ClusterCorPlot: ClusterCorPlot :
In nathansam/CircadianTools: Collection of Tools for Detecting Rhythmic Genes

Description Usage Arguments Value Examples

Plots the activity level for a cluster generated by using absolute Pearson's correlation as a distance measure. Plots positively and negatively correlated genes as two different lines.

ClusterCorPlot(
  cluster.no,
  cluster.dataset,
  nthreads = NULL,
  print = TRUE,
  save = FALSE,
  path = NULL
)

`cluster.no`	The number which identifies the cluster
`cluster.dataset`	A transcriptomics dataset where the final column details the cluster the gene belongs to. First column should be gene names. All remaining columns should be expression levels.
`nthreads`	Number of processor threads for the process. If not specified then the maximum number of logical cores are used.
`print`	Logical. If TRUE renders significant genes in the plot viewer. Defaults to TRUE
`save`	Logical. If TRUE, saves plots. Defaults to FALSE.
`path`	The directory to be used for saving plots to. Uses the working directory by default. Not used if save=FALSE

Prints or saves a ggplot2 object.

1
2
3

pam.df <- PamClustering(Laurasmappings, k = 10, metric = "abs.correlation",
                        nthreads = 2)
ClusterCorPlot(2, pam.df, nthreads = 2)