I have a trait data set including two parents and one hundred offspring. I want to see whether the trait of the offspring are significant falling out of the trait ranges of the two parents.
So I was thinking to use Dunnett's test to do this comparisons, and then I have several questions:
(1) Can I use the trait values from the two parents (with three replicates each) as one control group? Each offspring with three replicates as one treatment? Can I compare them like this?
(2) Do I need to consider the false discovery rate (FDR) for Dunnett's test? If yes, how should I calculate this?
(3) Can I use the DunnettTests
package in R? How can I use it to estimate the FDR?
I provide part of the data here:
Isolate Set Replicate Mean_Radius
Parent1 Set1 rep1 6.45466
Parent1 Set1 rep2 6.30849
Parent1 Set1 rep3 6.03659
Parent2 Set1 rep1 7.50988
Parent2 Set1 rep2 7.20987
Parent2 Set1 rep3 7.45964
Indiv123.1 Set24 rep1 6.704253
Indiv123.1 Set24 rep2 5.890786
Indiv123.1 Set24 rep3 5.826617
Indiv126.1 Set24 rep1 4.89346
Indiv126.1 Set24 rep2 4.857164
Indiv126.1 Set24 rep3 4.993312
Indiv127.1 Set24 rep1 6.394363
Indiv127.1 Set24 rep2 6.671449
Indiv127.1 Set24 rep3 6.426548
Indiv127.2 Set24 rep1 6.519967
Indiv127.2 Set24 rep2 6.896463
Indiv127.2 Set24 rep3 6.837494
Indiv128.1 Set24 rep1 6.428241
Indiv128.1 Set24 rep2 6.23253
Indiv128.1 Set24 rep3 6.548339
Indiv128.2 Set24 rep1 7.343394
Indiv128.2 Set24 rep2 6.993254
Indiv128.2 Set24 rep3 7.221563
Indiv129.2 Set24 rep1 7.052779
Indiv129.2 Set24 rep2 6.868278
Indiv129.2 Set24 rep3 7.130719
Indiv130.1 Set24 rep1 6.340808
Indiv130.1 Set24 rep2 6.607034
Indiv130.1 Set24 rep3 6.813665
Indiv131.1 Set24 rep1 7.696813
Indiv131.1 Set24 rep2 8.306846
Indiv131.1 Set24 rep3 8.106084
Indiv133.1 Set24 rep1 7.578244
Indiv133.1 Set24 rep2 7.698663
Indiv133.1 Set24 rep3 7.638021