diagnosticPlot2 {biclust} | R Documentation |

## Diagnostics F Statistiics Visualization

### Description

Plots distributions of bootstrap replicates of F-statistics for row, column and multiplicative effects obtained from `diagnosticTest`

(when `save_F=TRUE`

).
Contains an option to highlight the observed statistics.

### Usage

```
diagnosticPlot2(diagnosticTest, number = 1, StatVal = TRUE,
binwidth = NULL)
```

### Arguments

`diagnosticTest` |
output of |

`number` |
Number of which BC to plot. This needs to be one of the Biclusters requested in in |

`StatVal` |
Boolean value to draw the observed statistic on the distribution plots. |

`binwidth` |
The width of the bins. |

### Value

Returns a `ggplot`

object.

### Author(s)

Ewoud De Troyer

### Examples

```
## Not run:
#Random matrix with embedded bicluster (with multiplicative effect)
test <- matrix(rnorm(5000),100,50)
roweff <- sample(1:5,10,replace=TRUE)
coleff <- sample(1:5,10,replace=TRUE)
test[11:20,11:20] <- test[11:20,11:20] +
matrix(coleff,nrow=10,ncol=10,byrow=TRUE) +
matrix(roweff,nrow=10,ncol=10) +
roweff %*% t(coleff)
#Apply Plaid Biclustering
res <- biclust(test, method=BCPlaid())
#Apply default diagnosticTest
out <- diagnosticTest(BCresult=res, data=test, save_F=TRUE, number=1,
statistics=c("F","Tukey","ModTukey","Tusell","Mandel","LBI","JandG"),
samplingtypes=c("Permutation","SemiparPerm","SemiparBoot",
"PermutationCor","SamplingCor","NormSim"))
#Plot Distributions
diagnosticPlot2(out,number=1)
## End(Not run)
```

[Package

*biclust*version 2.0.3.1 Index]