Plot the scree plot for all genes in the dataset.

1 | ```
timeSeq.screeplot(timeSeq.obj, type = c("barplot", "lines"))
``` |

`timeSeq.obj` |
an object returned by timeSeq function |

`type` |
type of plot: "barplot" for bar plot and "lines" for line graph. |

Fan Gao and Xiaoxiao Sun

Sun, Xiaoxiao, David Dalpiaz, Di Wu, Jun S. Liu, Wenxuan Zhong, and Ping Ma. "Statistical inference for time course RNA-Seq data using a negative binomial mixed-effect model." BMC Bioinformatics, 17(1):324, 2016.

Chong Gu. Model diagnostics for smoothing spline ANOVA models. Canadian Journal of Statistics, 32(4):347-358, 2004.

Chong Gu. Smoothing spline ANOVA models. Springer, second edition, 2013.

Chong Gu and Ping Ma. Optimal smoothing in nonparametric mixed-effect models. Annals of Statistics, pages 1357-1379, 2005a.

1 2 3 4 | ```
data(simulate.dt)
attach(simulate.dt)
model.fit <- timeSeq(data.count, group.label, gene.names, reads, exon.level = FALSE, n.cores = 1)
timeSeq.screeplot(model.fit, "lines")
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.