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)
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