[R-sig-ME] lme4 analysis_2ANOVA repeated measure
emm@nue|@cur|@ @end|ng |rom p@r|@de@c@rte@@|r
Thu Jun 13 14:45:45 CEST 2019
In your data file, there seems to be nothing like « subject id », but
only time, sex and Atg3 (=Abt3 ?) measure so it's not possible to do
any random-effect modeling.
Besides, you should give more explaination about what is the Atg3
column, because the syntax will change if there are CTs or equivalent
measures [does not look like, except the atypical 31.355 value],
absolute quantities or relative quantities compared to a (set of)
Last, comparing all times to see a time effect is not a very powerful
method, because you quickly increase the number of comparisons, and at
the extreme, the more time you have, the more precise is your time
curve, the more difficult it is to detect anything...
Note however that looking « by eye » your data, you can't expect much
since you have a small dataser, huge outliers (31.355, 5.081, 4.804)
and a quite high intra-groupe variability (values ranging from 0.087
to 2.237 for the 3 males at t=7, for instance).
On Mon, Jun 10, 2019 at 03:31:53PM +0100, Tanay Ghosh wrote:
« Dear All,
« I wonder if I can ask your advise to analyse this data (attached). Please
« note that some of the values are "NA" i.e. I do not have any measurement
« Here I have four different time (days) points. I measured expression of Abt3
« gene at these time points in male and female.
« I want to see if gender wise expression of Atg3 differ at any time point?
« I further want to do a posttest to get p value for Male at time 7 vs female
« at time 7, Male at time 15 vs Female at time 15, and like wise all other
« time points.
« Please could you advise me how to do this analysis using lmer function? I
« would very much appreciate if you please write the commands in R for this
« specific case.
« Thank you in advance for your time.
« Kind regards,
« Dr. Tanay Ghosh, PhD
« Research Associate
« Department of Clinical Neurosciences,
« Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute,
« Clifford Allbutt Building,
« Cambridge Biomedical Campus,
« University of Cambridge,
« Cambridge CB2 0AH
« time Gender Atg37 Male 0.2127 Male 2.2377 Male 0.0877 Female 0.0927 Female 2.8057 Female 0.10315 Male 0.07115 Male 2.73315 Male 2.41415 Female 0.1515 Female 2.43815 Female 1.43424 Male 0.07924 Male 2.21224 Male 31.35524 Female 0.21124 Female 0.81224 Female 5.081231 Male 0.073231 Male 0.505231 Male 0.737231 Female 0.178231 Female 0.319231 Female 4.804420 Male 0.29420 Male 0.424420 Male NA420 Female 0.337420 Female 0.966420 Female NA
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