 2.39744 0.0183
ENTRADAV-L-142A -0.592131 0.1186330 104 -4.99128 <.0001
ENTRADAV-L-142R 0.692584 0.1170175 104 5.91864 <.0001
LOCALIDAD -0.578801 0.0777274 1170 -7.44655 <.0001
ENTRADACAMBRIALOCALIDAD 0.184315 0.1050188 1170 1.75506 0.0795
ENTRADAGEVORALOCALIDAD 0.630542 0.1056426 1170 5.96863 <.0001
ENTRADAGUA003LOCALIDAD 0.390475 0.1029082 1170 3.79441 0.0002
ENTRADALA1563LOCALIDAD 0.133794 0.1043737 1170 1.28187 0.2001
ENTRADALA3538LOCALIDAD -0.038453 0.1114450 1170 -0.34504 0.7301
ENTRADANE1LOCALIDAD 0.262896 0.1069907 1170 2.45718 0.0141
ENTRADAUPV16898LOCALIDAD 0.021015 0.1042021 1170 0.20168 0.8402
ENTRADAUPV16902LOCALIDAD 0.447619 0.1083709 1170 4.13044 <.0001
ENTRADAUPV16947LOCALIDAD 0.483076 0.1397417 1170 3.45692 0.0006
ENTRADAUPV16954LOCALIDAD -0.269243 0.1198890 1170 -2.24577 0.0249
ENTRADAUPV16967LOCALIDAD 0.510092 0.1203042 1170 4.24002 <.0001
ENTRADAUPV16985LOCALIDAD -0.185181 0.1263372 1170 -1.46576 0.1430
ENTRADAV-L-142ALOCALIDAD 0.395328 0.1063981 1170 3.71555 0.0002
ENTRADAV-L-142RLOCALIDAD 0.370734 0.1034013 1170 3.58540 0.0004
I have used the contrast treatment, as you recommend in other mails, but what I
want to obtain is a estimation of fixed effects for each level of each factor,
included the interaction of both factors.
I have read some documentation, but it don't explain the exact meaning of all
coefficients I obtained.
For example the intercept is the estimated value of the first level of ENTRADA
at first level of LOCALIDAD, these values are only estimates of fixed effects
or they have a part of random effects?
How I obtain the estimates of the two levels of LOCALIDAD?,
Thank you
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Ana María Adalid Martínez
Instituto de Conservación y Mejora de la Agrodiversidad Valenciana
Polythecnic University of Valencia
Spain
mail: anadmar@upvnet.upv.es
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