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I have a data like this, ticks feed on three groups of treated mouses, compare whether the treatment has an effect on ticks' bacteria load.

when I made a mixed model like lmer.model01=lmer(log10.load~treat+(1|mouse.id/tick.id)):

lmer.model01 = lmer(log10.load ~ treat + (1|mouse.id/tick.id))

The screen says:" Error: number of levels of each grouping factor must be < number of observations".

Error: number of levels of each grouping factor must be < number of observations

What happened and how can I change my model?

I have a data like this, ticks feed on three groups of treated mouses, compare whether the treatment has an effect on ticks' bacteria load.

when I made a mixed model like lmer.model01=lmer(log10.load~treat+(1|mouse.id/tick.id))

The screen says:" Error: number of levels of each grouping factor must be < number of observations". What happened and how can I change my model?

I have a data like this, ticks feed on three groups of treated mouses, compare whether the treatment has an effect on ticks' bacteria load.

when I made a mixed model like:

lmer.model01 = lmer(log10.load ~ treat + (1|mouse.id/tick.id))

The screen says:

Error: number of levels of each grouping factor must be < number of observations

What happened and how can I change my model?

Source Link

asked Dec 13, 2015 at 18:13

number of levels of each grouping factor must be < number of observations

I have a data like this, ticks feed on three groups of treated mouses, compare whether the treatment has an effect on ticks' bacteria load.

when I made a mixed model like lmer.model01=lmer(log10.load~treat+(1|mouse.id/tick.id))

The screen says:" Error: number of levels of each grouping factor must be < number of observations". What happened and how can I change my model?

r mixed-model

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