Show method for compData object.
# S4 method for class 'compData'
show(object)mydata <- generateSyntheticData(dataset = "mydata", n.vars = 12500,
samples.per.cond = 5, n.diffexp = 1250)
mydata
#> An object of class compData
#> Dataset name: mydata
#> Number of samples: 10
#> Number of variables: 12494
#> Number of random outliers: 0
#> Number of single outliers: 0
#> Number of known truly differentially expressed genes: 1249
#> No differential expression analysis has been performed.
#>
#> count.matrix:
#> sample1 sample2 sample3 sample4 sample5 sample6
#> g1 93 79 297 206 197 207
#> g2 326 355 155 589 541 1157
#> g3 102 139 266 166 160 628
#> g4 1029 2999 3160 2273 2686 7644
#> g5 1086 1239 2053 1596 1424 2544
#> g6 755 385 710 467 691 897
#> + 12488 rows and 4 cols...
#>
#> sample.annotations:
#> condition depth.factor
#> sample1 1 0.8379098
#> sample2 1 0.8051174
#> sample3 1 1.3635233
#> sample4 1 1.2043013
#> sample5 1 1.3650748
#> sample6 2 1.0015471
#> + 4 rows...
#>
#> variable.annotations:
#> truedispersions.S1 truedispersions.S2 truemeans.S1 truemeans.S2
#> g1 0.13723756 0.13723756 47.29268 71.07437
#> g2 0.19264403 0.19264403 127.14634 504.64474
#> g3 0.08505297 0.08505297 61.96491 152.61047
#> g4 0.13008023 0.13008023 937.17073 3749.02477
#> g5 0.13173090 0.13173090 520.70732 1154.88783
#> g6 0.08167468 0.08167468 193.96491 336.64904
#> n.random.outliers.up.S1 n.random.outliers.up.S2 n.random.outliers.down.S1
#> g1 0 0 0
#> g2 0 0 0
#> g3 0 0 0
#> g4 0 0 0
#> g5 0 0 0
#> g6 0 0 0
#> n.random.outliers.down.S2 n.single.outliers.up.S1 n.single.outliers.up.S2
#> g1 0 0 0
#> g2 0 0 0
#> g3 0 0 0
#> g4 0 0 0
#> g5 0 0 0
#> g6 0 0 0
#> n.single.outliers.down.S1 n.single.outliers.down.S2 M.value A.value
#> g1 0 0 0.6742724 7.537390
#> g2 0 0 1.5032893 9.151369
#> g3 0 0 1.5971668 8.033871
#> g4 0 0 2.1533868 12.143778
#> g5 0 0 1.0334201 10.934882
#> g6 0 0 0.6918819 9.453143
#> truelog2foldchanges upregulation downregulation differential.expression
#> g1 0.5877123 1 0 1
#> g2 1.9887782 1 0 1
#> g3 1.3003306 1 0 1
#> g4 2.0001316 1 0 1
#> g5 1.1492082 1 0 1
#> g6 0.7954497 1 0 1
#> + 12488 rows...
#>