Dear R users,
I am having problems using package lme4.
I am trying to analyse the effect of a continuous variable (Dist_NV)
on a count data response variable (SR_SUN) using Poisson error
distribution. However, when I run the model:
summary(lmer((SR_SUN)~Dist_NV + (1|factor(Farm_code)) ,
Dear R-help,
I am having problems using package lme4.
I am trying to analyse the effect of a continuous variable (Dist_NV)
on a count data response variable (SR_SUN) using Poisson error
distribution. However, when I run the model:
summary(lmer((SR_SUN)~Dist_NV + (1|factor(Farm_code)) ,
This is similar to another question on the list today.
On Tue, Feb 16, 2010 at 4:39 AM, Luisa Carvalheiro
lgcarvalhe...@gmail.com wrote:
Dear R users,
I am having problems using package lme4.
I am trying to analyse the effect of a continuous variable (Dist_NV)
on a count data response
Dear Douglas,
Thank you for your reply.
Just some extra info on the dataset: In my case Number of obs is 33,
and number of groups of factor(Farm_code) is 12.
This is the information on iterations I get:
summary(lmer(round(SR_SUN)~Dist_NV + (1|factor(Farm_code)) ,
family=poisson, verbose =TRUE))
On Tue, Feb 16, 2010 at 10:54 AM, Luisa Carvalheiro
lgcarvalhe...@gmail.com wrote:
Dear Douglas,
Thank you for your reply.
Just some extra info on the dataset: In my case Number of obs is 33,
and number of groups of factor(Farm_code) is 12.
This is the information on iterations I get:
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