QuanRange | R Documentation |

Compute Quantile Range, a metric representing signal strength for QC purpose

Compute Quantile Range, a metric representing signal strength for QC purpose

```
QuanRange(object, ...)
## S4 method for signature 'NanoStringGeoMxSet'
QuanRange(object, split = FALSE, probs, removeoutlier = FALSE, ...)
## S4 method for signature 'matrix'
QuanRange(object, probenum, BGmod, probs, removeoutlier = FALSE)
```

`object` |
count matrix with features in rows and samples in columns |

`...` |
additional argument list that might be used |

`split` |
indicator variable on whether it is for multiple slides |

`probs` |
numeric vector of probabilities with values in [0,1] passed to quantile |

`removeoutlier` |
indicator on whether to remove outliers, default: FALSE |

`probenum` |
a vector of numbers of probes in each gene |

`BGmod` |
a list of sizefact, sizefact, countmat, and id (if it is for multiple slides) |

a valid S4 object with probabilities in phenoData

a matrix of quantile range in rows and probs in columns

```
data(demoData)
demoData <- fitPoisBG(demoData, size_scale = "sum")
demoData <- diagPoisBG(demoData)
demoData <- aggreprobe(demoData, use = "cor")
Biobase::notes(demoData)$disper
demoData <- QuanRange(demoData, split = FALSE, probs = c(0.75, 0.8, 0.9, 0.95))
data(demoData)
demoData <- fitPoisBG(demoData, groupvar = "slide name")
demoData <- diagPoisBG(demoData, split = TRUE)
demoData <- aggreprobe(demoData, use = "cor")
Biobase::notes(demoData)$disper_sp
demoData <- QuanRange(demoData, split = TRUE, probs = c(0.75, 0.8, 0.9, 0.95))
```

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