Generates Random Single Cell Data

Generates random single cell data from a negative binomial distribution.

rscData(n = 800, p = 5000, celltypes = 15, samples = 4,
  dispersion = 0.1, .rng = NULL)

Arguments

n

number of features

p

number of cells

celltypes

number of cell types

samples

number of biological samples

dispersion

dispersion parameter passed to argument size of stats::rnbinom.

.rng

specification to set the random number with rngtools::setRNG. This enables to generate reproducible data.

Value

an ExpressionSet object

Examples

x <- rscData()
x
#> ExpressionSet (storageMode: lockedEnvironment)
#> assayData: 800 features, 5000 samples 
#>   element names: exprs 
#> protocolData: none
#> phenoData
#>   sampleNames: C1 C2 ... C5000 (5000 total)
#>   varLabels: cellType sampleID group
#>   varMetadata: labelDescription
#> featureData: none
#> experimentData: use 'experimentData(object)'
#> Annotation:  
varLabels(x)
#> [1] "cellType" "sampleID" "group"   
summary(pData(x))
#>     cellType    sampleID group   
#>  CT_1   : 338   1:1250   A:2500  
#>  CT_2   : 333   2:1250   B:2500  
#>  CT_3   : 333   3:1250           
#>  CT_4   : 333   4:1250           
#>  CT_5   : 333                    
#>  CT_6   : 333                    
#>  (Other):2997