Statistical methodology questions are generally off topic here. This
list is about R programming. I suggest you post to a statistics site
like stats.stackexchange.com instead.

Cheers,
Bert

Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374

"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
Clifford Stoll




On Thu, Feb 19, 2015 at 6:47 AM, Jan-Ulrich Kreft <j.kr...@bham.ac.uk> wrote:
> Dear list
>
> I have data from a collaborator who has used DesignExpert to design the 
> experiment and analyse the data but no longer has access to this software and 
> does not know exactly what the software did and why.
>
> So I’m now trying to analyse the data in R but can't quite decide what to do.
>
> Cell count is the response variable (number of cells attached to a surface 
> per unit area and time interval, so could be Poisson distributed).
>
> This cell count depends on whether the surface was oriented upwards or 
> downwards (categorical - with or against gravity). Some more categorical 
> variables were also studied such as surface material (glass or polycarbonate, 
> symbols g and p in the figure) and position in flow cell (inlet or outlet), 
> but they seem to have no significant effect.
>
> Cell count also depends on a quantitative variable in a nonlinear manner: the 
> flow rate with which the cell suspension was pumped along the surface.
>
> I was wondering which kind of statistical model would be appropriate. I was 
> first thinking ANCOVA but this seems to be a linear model and treating the 
> quantitative explanatory variable as covariate when this is actually of 
> interest. What else could I use?
>
> Attached a figure showing the means of 4 replicates.
>
> Many thanks.
>
> Best wishes,
> Jan.
>
> ---
> Dr Jan-Ulrich Kreft
> +44 (0)121 41-48851
> School of Biosciences
> University of Birmingham, Birmingham, B15 2TT, UK
> http://www.tinyurl.com/kreftlab
>
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