Description Usage Arguments Details Value Author(s) References See Also Examples
Omega (ω) function is a function that is used to estimate omega using simulate null data from negative bionomial distribution. Omege is a null rho that is used as a threshold for real rho. Simulation is dependent on the original data.
1 | omega(XA, XB, na, nb, m, alpha = 0.05, distr = "norm")
|
XA |
a numeric vector values of condition A |
XB |
a numeric vector values of condition b |
na |
a numeric value, sample size in A. |
nb |
a numeric value, sample size in B |
m |
simulation number specified. |
alpha |
a numeric value, statistical cutoff. Default is 0.05. |
distr |
data distribution specified for data. For current version, we consider three distributions: normal, negative binomial (NB) and uniform. Default distribution is "norm". If user believe that the data follow negative binomial distribution, then set distr="NB" or "negative binomial" or if the data follow uniform distribution, then set distr="unif"or "uniform". |
This function is to use simulated null data to calculate omega value with rho = 1.
return a numeric value
Yuan-De Tan tanyuande@gmail.com
Yuan-De Tan Anita M. Chandler, Arindam Chaudhury, and Joel R. Neilson(2015) A Powerful Statistical Approach for Large-scale Differential Transcription Analysis. Plos One. 2015 DOI: 10.1371/journal.pone.0123658.
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