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How to set Manually the Reference Level in glmmTMB

2 messages · Alexandre F. Souza, Thierry Onkelinx

#
Dear all,

I am running a glmm with glmmTMB in which the fixed part has two factor
varialbes, year (ano_medida) and habitat type (Grupos_Finais below). Since
I have only two years I do not mind that the model takes the first year as
a baseline. However, no habitat type is a control or a reference, and I
would like to see results for all levels of this variable. I would like to
know how to manually do this, but I am only finding in the internet
resources to change the reference level, not to cancel it. Could anyone
help me with this?

modelo2.glmm = glmmTMB(reproducao_bin ~ ano_medida +
Basal_Area_m2*Grupos_Finais + R_dens_total*Grupos_Finais + (1|numero) + (1
|bloco/transecto/parcela), family = binomial, data = dados)

My data:
'data.frame': 1428 obs. of  12 variables:
 $ numero                  : int  4006 4009 4010 4020 4022 4024 4025 4027
4035 4036 ...
 $ bloco                   : int  1 1 1 1 1 1 1 1 1 1 ...
 $ transecto               : int  1 1 1 1 1 1 1 1 1 1 ...
 $ parcela                 : int  1 1 1 1 1 1 1 1 1 1 ...
 $ Tree_Height_m_Fuste_Parc: num  8.32 8.32 8.32 8.32 8.32 ...
 $ Grupos_Finais           : Factor w/ 3 levels "Disturbed Unflooded
Forests",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ ano_medida              : Factor w/ 2 levels "2016","2017": 1 1 1 1 1 1
1 1 1 1 ...
 $ Basal_Area_m2           : num  0.182 0.182 0.182 0.182 0.182 ...
 $ das_mm                  : num  185 161 167 114 164 ...
 $ reproducao              : int  3 0 0 0 0 0 0 0 0 0 ...
 $ reproducao_bin          : int  1 0 0 0 0 0 0 0 0 0 ...
 $ R_dens_total            : int  31 31 31 31 31 31 31 31 31 31 ...
Many thanks!

Alexandre
#
Dear Alexandre,

You could change the formula to

reproducao_bin ~ 0 + Grupos_Finais + ano_medida +
Basal_Area_m2*Grupos_Finais + R_dens_total*Grupos_Finais + (1|numero) +
(1|bloco/transecto/parcela)

Another option is to calculate contrasts based on the model.

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
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Op do 28 mrt 2024 om 15:38 schreef Alexandre F. Souza <
alexsouza.cb.ufrn.br at gmail.com>: