Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/correlationPlot.R

`correlationPlot`

produces a correlation plot to compare true and estimated

1 2 3 4 5 6 7 8 |

`true` |
A matrix of true gene-gene correlation values. |

`est` |
A matrix of estimated gene expression values. |

`plot.genes` |
A vector of indices of genes used in plotting; the suggested length of this vector is 18. |

`boxes` |
A logical scalar to indicate whether boxes
are drawn around sets of 6 genes; only available if |

`title` |
A character string describing the title of the plot. |

`line` |
on which MARgin line, starting at 0 counting outwards. |

The upper triangle of the correlation plot shows the true gene-gene correlation values, while the lower triangle of the correlation plot shows the gene-gene correlation values calculated from the estimated gene expression values. This is possible because correlation matrices are symmetric.

`correlationPlot`

returns a plot.

Saskia Freytag

1 2 3 4 | ```
Y<-simulateGEdata(500, 500, 10, 2, 5, g=NULL, Sigma.eps=0.1,
250, 100, intercept=FALSE, check.input=FALSE)
correlationPlot(Y$Sigma, Y$Y, title="Raw",
plot.genes=c(sample(1:100, 6), sample(101:250, 6), sample(251:500, 6)))
``` |

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