View source: R/sim_mediation_data.R
sim_mediation_data | R Documentation |
Simulate data for analysis.
sim_mediation_data(
hypo = "H00",
sample_size = 1000,
num_mediators = 30,
num_mechanisms = 10000,
num_covariates = 2,
SS = NULL,
har = 0.1,
mm = 0,
vv = 0,
sm = 5,
mc = 5,
Styp = "C"
)
hypo |
Hypothesis type: "H00" refers to the complete null hypothese (default); "G0A" refers to the null hypothese with only alpha-signals; "G0B" refers to the null hypothese with only beta-signals; "H02" refers to the cases with disjoint signals, if rho=0 then it is a null, otherwise alternative; "HA" refer to the alternative hypothesis with connected signals. |
sample_size |
Number of samples, default=1000. |
num_mediators |
Number of mediators, default=30. |
num_mechanisms |
Number of mechanisms, default=10000. |
num_covariates |
Number of covariates, default=2. |
SS |
The correlation matrix between mediators. |
har |
The percentage of mechanisms with signals within one experiment, default=0.1. (affect when hypo is not "H00") |
mm |
The mean of the signal, default=0. (affect when hypo is not "H00") |
vv |
The variance of the signal, default=0. (affect when hypo is not "H00") |
sm |
Number of mediators with signal within one mechanism, default=5. (affect when hypo is not "H00") |
mc |
Number of cores for parallel computing, default=5. |
H00=sim_mediation_data()
H00_ss=sim_mediation_data(sample_size=100)
H00_rh=sim_mediation_data(rho=0)
G0A=sim_mediation_data(hypo="G0A",har=0.1,mm=0,vv=0.05,sm=5)
G0B=sim_mediation_data(hypo="G0B",har=0.1,mm=0,vv=0.05,sm=5)
H02_null=sim_mediation_data(hypo="H02",har=1,mm=0,vv=0.05,sm=2)
HA=sim_mediation_data(hypo="HA",mm=0.1,vv=0.1,sm=10)
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