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 `diagnosticTest` with `save_F=TRUE` which contains the F-statistics and sampling replicates. `number` Number of which BC to plot. This needs to be one of the Biclusters requested in in `diagnosticTest`. `StatVal` Boolean value to draw the observed statistic on the distribution plots. `binwidth` The width of the bins.

### Value

Returns a `ggplot` object.

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 Index]