# Plot estimated squared coefficient of variation

### Description

Plot estimated SCV based on ggplot2

### Usage

1 2 | ```
plotSCVEsts(XB, name = NULL, ymin, linecol = "red3",
xlab = "mean of normalized counts", ylab = "SCV")
``` |

### Arguments

`XB` |
A XBSeqDataSet object |

`name` |
The name of the fit information. Only specify this if you choose |

`ymin` |
The limit of y axis |

`linecol` |
The linecolour of the SCV-mean trend |

`xlab` |
The lable of x axis |

`ylab` |
The lable of y axis |

### Value

Summary plot for the fitting and estimation of scv

### Author(s)

Yuanhang Liu

### References

H. I. Chen, Y. Liu, Y. Zou, Z. Lai, D. Sarkar, Y. Huang, et al., "Differential expression analysis of RNA sequencing data by incorporating non-exonic mapped reads," BMC Genomics, vol. 16 Suppl 7, p. S14, Jun 11 2015.

### See Also

`estimateSCV`

### Examples

1 2 3 4 5 6 7 | ```
conditions <- factor(c(rep('C1', 3), rep('C2', 3)))
data(ExampleData)
XB <- XBSeqDataSet(Observed, Background, conditions)
XB <- estimateRealCount(XB)
XB <- estimateSizeFactors(XB)
XB <- estimateSCV(XB, fitType='local')
plotSCVEsts(XB)
``` |