Produce an interactive Shiny report showing diagnostic plots of transformed counts.
     
    
    Usage
    shiny_report(
  y = NULL,
  counts = NULL,
  sample_labels = NULL,
  feature_labels = NULL,
  prefix = ""
)
 
    
    Arguments
- y
- A matrix of exprssion levels, such as a transformed counts matrix. 
- counts
- Original counts. 
- sample_labels
- Optional. Sample names. 
- feature_labels
- Optional. Feature names. 
- prefix
- Optional, to facilitate use as a component of a larger Shiny app. Inputs and outputs are given this prefix. 
 
    
    Value
    A shiny.appobj.
Either y or counts or both must be given.
Used interactively, the shiny report runs immediately. Otherwise it can be launched by print()-ing it. A call to this function can also be the last line in an app.R file in a Shiny app directory.
     
    
    
    Examples
    
# Generate some random data.
means <- runif(100,min=0,max=1000)
counts <- matrix(rnbinom(1000, size=1/0.01, mu=rep(means,10)), ncol=10)
y <- varistran::vst(counts)
#> Dispersion estimated as 0.01179519
if (interactive())
    varistran::shiny_report(y, counts)