DCP_ScatterPlot: Scatter Plots of Expression vs. Time.

In DiffCircaPipeline/Rpackage: An R package for DiffCircaPipeline: A framework for multifaceted characterization of differential rhythmicity

Scatter Plots of Expression vs. Time.

Description

Scatter Plots of Expression vs. Time.

Usage

DCP_ScatterPlot(
  x,
  genes.plot = NULL,
  Info1 = "gI",
  Info2 = "gII",
  text.size = 12,
  filename = NULL,
  file.width = 8,
  file.height = 8
)

Arguments

x	DCP_Rhythmicity() output
genes.plot	a vector of character strings. Names of genes to be plotted. Names should be same in nomenclature as gname in the data list. If NULL, the top 10 most rhythmic genes from group I will be used
Info1	character string. Used in the plot title for group I.
Info2	character string. Used in the plot title for group II (if exist).
text.size	the size of annotation texts.
filename	character string of the filename for exporting. If NULL, plots are not saved.
file.width	height of the export plot
file.height	width of the export plot

Value

A list of ggplot2 plots.

Examples

x = DCP_sim_data(ngene=1000, nsample=30, A1=c(1, 3), A2=c(1, 3),
phase1=c(0, pi/4), phase2=c(pi/4, pi/2),
M1=c(4, 6), M2=c(4, 6), sigma1=1, sigma2=1)

rhythm.res = DCP_Rhythmicity(x1 = x[[1]], x2 = x[[2]])
rhythm.plots = DCP_ScatterPlot(rhythm.res)
#to display plot in Rstudio use DCP_PlotDisplay()
#display the first five plots
DCP_PlotDisplay(rhythm.plots, id = 1:5)

DiffCircaPipeline/Rpackage documentation built on March 17, 2023, 7:32 a.m.