Description Usage Arguments Details Value Author(s) Examples

This is a helper function to easily draw (1) clustering dendrogram and heatmap of a sample-per-sample correlation matrix, (2) multidimensional scaling plots (MDS), (3) relative log expression (RLE) boxplots of expression data, (4) a sample-by-sample expression value distribution, and (5) a class average expression value distribution

1 | ```
DaMiR.Allplot(data, df, type = c("spearman", "pearson"))
``` |

`data` |
A SummarizedExperiment object or a matrix or a data.frame where rows and cols should be, respectively, observations and features |

`df` |
A data frame with class and known variables (or a subset of them); at least one column with 'class' label must be included |

`type` |
A character string specifing the metric to be applied to correlation analysis. Either "spearman" or "pearson" is allowed; default is "spearman" |

Please be sure that NAs are not present in `df`

's columns.
Plots will not be drawn in the presence of NAs.

A dendrogram and heatmap, MDS plot(s), a RLE boxplot, a sample-by-sample expression value distribution, and a class average expression value distribution

Mattia Chiesa, Luca Piacentini

1 2 3 4 5 |

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