Replace those values with NaN and plot:
A =[1 0.122 0.05 0.093 0.113
6 0.18 0.071 0.135 0.168
10 NaN NaN NaN NaN
15 0.252 0.103 0.138 0.158
22 0.354 0.124 0.136 0.184
40 0.456 0.542 0.752 0.33
60 0.371 0.164 0.268 0.239
100 0.403 0.164 0.341 0.437
135 0.711 0.443 0.552 0.665] ;
figure('Color','w')
plot(A(:,1),A(:,2:5))
Or fill the missing values using interpolation and plot.
A =[1 0.122 0.05 0.093 0.113
6 0.18 0.071 0.135 0.168
10 NaN NaN NaN NaN
15 0.252 0.103 0.138 0.158
22 0.354 0.124 0.136 0.184
40 0.456 0.542 0.752 0.33
60 0.371 0.164 0.268 0.239
100 0.403 0.164 0.341 0.437
135 0.711 0.443 0.552 0.665] ;
% use interpolation to fill the data
for i = 2:5
idx = isnan(A(:,i)) ;
A(idx,i) = interp1(A(~idx,1),A(~idx,i),A(idx,1)) ;
end
figure('Color','w')
plot(A(:,1),A(:,2:5))
