| DCP_DiffR2 | R Documentation | 
Differential Rhythmicity Fitness Test
DCP_DiffR2( x, method = "LR", TOJR = NULL, alpha = 0.05, nSampling = 1000, Sampling.save = NULL, Sampling.file.label = "gII_vs_gI", p.adjust.method = "BH", parallel.ncores = 1 )
x | 
 outpuf of DCP_Rhythmicity(x1, x2)  | 
method | 
 one of "LR", "permutation", "bootstrap". "LR" is recommended.  | 
TOJR | 
 toTOJR output. If NULL, rhythm.joint object in x will be used.  | 
alpha | 
 cutoff of p-values for significant differential rhythm fitness change.  | 
nSampling | 
 number of samplings if "permutation" or "bootstrap" is chosen for method  | 
Sampling.save | 
 directory to save sampling results. If NULL, the result will not be saved.  | 
Sampling.file.label | 
 character string. Used as file lable if sampling results are saved.  | 
p.adjust.method | 
 input for p.adjust() in R package   | 
parallel.ncores | 
 integer. Number of cores used if using parallel computing with   | 
A dataframe of differential rhythm finess test results.
x = DCP_sim_data(ngene=1000, nsample=30, A1=c(1, 3), A2=c(1, 3), phase1=c(0, pi/4), phase2=c(pi/4, pi/2), M1=c(4, 6), M2=c(4, 6), sigma1=1, sigma2=1) rhythm.res = DCP_Rhythmicity(x1 = x[[1]], x2 = x[[2]]) rhythm.diffR2 = DCP_DiffPar(rhythm.res)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.