How to skip the particular year while writing a code?

I have data from 1980 to 2016, and i want to skip year 1992 from this. such that,the trend i am making from the command written below won't include year 1992 and its value.

B=[1980:2016 ],

C = [[0.0641771801575756 ,0.0705314239372543 ,0.169254911748342 ,0.0990499637351591 ,0.0824609982128868 ,0.0727823998431182 ,0.0751631840007672 ,0.0710952435222895 ,0.0716510334748713 ,0.0736190018376645 ,0.0721885991163370 ,0.256978377948127 ,0.129986763409104 ,0.0987830309715417 ,0.0859226479389245 ,0.0796368312126925 ,0.0795688352738768 ,0.120342752230900 ,0.0791018172841989 ,0.0773716181241581 ,0.108283337216576 ,0.108465660032082 ,0.115652007379638 ,0.114943930535510 ,0.128375015353833 ,0.116685880909142 ,0.138821961329473 ,0.133736439249935 ,0.139184962383231 ,0.133372815856175 ,0.133362557160868 ,0.143481889370999 ,0.135834567871762 ,0.133126726127365 ,0.149047349058725 ,0.156772003348878 ,0.148213197724466]],
Bi = linspace(min(B), max(B)),
trend_line = interp1(B, C, Bi, 'spline'),
figure(1)
plot(B,C,'pg',  Bi,trend_line,'-r')
grid

[Adam]

You seem to be interpolating onto an arbitrary grid so 1992 is not explicitly included anyway. You should just be able to replace the corresponding C value with a Null though.

[Pritha Pande]

ok, maybe in the above example i can do it without much efforts But, how to do it in the example presented below?

years = 1980:2016;

for i=1:80
    for j=1:80
        p = polyfit(years, reshape(seasonal_JJA(i, j, :), 1, []),1);
        slopes(i, j) = p(1);
    end
end

Answer 1

[Walter Roberson]

B=[1980:2016 ]

mask = ~ismember(B, 1992);

C = [[0.0641771801575756 ,0.0705314239372543 ,0.169254911748342 ,0.0990499637351591 ,0.0824609982128868 ,0.0727823998431182 ,0.0751631840007672 ,0.0710952435222895 ,0.0716510334748713 ,0.0736190018376645 ,0.0721885991163370 ,0.256978377948127 ,0.129986763409104 ,0.0987830309715417 ,0.0859226479389245 ,0.0796368312126925 ,0.0795688352738768 ,0.120342752230900 ,0.0791018172841989 ,0.0773716181241581 ,0.108283337216576 ,0.108465660032082 ,0.115652007379638 ,0.114943930535510 ,0.128375015353833 ,0.116685880909142 ,0.138821961329473 ,0.133736439249935 ,0.139184962383231 ,0.133372815856175 ,0.133362557160868 ,0.143481889370999 ,0.135834567871762 ,0.133126726127365 ,0.149047349058725 ,0.156772003348878 ,0.148213197724466]],
Bi = linspace(min(B), max(B)),
trend_line = interp1(B(mask), C(mask), Bi, 'spline'),
figure(1)
plot(B(mask),C(mask),'pg',  Bi,trend_line,'-r')
grid