Hello R-helpers:
I have data like this:
sample replicate height weight age
A 1.00 12.0 0.64 6.00
A 2.00 12.2 0.38 6.00
A 3.00 12.4 0.49 6.00
B 1.00 12.7 0.65 4.00
B 2.00 12.8 0.78 5.00
C 1.00 11.9 0.45 6.00
C 2.00 11.84 0.44 2.00
C 3.00 11.43 0.32 3.00
C 4.00 10.24 0.84 4.00
D 1.00 14.2 0.54 2.00
D 2.00 15.67 0.67 7.00
D 3.00 15.11 0.81 7.00
Now, how can I calculate the mean for each condition (heigth, weigth, age)
in each sample, considering the samples have different number of replicates?
The final matrix should look like:
sample height weight age
A 12.20 0.50 6.00
B 12.75 0.72 4.50
C 11.35 0.51 3.75
D 14.99 0.67 5.33
This is a simplified version of my dataset, which consist of 100 samples
(unequally distributed in 530 replicates) for 600 different conditions.
I appreciate all the help.
A.S.
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