Nothing

```
LogFrequencyBiplot <- function(x, Scaling=2, logoffset=1, freqoffset=logoffset, ...){
if (is.data.frame(x)) x=as.matrix(x)
x=log(x+logoffset)
W=x+freqoffset
ContinuousDataTransform = c("Raw Data", "Substract the global mean", "Double centering", "Column centering", "Standardize columns", "Row centering",
"Standardize rows", "Divide by the column means and center", "Normalized residuals from independence")
if (is.numeric(Scaling))
Scaling = ContinuousDataTransform[Scaling]
if (Scaling=="Double centering") stop("Double Centering is not compatible with log-frequencies")
if (Scaling=="Divide by the column means and center") stop("Divide by the column means and center is not compatible with log-frequencies")
if (Scaling=="Normalized residuals from independence") stop("Normalized residuals from independence are not compatible with log-frequencies")
Data = InitialTransform(x, transform = Scaling)
X = Data$X
NewBiplot=CrissCross(X,w=W, ...)
NewBiplot$Non_Scaled_Data=x
NewBiplot$Data=X
NewBiplot$Means=apply(x,2,mean)
NewBiplot$Medians=apply(x,2,median)
NewBiplot$Deviations=apply(x,2,sd)
NewBiplot$Minima=apply(x,2,min)
NewBiplot$Maxima=apply(x,2,max)
NewBiplot$Gmean=mean(x)
NewBiplot$alpha=0.5
NewBiplot$Initial_Transformation = Scaling
NewBiplot$Type="LogFreqBiplot"
return(NewBiplot)
}
```

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