rnaseq_sim {BatchQC} | R Documentation |
Generate simulated count data with batch effects for ngenes
rnaseq_sim(ngenes = 50, nbatch = 3, ncond = 2, npercond = 10, basemean = 10000, ggstep = 50, bbstep = 2000, ccstep = 800, basedisp = 100, bdispstep = 10, swvar = 1000, seed = 1000)
ngenes |
Number of genes to simulate |
nbatch |
Number of batches to simulate |
ncond |
Number of conditions to simulate |
npercond |
Number of samples per condition per batch to simulate |
basemean |
Base mean |
ggstep |
Gene to Gene step variation |
bbstep |
Batch to Batch step variation |
ccstep |
Condition to Condition step variation |
basedisp |
Base Dispersion |
bdispstep |
Batch to Batch Dispersion step variation |
swvar |
Sample-wise extra variation |
seed |
Random seed for reproducibility |
RNA Seq count data matrix
rnaseq_sim() rnaseq_sim(ngenes=100, nbatch=5, seed=1234) rnaseq_sim(ngenes=100, nbatch=3, ncond=2, npercond=10, basemean=10000, ggstep=50, bbstep=20000, ccstep=8000, basedisp=100, bdispstep=10, swvar=1000, seed=1234)