I have 49 samples. I need to compare different normalizations applied to Affymetrix data. A way to do that is by using the function MAplot. The problem is that I get some warnings I don't understand:

> MAplot(Data, plot.method="smoothScatter",cex=0.5,cex.main=0.5)

Attaching package: ‘hgu133plus2cdf’

The following objects are masked from ‘package:hgu133acdf’:

i2xy, xy2i

Warning messages:

1: In KernSmooth::bkde2D(x, bandwidth = bandwidth, gridsize = nbin, :

Binning grid too coarse for current (small) bandwidth: consider increasing 'gridsize'

2: In KernSmooth::bkde2D(x, bandwidth = bandwidth, gridsize = nbin, :

Binning grid too coarse for current (small) bandwidth: consider increasing 'gridsize'

3: In KernSmooth::bkde2D(x, bandwidth = bandwidth, gridsize = nbin, :

Binning grid too coarse for current (small) bandwidth: consider increasing 'gridsize'

4: In KernSmooth::bkde2D(x, bandwidth = bandwidth, gridsize = nbin, :

Binning grid too coarse for current (small) bandwidth: consider increasing 'gridsize'

5: In KernSmooth::bkde2D(x, bandwidth = bandwidth, gridsize = nbin, :

Binning grid too coarse for current (small) bandwidth: consider increasing 'gridsize'

6: In KernSmooth::bkde2D(x, bandwidth = bandwidth, gridsize = nbin, :

Binning grid too coarse for current (small) bandwidth: consider increasing 'gridsize'

7: In KernSmooth::bkde2D(x, bandwidth = bandwidth, gridsize = nbin, :

Binning grid too coarse for current (small) bandwidth: consider increasing 'gridsize'

8: In KernSmooth::bkde2D(x, bandwidth = bandwidth, gridsize = nbin, :

Binning grid too coarse for current (small) bandwidth: consider increasing 'gridsize'

Thank you.

```
```