How do I exclude anomalies from a plot in a data set?

I want to plot a data set and exclude anomalous points. Say I have some data, e.g.

x = [0.5 0.48 0.2 0.51 0.49 0.52]
y = [1 2 3 4 5 6]

and I want to do a linear fit to the data excluding the anomalous point (x = 0.2). I can currently get matlab to find anomalous points as follows:

plot(x,y,'.','color', CM(ij,:));
fitA = polyfit(x,y,1);
fdata = polyval(fitA,x);
I = abs(fdata - y) > 1.2*std(y);
outliers = excludedata(x,y,'indices',I);

but I then want to do another fit where I exclude the outlying points. I tried

fitB = polyfit(x,y,1,'Exclude',outliers);

but this gave the error:

Error using polyfit

Too many input arguments.

How can I do this second fit correctly?

Answer 1

[madhan ravi]

https://www.mathworks.com/help/matlab/ref/polyfit.html - polyfit takes only three inputs

perhaps:

fitB(~ismember(fitB,outliers))