# Filled contour with log-log scale

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A quick workaround to have a filled.contour plot with natural log10-log10 scale (instead of the default natural log scale)

```
plotmat <- function(mat,main='',factor='M',MeasuredResponse='Coexistence')
{
X <- as.numeric(rownames(mat))
Y <- as.numeric(colnames(mat))
if(factor=='C')
{
Y <- Y/0.16
}
rownames(mat) <- as.numeric(X)
colnames(mat) <- as.numeric(Y)
colorFun <- colorRampPalette(c("black","darkblue","blue","green",
"orange",'yellow',"red","darkred",'white'))
```

```
lX <- log(X, 10)
lY <- log(Y, 10)
```

```
pretty.X.at <- pretty(range(lX),n=6)
pretty.X.lab <- round(10^pretty.X.at,0)
pretty.Y.at <- pretty(lY,n=4)
pretty.Y.lab <- round(10^pretty.Y.at,2) pretty.Y.lab[pretty.Y.lab>1] <- round(pretty.Y.lab[pretty.Y.lab>1],0)
pretty.Y.lab[(pretty.Y.lab>0.1)&(pretty.Y.lab<1)] <- round(pretty.Y.lab[(pretty.Y.lab>0.1)&(pretty.Y.lab<1)],1)
```

```
filled.contour(lX,lY,mat,
axes=FALSE,
frame.plot=TRUE,
color=colorFun,
ylab= MeasuredResponse,
xlab='Time between perturbation events',
main=main,
key.title=title(main=""),
key.axes=axis(4,at=pretty(vmat)),
plot.axes={ axis(1,at=pretty.X.at,labels=pretty.X.lab)
axis(2,at=pretty.Y.at,labels=pretty.Y.lab) })
}
```

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