How can I define a for loop in which there is a bootci function?

Hello everybody. Firstly I estimate cubic splines coefficients and then I would like to implement bootstrap function on each interval of cubic splines. This is my code and I got the error " Not enough input arguments ".

t=0:.1:pi;

y=sin(t);

N=length(t); %number of points

n=N-1; %number of subintervals

h=(t(N)-t(1))/n; %step size

% h=2;

Trid=diag(4*ones(1,n-1))+diag(ones(1,n-2),1)+diag(ones(1,n-2),-1);

for i=1:n-1

z(i)=6/h^2*(y(i+2)-2*y(i+1)+y(i));

end

z=z';

w=inv(Trid)*z;

sigma=[0;w;0];

for i=1:n

d(i)=y(i);

b(i)=sigma(i)/2;

a(i)=(sigma(i+1)-sigma(i))/(6*h);

c(i)=(y(i+1)-y(i))/h-h/6*(2*sigma(i)+sigma(i+1));

end

r=1; %number of subintervals

hh=h/r; %step size of subintervals

x=t(1):hh:t(N);

for i=1:n

for j=r*(i-1)+1:r*i

s(j)=a(i)*(x(j)-t(i))^3+b(i)*(x(j)-t(i))^2+c(i)*(x(j)-t(i))+d(i);

end

end

s(r*n+1)=y(N);

for i=1:n

s_i{i}=@(x) a(i)*(x-t(i)).^3+b(i)*(x-t(i)).^2+c(i)*(x-t(i))+d(i);

end

k=1;

for i=1:n

B = [-.161 0 1 0];

beta0(i,:)=[a(i) b(i) c(i) d(i)];

x=t';

s_i{i}=@(x) a(i)*(x-t(i)).^3+b(i)*(x-t(i)).^2+c(i)*(x-t(i))+d(i);

modelfunc(i)=s_i{i};

beta(i) = @(predictor,response)nlinfit(predictor,response,modelfunc(i),beta0(i,:))

c(:,k) = bootci(1000,{beta(i),t',y},'Type','norm');

k=k+2;

end