d=d+1 end if(mod(j,2)==0) a=a+1; v(i)=a; v(i+1)=a; end d = 1 s ??? Undefined function or variable 's'. >> d=1 for i=2:n-1, j=d if(mod(j,2)~=0) a=a+1; v(i)=a; d=d+1 end if(mod(j,2)==0) a=a+1; v(i)=a; v(i+1)=a; end end d = 1 j = 1 d = 2 j = 2 j = 2 j = 2 j = 2 j = 2 j = 2 >> v v = 1 16 17 18 19 20 21 22 22 >> d=1 for i=2:n-1, j=d if(mod(j,2)~=0) a=a+1; v(i)=a; d=d+1 end if(mod(j,2)==0) a=a+1; v(i)=a; v(i+1)=a; endsssssfdefv d = 1 >> d=1 d = 1 >> d=1; >> for i=2:n-1, d=1+j if(mod(j,2)~=0) a=a+1; v(i)=a; d=d+1 end if(mod(j,2)==0) a=a+1; v(i)=a; v(i+1)=a; en sefce . ??? . | Error: Missing variable or function. >> clear >> n=11 n = 11 >> d=1; >> i=1; >> v(i)=1 v = 1 >> for i=2:n-1, d=d if(mod(d,2)~=0) a=a+1; v(i)=a; d=d+1 end if(mod(j,2)==0) a=a+1; v(i)=a; v(i+1)=a; end .. ??? .. | Error: Missing variable or function. >> clear >> n=11; >> d=1; >> v(1)=1; >> for i=2:n-1, if(mod(d,2)~=0) a=a+1; v(i)=a; d=d+3 end if(mod(d,2)==0) a=a+1; v(i)=a; v(i+1)=a; d=d-2; end end ??? Undefined function or variable "a". >> a=1; >> for i=2:n-1, if(mod(d,2)~=0) a=a+1; v(i)=a; d=d+3 end if(mod(d,2)==0) a=a+1; v(i)=a; v(i+1)=a; d=d-2; end end d = 4 >> v v = 1 3 4 5 6 7 8 9 10 11 11 >> clear >> a=1; >> d=1; >> n=9; >> for i=2:n-1, if(mod(d,2)~=0) a=a+1; v(i)=a; d=d+3 end if(mod(d,2)==0) a=a+1; v(i)=a; v(i+1)=a; d=d-2; end end d = 4 >> v v = 0 3 4 5 6 7 8 9 9 >> clear >> a=1; >> d=1; >> n=9; >> for i=2:n-2, if(mod(d,2)~=0) a=a+1; v(i)=a; d=d+3 end if(mod(d,2)==0) a=a+1; v(i)=a; v(i+1)=a; d=d-2; end end d = 4 >> v v = 0 3 4 5 6 7 8 8 >> >> >> >> >> >> clear >> v(1)=1; >> v(10)=1; >> clear >> v(1)=123 v = 123 >> x=[1 2] x = 1 2 >> v(1)=x ??? In an assignment A(I) = B, the number of elements in B and I must be the same. >> v(1)=x' ??? In an assignment A(I) = B, the number of elements in B and I must be the same. >> clear >> a=1; >> d=1; >> n=11; >> for i=2:n-1, if(mod(d,2)~=0) a=a+1; v(i)=a; d=d+1; else for j=1:2, a=a+1; v(i)=a; v(i+1)=a; end end >> for i=2:n-1, if(mod(d,2)~=0) a=a+1; v(i)=a; d=d+1; else for j=1:2, a=a+1; v(i)=a; v(i+1)=a; end end end >> v v = 0 2 4 6 8 10 12 14 16 18 18 >> for i=2:n-1, if(mod(d,2)~=0) a=a+1; v(i)=a; else for j=1:2, a=a+1; v(i)=a; v(i+1)=a; end d=d+1; end end >> v v = 0 20 21 22 23 24 25 26 27 28 18 >> a=1 a = 1 >> clear >> a=1; >> i=1; >> n=11; >> for i=2:n-1, if(mod(d,2)~=0) a=a+1; v(i)=a; else for j=1, a=a+1; v(i)=a; v(i+1)=a; d=d+1; end d=d+1; end end ??? Undefined function or variable "d". >> d=1 d = 1 >> i=1; >> for i=2:n-1, if(mod(d,2)~=0) a=a+1; v(i)=a; else for j=1, a=a+1; v(i)=a; v(i+1)=a; d=d+1; end d=d+1; end end >> v v = 0 2 3 4 5 6 7 8 9 10 >> for i=2:n-1, if(mod(d,2)~=0) a=a+1; v(i)=a; else for j=1, a=a+1; v(i)=a; v(i+1)=a; d=d+1; end d=d+1; end end >> v v = 0 2 3 4 5 6 7 8 9 10 >> i=0 i = 0 >> a=1 a = 1 >> for i=2:n-1, if(mod(d,2)~=0) a=a+1; v(i)=a; d=d+1; else for j=1, a=a+1; v(i)=a; v(i+1)=a; d=d+1; end end end >> v v = 0 2 3 4 5 6 7 8 9 10 >> v=[-3:2:6] v = -3 -1 1 3 5 >> 5*0.75 ans = 3.7500 >> 0.25*5 ans = 1.2500 >> v=[1,1,2,3,3] v = 1 1 2 3 3 >> n=lenght(v) ??? Undefined command/function 'lenght'. >> n=length(v) n = 5 >> lav=n*0,75 lav = 0 ans = 75 >> lav=n*0.75 lav = 3.7500 >> lav=ceil(lav) lav = 4 >> prav=n*(1-0.75) prav = 1.2500 >> prav=ceil(prav) prav = 2 >> kvan=((v(lav)+v(n-prav))/2) kvan = 2.5000 >> kvan=((v(lav)+v(n-prav-1))/2) kvan = 2 >> kvan=((v(lav)+v(n-prav+1))/2) kvan = 3 >> v=[1,2,3,3] v = 1 2 3 3 >> n=length(v) n = 4 >> kvantil=0.75 kvantil = 0.7500 >> prav=ceil(n*kvantil) prav = 3 >> lav=ceil(n*(1-kvantil)) lav = 1 >> vyskvantil=((v(lav)+v(n-prav+1))/2) vyskvantil = 1.5000 >> lav=ceil(n*kvantil) lav = 3 >> prav=ceil(n*(1-kvantil)) prav = 1 >> vyskvantil=((v(lav)+v(n-prav+1))/2) vyskvantil = 3 >> median=(v) median = 1 2 3 3 >> median(v) ans = 1 2 3 3 >> median(v) ans = 1 2 3 3 >> median(v) ans = 1 2 3 3 >> x=median(v') x = 1 2 3 3 >> x=median(v) x = 1 2 3 3 >> median(v) ans = 1 2 3 3 >> median(v) ans = 1 2 3 3 >> x=median(v) x = 1 2 3 3 >> mean(v) ans = 2.2500 >> 9/4 ans = 2.2500 >> median(v) ans = 1 2 3 3 >> median(v) ans = 1 2 3 3 >> median(v) ans = 1 2 3 3 >> v v = 1 2 3 3 >> vv=v' vv = 1 2 3 3 >> median(vv) ans = 1 2 3 3 >> m=[1:3;4:6;7:9] m = 1 2 3 4 5 6 7 8 9 >> mean(m) ans = 4 5 6 >> mean(mean(m)) ans = 5 >> var(var(m)) ans = 0 >> m=[1:3;1:3;7:9] m = 1 2 3 1 2 3 7 8 9 >> mean(mean(m)) ans = 4 >> var(var(m)) ans = 0 >> var(m) ans = 12 12 12 >> var(m,1) ans = 8 8 8 >> var(m') ans = 1 1 1 >> var(m',1) ans = 0.6667 0.6667 0.6667 >> var(var(m',1)) ans = 0 >> m m = 1 2 3 1 2 3 7 8 9 >> var(m,2) ??? Error using ==> var W must be a vector of nonnegative weights, or a scalar 0 or 1. >> var(m,0) ans = 12 12 12 >> var(m,0) ans = 12 12 12 >> >> >> >> x=[1:10] x = 1 2 3 4 5 6 7 8 9 10 >> p=[2,6,4,5,8,7,2,1,9,4] p = 2 6 4 5 8 7 2 1 9 4 >> w=[] w = [] >> n=length(x) n = 10 >> for i=1:n, for j=1:p(i), w=[w,x(i)] end end w = 1 w = 1 1 w = 1 1 2 w = 1 1 2 2 w = 1 1 2 2 2 w = 1 1 2 2 2 2 w = 1 1 2 2 2 2 2 w = 1 1 2 2 2 2 2 2 w = 1 1 2 2 2 2 2 2 3 w = 1 1 2 2 2 2 2 2 3 3 w = 1 1 2 2 2 2 2 2 3 3 3 w = 1 1 2 2 2 2 2 2 3 3 3 3 w = 1 1 2 2 2 2 2 2 3 3 3 3 4 w = 1 1 2 2 2 2 2 2 3 3 3 3 4 4 w = 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 w = 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Column 17 4 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 18 4 5 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 19 4 5 5 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 20 4 5 5 5 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 21 4 5 5 5 5 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 22 4 5 5 5 5 5 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 23 4 5 5 5 5 5 5 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 24 4 5 5 5 5 5 5 5 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 25 4 5 5 5 5 5 5 5 5 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 26 4 5 5 5 5 5 5 5 5 6 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 27 4 5 5 5 5 5 5 5 5 6 6 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 28 4 5 5 5 5 5 5 5 5 6 6 6 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 29 4 5 5 5 5 5 5 5 5 6 6 6 6 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 30 4 5 5 5 5 5 5 5 5 6 6 6 6 6 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 31 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Column 33 7 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 34 7 7 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 35 7 7 8 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 36 7 7 8 9 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 37 7 7 8 9 9 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 38 7 7 8 9 9 9 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 39 7 7 8 9 9 9 9 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 40 7 7 8 9 9 9 9 9 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 41 7 7 8 9 9 9 9 9 9 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 42 7 7 8 9 9 9 9 9 9 9 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 43 7 7 8 9 9 9 9 9 9 9 9 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 44 7 7 8 9 9 9 9 9 9 9 9 9 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 45 7 7 8 9 9 9 9 9 9 9 9 9 10 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 46 7 7 8 9 9 9 9 9 9 9 9 9 10 10 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 47 7 7 8 9 9 9 9 9 9 9 9 9 10 10 10 w = Columns 1 through 16 1 1 2 2 2 2 2 2 3 3 3 3 4 4 4 4 Columns 17 through 32 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 Columns 33 through 48 7 7 8 9 9 9 9 9 9 9 9 9 10 10 10 10 >> m=round(rand(50,30)*7-2) m = Columns 1 through 16 3 5 4 -1 1 5 -1 3 4 2 0 -1 -1 3 1 -2 -1 -2 1 -1 1 5 4 1 0 3 5 3 5 2 1 2 2 -2 3 -1 4 1 -1 -1 0 -2 4 3 -1 -2 0 0 2 3 0 2 5 5 1 1 0 5 -2 2 5 -1 -2 2 4 4 3 3 1 1 1 -1 3 1 1 3 3 2 1 4 1 0 -1 1 -2 5 4 -2 1 3 1 0 5 4 4 2 -2 3 -1 4 4 5 1 -1 -2 4 3 1 3 1 0 1 5 0 2 4 -2 3 4 -2 -1 2 1 1 -2 3 0 4 -2 -1 -1 -2 -1 3 -2 4 3 2 2 4 0 -2 0 4 2 4 5 3 3 4 5 1 5 3 3 3 2 -2 1 2 5 -1 1 -1 -1 -2 4 4 3 0 2 0 0 2 0 1 4 3 -1 0 -2 1 5 4 4 5 -1 2 3 4 5 5 2 -1 0 4 -2 -1 0 1 -1 -1 -1 0 0 4 0 0 3 1 -1 -1 3 0 1 4 3 2 3 2 5 4 3 3 5 2 -2 -1 -2 -2 0 0 4 4 5 0 0 -1 4 3 1 2 0 4 3 4 -2 -1 4 4 0 5 -2 3 0 4 -1 2 4 3 0 -2 0 2 3 2 -1 3 4 0 -1 -1 2 -1 3 -1 2 1 3 -1 4 0 -2 1 5 4 0 4 2 3 3 4 2 -2 5 2 1 1 0 5 0 -1 3 2 1 0 1 0 2 3 -2 5 3 0 0 1 1 -1 -2 -2 3 3 1 -1 0 0 4 1 -2 0 1 -1 3 1 2 0 4 1 5 2 4 2 0 4 5 5 5 5 1 -1 2 -1 0 1 3 4 -1 1 5 1 1 2 3 3 -1 2 3 4 2 1 1 1 0 -1 0 0 0 3 3 2 5 -1 2 4 3 -1 5 2 4 -2 0 2 3 4 2 4 2 5 3 3 -2 4 -1 3 5 2 2 1 1 5 3 -2 -1 0 3 4 4 -2 2 -2 -2 2 2 1 4 4 3 0 -1 1 4 3 3 4 2 4 5 -1 4 0 2 1 -1 5 4 4 5 2 4 2 1 4 4 1 0 1 0 2 2 -1 3 0 4 1 4 -2 1 -2 5 3 0 3 -1 1 4 2 5 3 -1 -1 1 2 2 -1 2 1 0 2 2 4 -1 1 4 -1 5 0 1 3 4 1 5 -1 2 5 5 2 4 3 3 3 4 1 -1 3 -1 5 0 2 0 -1 5 4 -2 4 3 1 -2 1 4 4 1 2 0 4 3 2 3 1 5 -1 4 5 0 3 3 2 -2 3 -2 4 0 1 0 5 0 1 -1 -2 -1 0 2 1 0 1 0 4 1 1 1 -2 -2 4 -1 -2 2 -2 5 1 4 4 0 5 2 1 -2 5 3 -2 4 3 -1 3 1 2 3 4 1 3 3 5 0 3 0 3 3 2 5 2 1 -1 4 2 -2 1 -1 4 3 3 3 4 1 5 -2 -2 4 2 -1 -1 0 -2 0 -1 4 1 -1 0 0 1 1 1 -1 -1 1 0 0 -1 4 4 1 -1 4 0 1 2 -1 4 2 0 1 2 2 5 0 4 1 4 3 1 -1 1 2 1 0 0 0 -1 4 2 -1 0 0 5 4 3 1 1 3 3 1 4 4 3 0 -1 1 3 -1 -1 4 5 2 1 0 1 0 1 -1 2 2 1 2 -2 2 0 3 1 2 4 2 3 2 2 1 -1 2 4 -1 2 4 4 3 1 0 4 0 5 5 4 5 4 -1 -1 1 3 0 3 4 -1 5 4 -1 0 -2 1 -2 -1 -2 0 3 -1 1 2 4 2 2 4 3 2 4 2 0 -2 0 4 0 2 -2 2 4 1 1 4 4 2 3 -1 -1 3 1 0 4 -1 -1 -2 2 -1 3 3 3 4 Columns 17 through 30 1 -1 0 -2 1 0 4 3 4 0 3 2 4 4 3 -1 1 0 1 -1 1 3 1 4 1 4 -1 -1 3 2 2 -1 5 5 0 1 -1 -2 1 0 1 1 4 0 1 -2 3 1 -2 2 3 5 4 0 1 4 -2 -1 3 3 5 -2 3 0 2 -1 3 2 2 1 -2 2 -2 2 0 -2 2 1 4 1 -1 4 4 2 2 1 3 2 1 -2 3 -1 -1 1 -1 2 2 -1 0 0 3 5 -2 4 5 4 1 3 -1 3 -1 2 -2 5 5 0 3 4 1 -1 -1 2 2 3 -2 -1 4 1 1 -1 4 3 -2 1 3 2 4 5 4 3 -2 0 -2 2 2 -1 4 0 -1 3 0 2 1 1 0 4 1 1 -1 0 0 -1 2 0 -2 1 4 3 0 0 3 1 3 4 2 5 -1 5 -1 3 5 -2 4 -2 3 -2 1 4 3 3 -2 0 1 5 1 0 -2 5 -1 0 -1 -1 -2 2 -2 2 4 1 0 1 1 1 5 5 0 2 2 4 -1 1 4 5 0 -1 2 2 2 2 3 -2 -2 3 2 2 5 2 1 3 1 2 4 3 -2 -1 -2 1 3 -2 3 2 2 -2 -1 5 0 2 -1 -2 3 2 2 5 4 1 2 0 4 0 3 3 4 4 4 0 2 -2 1 4 3 -2 5 3 1 -1 1 2 5 -1 0 2 3 2 5 1 4 -1 4 1 4 0 4 4 3 3 0 4 0 1 1 1 -2 -2 4 3 3 -1 -1 2 4 1 -1 0 3 -1 0 4 -1 0 1 5 2 0 -1 -1 4 4 2 0 2 4 4 0 4 2 5 2 1 -1 0 0 -1 2 3 0 0 1 3 3 0 -1 2 3 1 -1 0 -2 3 4 3 0 2 2 2 0 2 0 3 0 -2 0 5 3 5 0 -1 2 4 3 0 2 0 -1 -2 1 2 -1 1 3 2 0 0 4 3 -1 -1 3 5 -1 3 3 -1 1 3 -1 3 -2 -1 1 0 4 4 1 2 4 1 5 1 3 4 1 2 -2 0 0 3 -2 -1 3 3 4 -1 4 3 4 0 4 -1 3 4 5 0 5 1 4 3 4 4 -1 2 2 -1 3 -1 3 4 2 1 0 2 2 4 0 0 3 2 -1 -1 2 1 1 2 2 4 1 5 2 3 5 3 0 2 2 3 1 1 0 3 2 3 2 -1 -1 3 0 -2 4 0 5 -1 3 4 0 2 -2 3 3 5 1 -1 5 5 4 3 1 3 0 1 4 2 5 -2 4 -2 1 2 -1 3 -1 -1 2 -1 3 2 -1 2 3 3 4 5 0 -2 1 1 -2 0 -2 2 1 2 0 -2 1 2 0 4 2 5 3 1 3 -1 -1 3 1 3 1 4 -1 3 0 5 1 2 0 0 3 3 0 -1 4 0 0 -2 2 3 5 3 3 4 0 4 1 2 0 0 1 1 2 -1 5 5 -1 1 -2 2 3 1 4 4 2 -1 0 3 -1 3 0 -2 -1 0 4 2 5 3 4 1 1 1 5 5 1 4 -1 -2 4 0 3 5 3 4 -1 0 -2 1 4 0 3 0 1 -1 4 1 -1 4 3 0 3 0 2 0 1 5 3 0 3 3 1 5 -1 -1 3 -2 1 0 -2 1 -1 2 0 3 5 4 1 -1 -2 -1 4 2 3 4 0 >> [i k]=size(m) i = 50 k = 30 >> n=m(:,[1:2:k]) n = 3 4 1 -1 4 0 -1 1 1 0 1 4 4 3 4 -1 1 1 4 0 5 5 1 3 1 1 1 1 1 -1 2 3 4 -1 0 4 -1 0 3 2 5 0 -1 1 1 2 0 5 1 0 -2 5 -2 4 1 3 -2 3 4 1 4 3 1 1 3 1 3 1 -2 3 5 3 2 3 2 1 -1 -2 4 1 1 5 4 -2 -2 0 2 4 -1 4 -2 -1 4 1 -2 3 3 0 2 3 1 3 -1 -1 2 5 2 -2 4 -1 1 -2 0 0 3 -2 5 1 -1 -1 -2 -1 -1 -2 3 2 0 0 -2 5 3 1 -1 2 -2 2 5 3 5 5 3 2 1 4 1 4 -2 3 4 4 5 1 -1 4 3 2 0 0 -2 -2 2 4 -1 0 1 4 -1 -2 5 4 -1 3 5 0 1 -1 0 2 -2 4 2 0 -2 0 -1 -1 0 0 0 3 3 2 -1 -1 5 3 -1 3 1 3 3 5 3 4 3 1 3 -2 1 1 5 -2 -2 0 4 5 0 4 -2 -1 -1 -2 -2 4 0 1 0 3 -2 4 0 -2 0 1 5 0 2 -1 4 0 -1 4 0 0 3 -1 4 -1 2 2 3 -2 2 5 1 2 3 2 3 4 -2 5 0 1 4 -2 -2 3 3 2 2 3 2 5 1 0 0 3 -1 0 -1 3 2 4 2 1 1 2 -2 3 0 1 -2 4 3 4 4 2 1 3 3 1 0 4 -2 1 3 2 5 1 1 5 0 3 5 4 5 4 0 5 5 1 2 4 4 4 4 3 0 0 0 3 -1 5 1 3 -1 3 1 -2 4 3 -1 4 -1 2 1 0 0 0 3 5 2 3 0 -1 1 2 -1 4 3 5 4 0 3 2 2 3 2 2 4 4 5 1 0 -2 -1 5 2 1 3 -1 3 -1 3 0 3 0 2 1 4 2 -2 2 4 3 -1 4 0 3 3 2 2 2 3 3 2 5 4 2 -1 4 5 -2 5 5 -1 4 0 0 4 1 4 0 0 2 3 4 -2 2 1 2 0 3 -1 4 1 5 0 -1 4 5 -1 5 3 -1 3 3 -1 0 1 2 2 0 2 -1 4 5 4 2 1 1 4 2 0 1 4 5 2 5 4 3 4 3 -1 3 -1 3 0 -1 -1 -1 0 0 5 -2 3 -2 4 0 1 3 4 2 -1 4 1 0 3 3 5 4 0 -1 4 1 2 4 0 2 3 -2 -2 0 0 0 -1 -1 -1 1 2 4 5 3 3 2 0 0 1 1 -2 -1 2 2 3 1 3 3 -1 3 5 4 0 2 -2 3 4 -1 -2 0 -1 4 2 3 5 1 3 1 3 0 0 3 5 -1 5 3 3 1 2 -2 1 4 -2 -1 3 3 1 -2 -2 2 3 -1 -1 2 2 4 -1 0 0 4 -1 0 1 3 5 -2 1 0 2 2 -1 1 0 4 1 4 1 -1 -2 2 4 5 1 -1 3 2 1 2 0 1 3 -1 2 3 4 3 5 2 0 3 0 0 4 -1 0 4 1 3 -1 0 -2 3 3 4 4 1 4 0 1 -1 4 2 0 2 0 1 -1 5 1 2 0 -1 2 2 2 3 2 2 1 4 -1 3 3 -2 0 2 1 2 -1 4 3 0 0 2 3 1 1 5 4 -2 5 5 -1 1 0 4 5 -1 0 5 4 0 1 0 0 -2 -2 -2 3 1 4 2 3 -1 1 4 0 0 0 5 4 0 0 0 -2 4 1 4 0 3 5 -1 -2 0 1 3 -1 1 4 -1 2 3 3 2 3 4 -1 -1 2 4 >> sum(sum(n)) ans = 1168 >> sum(n) ans = 98 65 55 70 80 92 91 71 48 102 84 86 79 70 77 >> x=sum(n) x = 98 65 55 70 80 92 91 71 48 102 84 86 79 70 77 >> sum(x) ans = 1168 >> m=round(rand(30,50)*8-3) m = Columns 1 through 16 -3 0 2 3 1 -3 0 -2 4 1 4 5 -1 1 -3 0 3 3 1 5 1 -1 -2 1 -1 -2 -2 -2 -2 2 3 -2 1 -2 4 2 2 3 4 5 0 0 1 4 -1 3 0 5 -3 2 2 2 5 0 0 0 2 -2 0 -2 4 5 -1 4 -2 -1 2 4 -1 1 -1 0 4 1 -1 -1 4 4 4 1 5 3 1 1 5 1 4 3 2 -3 -3 -2 2 -3 -2 1 2 -1 5 1 4 -2 2 -2 -2 2 0 3 4 0 0 1 -1 1 0 -1 2 5 1 -2 2 0 -2 1 5 2 2 5 4 4 -1 2 -1 0 -2 -2 2 0 -2 2 5 -3 -3 -3 0 4 -2 3 4 -1 4 4 0 -1 0 4 4 2 0 -1 -3 1 2 0 -2 4 3 3 1 1 2 2 1 1 5 0 4 0 2 1 5 -1 0 0 1 1 3 5 4 2 2 -2 5 1 3 1 2 -1 1 -1 1 3 0 -1 -1 -2 -2 3 2 1 1 -2 2 -1 2 2 0 1 -2 3 0 1 -1 2 3 4 -2 5 -3 2 2 5 2 1 0 -2 2 0 -2 -1 1 -1 -2 -1 3 2 3 2 4 -1 5 2 -1 4 -1 1 2 -1 4 -2 4 0 1 -1 4 2 1 2 -1 0 3 -1 0 2 -3 4 -3 4 2 3 1 2 4 3 1 -1 3 -3 0 4 4 2 1 4 -1 -3 5 2 -2 0 -3 4 2 -2 1 3 1 0 2 -3 1 3 2 2 1 0 -2 0 -3 1 -3 -1 -1 4 -1 4 -1 -1 -3 3 4 -1 1 0 4 4 5 -2 5 -2 0 0 -2 -1 -2 -2 5 4 0 3 -1 4 -1 3 2 1 5 1 -1 5 1 4 1 3 0 2 1 3 -1 3 -1 3 -1 -3 4 2 2 5 0 3 4 -2 -3 -1 2 -1 4 2 2 -1 2 -3 -2 2 -1 -2 -1 -2 2 1 1 4 3 -1 -1 -1 3 -2 -1 -2 0 3 2 0 0 3 0 2 4 0 -2 0 4 0 5 2 4 -2 4 1 3 3 0 2 -2 2 5 3 1 3 0 -2 -2 -3 -3 3 0 -3 3 5 1 0 -1 -3 0 -2 0 5 -1 1 4 5 4 -1 -2 -1 1 2 -2 -1 0 -3 -2 3 -3 2 0 1 0 -2 Columns 17 through 32 -1 -1 -1 3 -2 -1 3 -1 1 3 -3 4 -1 -2 4 -3 -2 1 0 0 2 3 0 3 5 0 -1 1 3 -1 -1 2 -3 5 1 -3 2 -2 -3 -1 -2 2 -3 4 -1 4 4 4 0 -2 0 0 3 1 -2 3 -2 -1 4 4 1 3 3 3 -1 1 4 0 1 -2 4 0 0 2 -1 2 -3 2 0 1 -2 -1 -1 3 0 3 1 2 2 2 4 4 1 -1 -1 4 0 3 0 0 -1 -1 -3 1 5 4 0 -1 0 3 3 -1 -1 1 0 3 2 1 -2 1 -3 2 1 1 4 4 0 0 4 3 0 5 4 2 -2 -3 -2 5 0 0 -2 1 -1 5 -3 -1 -1 3 3 -3 -2 0 -2 4 5 0 -3 1 4 1 5 3 2 -2 3 4 3 -3 2 -3 2 1 2 4 3 1 5 -3 -1 0 3 5 -1 -3 4 4 -1 -2 2 4 3 -3 5 3 5 3 4 -1 3 1 -2 -1 2 2 2 2 -1 2 4 5 0 -1 -1 -2 1 1 2 5 5 -3 0 1 2 2 -3 0 -1 3 -1 -1 5 5 -1 3 2 -3 1 -3 -2 3 -1 0 -3 -1 -1 1 5 3 5 3 -3 1 0 -1 -2 2 3 1 3 0 3 4 -3 -2 0 4 0 -2 5 2 2 0 -2 3 1 4 4 0 5 2 1 1 2 3 4 4 -1 5 4 -1 -2 5 -1 1 0 3 1 5 -1 3 5 3 3 1 1 4 -3 3 0 1 1 -2 2 3 4 -1 0 0 -2 4 5 3 -1 2 3 2 3 2 0 1 -1 -1 4 0 -1 0 0 1 3 -3 -3 3 4 4 -2 -1 -1 5 1 1 0 1 3 0 4 0 1 3 1 1 2 1 -1 0 2 -1 2 3 -3 -2 -2 -1 2 -1 -2 3 1 -2 -1 1 1 0 0 2 2 2 2 1 1 -2 1 2 1 1 4 4 5 0 2 -1 0 -1 2 2 -3 -2 2 -3 -2 -1 1 -2 4 -1 0 -1 2 0 -1 -1 5 -2 -1 -2 0 3 1 0 2 -1 0 0 -1 -1 3 2 -3 0 -1 1 1 3 2 4 0 -1 3 2 4 2 5 -2 -3 3 5 0 3 1 2 3 -1 0 4 2 -2 4 4 4 -2 0 5 5 3 3 2 3 4 1 -1 -3 Columns 33 through 48 5 1 -2 4 3 4 0 4 0 3 -2 0 -3 3 0 -3 0 3 3 4 0 -1 3 3 -1 1 4 0 -3 -2 1 2 -1 4 3 1 4 -3 5 -3 5 1 0 -2 1 5 0 -2 -1 1 -2 5 1 0 3 1 3 5 4 3 0 4 -1 5 -3 1 -3 2 4 -1 3 3 3 3 5 4 1 -1 2 0 1 3 -3 5 -2 -3 2 -1 5 2 0 3 0 3 5 -2 2 3 0 5 0 4 1 3 -3 4 2 -1 4 -1 1 4 -1 2 1 -2 4 4 0 3 -1 -2 2 4 1 2 4 2 -1 -2 -3 0 4 4 -2 4 5 -3 -2 -3 4 2 -2 0 -2 0 4 0 3 0 0 -2 4 0 3 2 1 4 3 0 1 2 3 4 -2 0 0 -1 -2 -2 3 1 3 1 3 -2 0 3 4 3 0 2 0 5 1 2 1 -1 0 5 -1 0 -3 -2 3 2 -2 2 2 4 2 1 -2 1 1 -2 2 4 2 -1 2 3 4 5 -1 3 1 3 -1 -2 -3 0 -3 -2 5 -3 3 4 -3 -1 -3 -2 -2 -3 3 4 -1 3 4 2 1 1 -1 4 0 4 -2 3 2 -2 2 0 1 4 -2 0 0 1 -2 4 -1 1 -3 1 3 1 -1 -3 4 0 2 -1 5 -1 -1 2 3 2 3 4 1 4 0 -2 -1 5 -1 0 1 -2 -2 2 1 3 1 -1 4 1 -2 3 -3 1 -2 4 2 1 2 -2 1 2 2 2 -2 1 5 2 -3 4 0 3 1 4 2 2 -2 3 1 -2 3 -3 1 -1 -1 1 2 -2 4 -2 -1 3 2 2 0 0 2 3 -1 4 -1 0 -2 0 4 1 -2 1 2 3 2 -1 1 2 4 -1 4 -1 0 0 -1 -1 4 4 1 3 1 3 -3 -1 3 1 2 -1 0 3 -2 2 2 4 2 5 3 -2 4 0 3 -2 4 4 4 3 1 -1 1 1 2 4 -3 0 1 4 -3 4 0 3 2 5 3 2 -3 0 -2 4 -1 0 -1 3 4 4 -1 3 2 4 -1 -3 -3 2 5 2 3 5 -2 -2 3 -3 2 3 3 1 5 -3 4 5 -3 -2 0 1 3 -2 1 1 3 -2 -1 0 1 3 -2 4 1 4 2 5 -3 2 1 -3 4 3 -3 0 Columns 49 through 50 -2 4 -2 -1 5 1 2 4 1 2 -1 1 5 -1 2 1 1 2 -1 2 0 0 4 2 2 1 -2 4 1 -2 4 3 4 -3 -2 2 -2 5 1 4 3 4 2 3 0 4 3 0 1 -1 3 -2 1 5 0 1 -1 2 -1 4 >> [i,k]=size(m) i = 30 k = 50 >> n=m([1:2:],:) ??? n=m([1:2:],:) | Error: Unbalanced or misused parentheses or brackets. >> n=m([1:2:i],:) n = Columns 1 through 16 -3 0 2 3 1 -3 0 -2 4 1 4 5 -1 1 -3 0 1 -2 4 2 2 3 4 5 0 0 1 4 -1 3 0 5 -2 -1 2 4 -1 1 -1 0 4 1 -1 -1 4 4 4 1 2 -1 5 1 4 -2 2 -2 -2 2 0 3 4 0 0 1 4 4 -1 2 -1 0 -2 -2 2 0 -2 2 5 -3 -3 -3 -3 1 2 0 -2 4 3 3 1 1 2 2 1 1 5 0 5 1 3 1 2 -1 1 -1 1 3 0 -1 -1 -2 -2 3 3 4 -2 5 -3 2 2 5 2 1 0 -2 2 0 -2 -1 2 -1 4 -2 4 0 1 -1 4 2 1 2 -1 0 3 -1 0 4 4 2 1 4 -1 -3 5 2 -2 0 -3 4 2 -2 -3 -1 -1 4 -1 4 -1 -1 -3 3 4 -1 1 0 4 4 -1 3 2 1 5 1 -1 5 1 4 1 3 0 2 1 3 2 -1 4 2 2 -1 2 -3 -2 2 -1 -2 -1 -2 2 1 0 2 4 0 -2 0 4 0 5 2 4 -2 4 1 3 3 3 5 1 0 -1 -3 0 -2 0 5 -1 1 4 5 4 -1 Columns 17 through 32 -1 -1 -1 3 -2 -1 3 -1 1 3 -3 4 -1 -2 4 -3 -3 5 1 -3 2 -2 -3 -1 -2 2 -3 4 -1 4 4 4 -1 1 4 0 1 -2 4 0 0 2 -1 2 -3 2 0 1 0 3 0 0 -1 -1 -3 1 5 4 0 -1 0 3 3 -1 4 3 0 5 4 2 -2 -3 -2 5 0 0 -2 1 -1 5 5 3 2 -2 3 4 3 -3 2 -3 2 1 2 4 3 1 5 3 5 3 4 -1 3 1 -2 -1 2 2 2 2 -1 2 -3 0 -1 3 -1 -1 5 5 -1 3 2 -3 1 -3 -2 3 3 1 3 0 3 4 -3 -2 0 4 0 -2 5 2 2 0 4 -1 -2 5 -1 1 0 3 1 5 -1 3 5 3 3 1 5 3 -1 2 3 2 3 2 0 1 -1 -1 4 0 -1 0 3 0 4 0 1 3 1 1 2 1 -1 0 2 -1 2 3 2 2 2 1 1 -2 1 2 1 1 4 4 5 0 2 -1 2 0 -1 -1 5 -2 -1 -2 0 3 1 0 2 -1 0 0 4 2 5 -2 -3 3 5 0 3 1 2 3 -1 0 4 2 Columns 33 through 48 5 1 -2 4 3 4 0 4 0 3 -2 0 -3 3 0 -3 -1 4 3 1 4 -3 5 -3 5 1 0 -2 1 5 0 -2 -3 1 -3 2 4 -1 3 3 3 3 5 4 1 -1 2 0 2 3 0 5 0 4 1 3 -3 4 2 -1 4 -1 1 4 -1 -2 -3 0 4 4 -2 4 5 -3 -2 -3 4 2 -2 0 1 2 3 4 -2 0 0 -1 -2 -2 3 1 3 1 3 -2 -3 -2 3 2 -2 2 2 4 2 1 -2 1 1 -2 2 4 5 -3 3 4 -3 -1 -3 -2 -2 -3 3 4 -1 3 4 2 0 1 -2 4 -1 1 -3 1 3 1 -1 -3 4 0 2 -1 1 -2 -2 2 1 3 1 -1 4 1 -2 3 -3 1 -2 4 1 4 2 2 -2 3 1 -2 3 -3 1 -1 -1 1 2 -2 4 1 -2 1 2 3 2 -1 1 2 4 -1 4 -1 0 0 -2 2 2 4 2 5 3 -2 4 0 3 -2 4 4 4 3 3 2 -3 0 -2 4 -1 0 -1 3 4 4 -1 3 2 4 5 -3 4 5 -3 -2 0 1 3 -2 1 1 3 -2 -1 0 Columns 49 through 50 -2 4 5 1 1 2 5 -1 1 2 0 0 2 1 1 -2 4 -3 -2 5 3 4 0 4 1 -1 1 5 -1 2 >> vysmatica=sum(n) vysmatica = Columns 1 through 16 10 17 33 25 10 9 13 1 22 29 10 13 17 14 18 13 Columns 17 through 32 29 24 20 14 19 7 16 3 8 31 3 16 20 14 22 17 Columns 33 through 48 17 9 3 40 5 26 9 8 25 6 17 5 20 16 17 11 Columns 49 through 50 19 23 >> m=round(rand(30,50)*8-3) m = Columns 1 through 16 3 -2 4 5 0 -1 -2 -2 -2 0 4 -3 3 -1 -2 3 0 -3 0 -2 2 -1 2 3 3 4 0 -1 -2 5 -2 0 1 2 1 2 2 -2 0 0 1 5 2 2 -2 -1 3 -1 4 -2 0 4 4 0 3 2 3 -1 -1 4 -1 -1 3 2 0 2 1 0 3 3 3 -1 4 3 0 -1 -2 4 -2 -1 1 -1 -1 -2 0 2 -1 2 0 5 -3 2 -1 3 3 1 4 -2 1 -2 2 3 -2 4 4 -2 2 2 3 4 -3 2 4 0 2 0 2 3 4 1 3 3 -1 2 4 1 0 -2 -1 -2 5 3 4 -1 5 -3 5 0 3 -2 -2 1 4 1 1 5 0 0 3 4 4 1 -1 3 5 3 3 4 0 1 -2 2 4 -2 2 0 -2 1 3 -2 2 -2 4 -1 4 2 4 -3 0 -2 4 1 -1 3 0 -1 4 0 1 4 3 0 3 2 5 3 2 0 5 1 -2 0 3 4 3 -2 5 0 0 4 2 3 -1 3 1 -3 2 3 4 5 -1 0 4 2 0 4 0 -2 -3 5 -2 1 0 5 1 -1 -2 0 4 4 -2 0 -2 5 3 0 1 1 -3 1 -2 2 -3 1 1 -3 1 2 -1 0 0 -2 3 4 3 0 -2 3 2 3 0 4 2 4 3 2 -1 -2 -2 -2 -2 -1 1 4 4 -3 -1 0 3 -1 1 -2 5 4 1 1 -2 -2 -2 0 3 0 2 -3 -1 0 2 -2 1 3 3 2 1 -3 4 3 -2 2 4 0 -2 1 -1 3 0 -3 4 0 1 4 3 3 2 5 2 -1 3 -1 -2 3 1 0 2 0 4 0 0 0 -2 0 2 2 2 -2 -1 4 5 -2 5 -1 3 4 5 3 5 2 3 3 2 0 4 -3 -1 0 1 0 3 0 2 4 2 -3 -2 -1 0 -2 0 0 0 -3 3 1 -1 1 3 2 -2 4 -2 -1 3 3 -1 3 -2 -2 2 -3 -1 2 0 -3 0 3 4 1 3 3 -2 5 -3 -1 -2 5 4 -2 3 4 3 5 3 4 4 -1 -2 -2 1 0 5 1 3 2 -1 2 0 1 -2 1 -3 3 5 0 4 3 3 4 -2 3 1 1 0 2 -2 3 0 0 1 3 -1 3 4 3 2 0 3 1 2 4 -1 0 Columns 17 through 32 0 -1 -1 -3 -1 3 -1 1 -3 1 -2 -1 4 -3 3 3 -1 3 0 1 2 1 4 4 3 4 -2 -1 -2 -1 1 1 4 3 -3 3 -1 5 -2 3 1 -1 2 3 3 0 2 -3 4 -2 -1 1 5 0 4 1 4 2 4 0 -1 0 -1 -2 2 0 0 1 2 1 5 4 -1 1 -2 2 1 4 -2 -2 -2 -1 5 -3 -1 0 -2 2 1 1 1 1 3 0 -3 0 2 -3 2 -1 0 -1 -2 4 0 3 -1 -2 2 0 3 -2 0 0 0 -2 3 -1 1 -1 1 1 3 2 3 3 -1 -2 0 3 1 5 -2 4 3 3 -1 3 -3 2 4 -2 -1 -3 2 0 5 4 4 -2 2 4 5 0 1 3 -1 1 1 0 2 5 1 5 2 -3 -2 3 0 -1 -2 0 3 3 4 -3 0 1 1 2 -2 -2 -1 0 0 3 4 2 -2 1 -3 2 -1 1 3 -2 -2 1 0 -3 3 4 2 2 4 -3 1 4 1 2 1 5 1 -2 2 4 2 3 1 -2 3 3 5 -1 -1 5 3 -2 0 0 4 -2 -1 2 2 0 4 -1 3 4 2 -1 5 -3 1 1 0 -2 0 3 5 0 1 2 -3 2 -2 3 3 5 0 1 -2 -3 4 2 -3 0 3 -3 -3 2 3 1 1 2 -3 -1 4 -3 -1 0 1 1 3 2 -1 0 4 0 0 -1 -1 0 -2 -1 2 3 -2 -1 -1 -2 -2 0 5 1 4 -2 -2 5 1 0 3 -2 -1 3 1 -2 0 3 2 -1 -2 1 5 0 5 -2 2 -1 3 2 1 1 -3 0 1 0 4 1 2 5 1 0 3 -2 3 3 0 3 5 3 2 4 3 4 2 2 2 1 -1 1 0 -2 1 -3 4 -2 4 1 -1 0 0 2 0 0 3 2 4 4 -2 -2 3 4 5 3 3 0 -2 -2 -1 3 -2 4 0 2 5 -3 1 4 4 5 2 0 -2 1 0 -2 5 5 -1 -1 3 -1 4 2 -2 2 0 1 -2 4 -3 2 -2 3 -1 2 -2 0 -2 1 3 -3 2 -3 -1 -2 -2 2 1 0 3 3 5 4 -1 4 5 1 0 4 3 -1 4 -2 5 -1 4 -2 5 3 5 0 3 0 0 0 4 2 0 0 -3 -2 2 0 -3 5 3 -1 Columns 33 through 48 1 -2 4 4 2 2 -2 0 2 1 -2 -1 -3 -1 5 3 0 4 0 0 3 -1 -3 5 2 4 3 3 2 -2 0 2 -3 4 2 3 2 3 3 1 0 2 3 2 0 -3 4 0 1 1 2 -1 1 -2 2 -1 -2 4 -1 5 -2 -3 3 -3 3 1 -2 -3 -1 4 0 2 5 -1 -2 5 1 -1 4 0 3 3 5 1 3 1 -2 -2 1 3 -3 -2 0 -2 2 0 -2 1 5 4 3 -1 -2 2 4 0 -2 3 0 -2 0 0 3 0 -2 3 4 -1 0 2 -2 2 4 -2 -1 0 4 3 -1 3 -3 0 -2 0 -1 2 2 2 -1 -3 4 -3 3 1 -3 -1 0 3 -3 0 3 -3 4 4 4 3 2 0 0 -1 -2 -2 -1 -2 3 -3 1 4 -1 5 -1 -2 0 -3 0 -1 3 5 2 2 3 4 -1 -3 -1 2 4 -2 3 2 4 3 -1 -1 2 3 5 4 -2 -2 4 -2 4 4 2 -3 4 4 3 -1 1 0 -2 0 5 -1 -1 -2 1 4 -3 -2 4 1 5 -2 -1 2 4 4 2 3 3 2 4 1 3 -2 -2 3 -3 5 -3 4 4 -1 1 -2 -2 1 5 0 -1 1 2 0 0 -3 1 0 3 -1 3 -1 0 2 3 3 5 3 0 2 0 1 -1 -1 1 3 5 0 2 4 4 1 3 3 2 0 2 5 1 2 -2 0 -2 -3 0 4 3 4 0 4 4 1 1 -2 1 2 4 5 1 5 1 -1 3 2 3 2 4 1 -1 1 4 2 4 -1 1 -1 2 1 1 1 1 -3 3 1 1 -2 -2 -1 3 -3 0 3 2 3 -3 3 1 2 1 4 0 5 -2 -1 2 4 -3 4 5 1 3 2 2 -2 0 -2 -1 4 5 -1 2 5 0 4 0 4 3 0 -3 1 -2 -2 -1 0 0 -1 -1 0 0 3 4 4 4 -2 2 4 4 2 4 -2 5 3 -2 0 -3 2 2 3 0 3 1 -3 -1 -1 -2 5 2 -2 0 -3 -3 1 3 -2 1 5 5 0 3 2 5 1 4 3 -1 5 -2 2 -1 -3 0 -2 -1 -1 -1 1 5 1 4 -3 -1 4 4 2 0 -1 -2 -2 -2 -1 -3 2 -1 1 0 0 2 4 4 2 2 0 4 3 2 5 5 -2 Columns 49 through 50 2 -2 -3 2 3 -3 1 5 1 4 -2 -1 0 4 -1 -3 -1 1 -1 -1 0 3 1 1 0 4 -1 3 -1 1 5 -3 4 3 0 -1 2 2 -2 -2 -1 -3 3 -2 3 -1 5 -1 -2 1 0 -2 -2 -3 4 2 4 2 5 -2 >> [i,k]=size(m) i = 30 k = 50 >> n=m([1:2:i],:) n = Columns 1 through 16 3 -2 4 5 0 -1 -2 -2 -2 0 4 -3 3 -1 -2 3 1 2 1 2 2 -2 0 0 1 5 2 2 -2 -1 3 -1 0 2 1 0 3 3 3 -1 4 3 0 -1 -2 4 -2 -1 4 -2 1 -2 2 3 -2 4 4 -2 2 2 3 4 -3 2 -1 -2 5 3 4 -1 5 -3 5 0 3 -2 -2 1 4 1 -2 2 4 -2 2 0 -2 1 3 -2 2 -2 4 -1 4 2 3 2 5 3 2 0 5 1 -2 0 3 4 3 -2 5 0 0 4 0 -2 -3 5 -2 1 0 5 1 -1 -2 0 4 4 1 2 -1 0 0 -2 3 4 3 0 -2 3 2 3 0 4 3 -1 1 -2 5 4 1 1 -2 -2 -2 0 3 0 2 -3 -2 1 -1 3 0 -3 4 0 1 4 3 3 2 5 2 -1 2 -2 -1 4 5 -2 5 -1 3 4 5 3 5 2 3 3 0 -2 0 0 0 -3 3 1 -1 1 3 2 -2 4 -2 -1 3 3 -2 5 -3 -1 -2 5 4 -2 3 4 3 5 3 4 -3 3 5 0 4 3 3 4 -2 3 1 1 0 2 -2 3 Columns 17 through 32 0 -1 -1 -3 -1 3 -1 1 -3 1 -2 -1 4 -3 3 3 4 3 -3 3 -1 5 -2 3 1 -1 2 3 3 0 2 -3 2 0 0 1 2 1 5 4 -1 1 -2 2 1 4 -2 -2 2 -3 2 -1 0 -1 -2 4 0 3 -1 -2 2 0 3 -2 0 3 1 5 -2 4 3 3 -1 3 -3 2 4 -2 -1 -3 2 5 1 5 2 -3 -2 3 0 -1 -2 0 3 3 4 -3 -1 1 3 -2 -2 1 0 -3 3 4 2 2 4 -3 1 4 -1 5 3 -2 0 0 4 -2 -1 2 2 0 4 -1 3 4 -2 3 3 5 0 1 -2 -3 4 2 -3 0 3 -3 -3 2 4 0 0 -1 -1 0 -2 -1 2 3 -2 -1 -1 -2 -2 0 2 -1 -2 1 5 0 5 -2 2 -1 3 2 1 1 -3 0 2 4 3 4 2 2 2 1 -1 1 0 -2 1 -3 4 -2 5 3 3 0 -2 -2 -1 3 -2 4 0 2 5 -3 1 4 -2 2 0 1 -2 4 -3 2 -2 3 -1 2 -2 0 -2 1 5 1 0 4 3 -1 4 -2 5 -1 4 -2 5 3 5 0 Columns 33 through 48 1 -2 4 4 2 2 -2 0 2 1 -2 -1 -3 -1 5 3 -3 4 2 3 2 3 3 1 0 2 3 2 0 -3 4 0 3 1 -2 -3 -1 4 0 2 5 -1 -2 5 1 -1 4 0 -2 1 5 4 3 -1 -2 2 4 0 -2 3 0 -2 0 0 -1 3 -3 0 -2 0 -1 2 2 2 -1 -3 4 -3 3 1 -2 -2 -1 -2 3 -3 1 4 -1 5 -1 -2 0 -3 0 -1 -1 -1 2 3 5 4 -2 -2 4 -2 4 4 2 -3 4 4 5 -2 -1 2 4 4 2 3 3 2 4 1 3 -2 -2 3 0 -3 1 0 3 -1 3 -1 0 2 3 3 5 3 0 2 2 5 1 2 -2 0 -2 -3 0 4 3 4 0 4 4 1 -1 1 4 2 4 -1 1 -1 2 1 1 1 1 -3 3 1 0 5 -2 -1 2 4 -3 4 5 1 3 2 2 -2 0 -2 -1 0 0 -1 -1 0 0 3 4 4 4 -2 2 4 4 2 -2 5 2 -2 0 -3 -3 1 3 -2 1 5 5 0 3 2 5 1 4 -3 -1 4 4 2 0 -1 -2 -2 -2 -1 -3 2 Columns 49 through 50 2 -2 3 -3 1 4 0 4 -1 1 0 3 0 4 -1 1 4 3 2 2 -1 -3 3 -1 -2 1 -2 -3 4 2 >> x=sum(n) x = Columns 1 through 16 12 10 22 17 23 3 22 15 19 17 28 15 18 25 19 19 Columns 17 through 32 22 25 13 20 3 14 8 11 6 23 -3 7 37 -9 13 3 Columns 33 through 48 3 16 16 8 21 16 -1 17 33 18 16 20 20 -13 29 18 Columns 49 through 50 12 13 >> v=x' v = 12 10 22 17 23 3 22 15 19 17 28 15 18 25 19 19 22 25 13 20 3 14 8 11 6 23 -3 7 37 -9 13 3 3 16 16 8 21 16 -1 17 33 18 16 20 20 -13 29 18 12 13 >> m=round(rand(50,30)*7-2) m = Columns 1 through 16 1 4 4 3 3 1 -1 2 1 5 4 3 3 4 1 4 1 1 -1 4 3 1 4 0 0 -1 3 5 0 0 2 -1 2 4 1 4 0 4 2 4 1 3 -1 5 0 5 0 2 1 -1 4 5 5 -1 3 -2 -1 3 1 0 1 5 2 5 0 0 1 5 2 5 -1 0 -1 -2 4 4 3 2 3 0 4 0 4 -2 3 4 1 2 -2 3 -1 4 3 2 0 1 2 0 -2 2 1 2 3 -1 4 2 1 3 -1 2 -1 3 3 -1 1 2 0 4 4 -1 -2 -2 3 -1 0 1 -1 5 1 5 5 -1 -2 -2 2 3 3 5 0 3 3 -1 2 -1 1 4 1 3 1 2 1 -2 2 5 1 3 3 4 0 1 5 -2 1 2 3 1 -2 3 0 4 3 -2 1 4 2 4 1 3 2 -2 0 -2 -2 3 2 -2 -1 2 -1 1 1 -1 1 5 5 0 -1 2 -1 -1 2 5 3 2 4 3 2 5 3 -1 5 0 2 0 0 -2 -2 2 -1 1 4 5 -2 3 3 4 2 4 1 4 3 5 3 3 1 5 -1 3 2 -1 5 -2 5 1 0 3 0 5 -1 4 -1 0 3 1 0 0 -2 1 -1 -2 1 2 4 1 4 -2 4 -2 2 4 -2 -1 3 3 2 2 3 0 -1 3 -1 3 -1 -1 -1 5 0 1 2 3 1 0 4 3 5 2 -1 3 2 1 1 0 -2 3 0 5 3 -2 0 5 3 5 -1 0 0 3 -1 2 -2 4 -2 5 -1 -1 2 4 -2 3 3 1 1 3 2 1 4 2 0 -1 5 2 -1 3 2 4 -1 1 0 3 0 -1 0 0 5 4 0 0 5 1 3 3 2 2 3 2 -1 -1 2 3 1 -2 3 2 3 -1 1 1 3 2 1 3 5 2 2 2 0 -1 3 2 2 0 2 1 3 0 4 5 0 2 2 -1 5 1 3 4 2 0 -1 0 1 5 4 0 3 4 1 3 1 5 0 3 3 1 0 2 4 0 -1 1 4 2 3 -1 0 -1 -1 0 1 3 0 4 2 2 1 3 4 3 2 3 2 0 3 0 2 1 -1 4 1 2 3 -1 0 2 -2 -2 -1 4 0 -2 1 5 1 2 2 5 2 1 3 2 -1 2 -1 4 4 1 -2 3 2 2 -2 0 1 3 -1 5 1 4 -1 -1 0 1 4 0 2 -1 5 -1 2 -2 1 -2 0 1 -1 -1 2 -2 3 -2 3 -1 3 1 -1 4 5 2 0 0 2 5 5 0 3 3 5 0 -1 0 -2 2 -2 0 -1 3 0 5 4 1 -1 2 0 0 4 4 0 3 5 5 5 4 4 1 4 3 3 -1 4 3 0 -2 3 -1 3 5 3 0 -1 0 0 2 0 5 0 0 -1 2 3 1 5 5 1 4 -2 0 -1 -2 2 5 -2 3 -1 3 -1 1 0 1 2 -2 -1 4 2 4 1 1 1 4 2 1 -1 3 0 -1 0 -2 4 1 3 1 -2 -1 -1 2 4 3 4 -1 2 4 4 4 3 4 -1 -1 -1 -2 -2 4 1 -2 2 3 4 -2 -2 -1 2 4 1 0 4 0 0 4 -1 3 4 2 1 -1 1 4 4 3 2 -2 5 3 3 3 4 1 0 0 5 -1 -1 4 -1 4 2 0 1 3 2 2 -1 -1 2 -2 4 -2 0 -1 0 2 2 1 3 4 2 3 5 2 2 5 4 2 -1 2 -1 -1 0 2 3 -1 -1 3 -2 2 1 0 4 3 -1 3 3 -1 0 0 5 4 1 5 0 2 0 2 2 2 3 0 5 2 0 4 0 1 3 4 1 2 2 1 1 0 2 3 2 -1 3 2 -2 -2 4 5 -1 -1 -1 3 4 2 -2 0 -1 2 4 4 0 2 0 -1 5 -2 0 4 -1 0 2 1 Columns 17 through 30 1 0 3 1 2 4 0 1 0 4 2 4 4 1 5 2 4 1 3 1 -2 0 0 4 -1 3 3 3 1 3 1 3 5 1 3 5 -2 3 3 3 -1 -1 0 1 2 4 3 4 -1 5 2 -1 3 4 4 5 4 2 0 3 -1 4 -2 -2 0 0 4 0 4 -1 -1 3 5 2 1 3 2 3 4 -1 4 5 5 3 -1 -1 2 -1 0 4 -1 -2 3 0 -1 0 2 4 -2 5 3 -1 -2 3 4 3 0 5 0 -2 2 0 4 4 4 3 3 3 3 5 3 2 2 3 3 4 3 4 5 3 5 1 -2 -1 4 0 4 4 -2 -2 2 1 3 -1 4 -1 5 3 4 1 3 3 2 -1 0 1 1 3 0 5 0 3 -2 2 -1 3 1 3 5 -1 3 0 -1 1 3 3 4 2 3 1 2 1 3 0 1 -2 0 2 5 1 2 0 5 3 -1 2 0 2 1 -1 1 1 -1 1 0 0 1 4 -1 2 0 -1 2 3 4 2 0 1 -1 2 4 2 1 2 -1 -2 3 0 -1 5 -1 4 -1 1 2 -2 5 3 3 1 4 2 4 0 4 1 1 -2 0 4 3 5 3 2 0 1 0 2 5 0 5 5 0 2 4 1 1 5 4 1 2 1 1 2 -1 3 2 0 1 1 3 1 4 1 4 -1 5 2 2 4 -1 3 4 0 3 2 3 0 3 2 -1 -2 0 4 1 1 2 5 2 1 4 4 -1 2 1 3 3 4 -2 -1 5 1 -1 2 2 4 -2 0 -1 1 4 0 4 3 5 -1 -1 4 -1 1 3 4 -1 3 -1 2 2 -1 1 0 3 0 -2 0 -2 2 3 5 -1 3 5 3 -2 2 5 2 0 3 -1 1 3 1 4 3 2 -1 5 5 3 5 -1 -1 5 0 -1 3 2 4 0 -2 3 0 5 -1 -2 4 2 1 0 -1 2 3 3 1 -1 3 3 0 -1 1 -2 4 5 3 0 -1 5 3 3 4 0 -1 3 3 4 0 2 0 4 1 3 0 1 2 4 4 1 3 3 4 0 4 3 3 3 -2 2 0 5 3 0 5 -1 0 2 4 2 0 3 -2 0 2 4 3 3 -1 5 -1 2 4 1 0 -2 -1 5 2 2 4 3 4 -1 4 3 5 5 0 4 0 2 3 -1 -2 2 4 0 3 2 4 3 2 1 -2 3 2 3 1 1 1 3 1 4 4 0 2 -1 1 0 1 2 0 0 -1 -1 4 0 5 4 0 3 4 -1 2 1 2 -2 2 2 4 2 2 3 2 4 0 -2 4 2 3 1 4 3 3 3 -1 2 3 1 4 0 3 3 3 2 4 1 2 4 3 -2 -1 1 2 -1 1 1 1 3 0 4 2 4 0 3 4 5 4 0 5 4 -1 2 1 5 1 -1 -1 2 2 4 2 2 4 1 3 5 0 1 -2 -1 5 5 0 2 -2 -2 0 2 1 0 3 2 -2 -1 3 4 0 -1 4 1 -2 2 -2 -1 5 1 -1 0 2 3 2 5 0 5 3 1 5 -1 0 1 1 0 1 3 0 0 2 1 0 0 2 -1 4 2 0 -2 4 -1 -1 -1 -1 0 0 4 0 2 -1 4 5 3 4 2 4 2 -2 3 3 -1 4 4 -1 4 -1 -2 2 2 0 2 2 1 1 >> [i,k]=size(m) i = 50 k = 30 >> k=1:1:49 k = Columns 1 through 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Columns 17 through 32 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 Columns 33 through 48 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 Column 49 49 >> n=m([4:7:i],:) n = Columns 1 through 16 1 -1 4 5 5 -1 3 -2 -1 3 1 0 1 5 2 5 5 -2 1 2 3 1 -2 3 0 4 3 -2 1 4 2 4 3 3 2 2 3 0 -1 3 -1 3 -1 -1 -1 5 0 1 0 -1 3 2 2 0 2 1 3 0 4 5 0 2 2 -1 -1 -1 0 1 4 0 2 -1 5 -1 2 -2 1 -2 0 1 -1 4 2 4 1 1 1 4 2 1 -1 3 0 -1 0 -2 -1 -1 0 2 3 -1 -1 3 -2 2 1 0 4 3 -1 3 Columns 17 through 30 0 1 2 4 3 4 -1 5 2 -1 3 4 4 5 2 1 3 -1 4 -1 5 3 4 1 3 3 2 -1 3 1 4 2 4 0 4 1 1 -2 0 4 3 5 -1 4 -1 1 3 4 -1 3 -1 2 2 -1 1 0 4 4 1 3 3 4 0 4 3 3 3 -2 2 0 1 2 -2 2 2 4 2 2 3 2 4 0 -2 4 2 -2 -1 5 1 -1 0 2 3 2 5 0 5 3 >> variancie=var(n) variancie = Columns 1 through 9 5.4762 5.4762 2.2381 1.9524 1.6667 0.6667 3.6190 5.2857 6.4762 Columns 10 through 18 3.2381 3.5714 6.9524 2.4762 7.9048 1.5714 6.6190 2.9524 4.2857 Columns 19 through 27 5.1429 3.9048 1.1429 6.3333 5.9048 1.8095 2.8095 3.3333 2.4762 Columns 28 through 30 6.1429 5.1429 6.5714 >> nn=n' nn = 1 5 3 0 -1 -1 -1 -1 -2 3 -1 -1 4 -1 4 1 2 3 0 2 0 5 2 2 2 1 4 2 5 3 3 2 4 1 3 -1 1 0 0 0 1 -1 3 -2 -1 2 2 1 -1 -2 3 3 1 -1 4 3 -1 0 -1 3 5 2 -2 3 4 3 0 -1 1 2 1 3 -1 4 2 -1 1 0 -2 -1 5 -2 3 0 1 1 -1 0 1 0 4 5 4 5 2 -2 -1 3 2 2 0 2 0 0 -1 5 4 1 -1 1 -2 3 0 2 3 -1 4 1 2 1 1 1 4 4 2 -2 2 3 4 -1 1 -2 -1 4 -1 2 1 3 2 5 3 4 4 3 3 2 1 4 -1 0 4 4 4 -1 -1 5 4 -1 0 2 0 5 3 1 3 4 2 2 2 4 1 -1 3 3 3 -1 1 -2 2 3 2 2 3 3 0 2 3 4 5 4 3 4 -1 -2 0 0 4 2 3 1 2 -2 5 5 -1 5 0 0 4 3 >> variancie=var(nn) variancie = 5.1782 4.4195 4.0920 3.3207 4.4368 3.6966 4.6161 >> varr=var(variancie') varr = 0.3757 >> varr=var(variancie) varr = 0.3757 >> variancie variancie = 5.1782 4.4195 4.0920 3.3207 4.4368 3.6966 4.6161 >> vv=variancie' vv = 5.1782 4.4195 4.0920 3.3207 4.4368 3.6966 4.6161 >> varr=var(vv) varr = 0.3757 >> v=[1,2,7,3,90,1,2] v = 1 2 7 3 90 1 2 >> max(v) ans = 90 >> m=[1,4,7;3,6,0;2,5,6] m = 1 4 7 3 6 0 2 5 6 >> max(m) ans = 3 6 7 >> a=[1,2;2,2] a = 1 2 2 2 >> b=[3,8;10,12] b = 3 8 10 12 >> minus(a,b) ans = -2 -6 -8 -10 >> plus(a,b) ans = 4 10 12 14 >> times(a,b) ans = 3 16 20 24 >> uminus(a,b) ??? Error using ==> uminus Too many input arguments. >> uminus(a) ans = -1 -2 -2 -2 >> mtimes(a,b) ans = 23 32 26 40 >> v=[1,2,3] v = 1 2 3 >> p=[2,3,2] p = 2 3 2 >> for i=1:3, vv=p(i)*x(i) end vv = 24 vv = 30 vv = 44 >> vv=sum(p.*x) ??? Error using ==> times Matrix dimensions must agree. >> vv=sum(p.*x) ??? Error using ==> times Matrix dimensions must agree. >> vv=[] vv = [] >> vv=sum(p.*x) ??? Error using ==> times Matrix dimensions must agree. >> vv=sum(p*x) ??? Error using ==> mtimes Inner matrix dimensions must agree. >> vv=(p.*x) ??? Error using ==> times Matrix dimensions must agree. >> vv=(p.*x) ??? Error using ==> times Matrix dimensions must agree. >> >> >> v=[1,4,1,2,3,4,1,3] v = 1 4 1 2 3 4 1 3 >> v=1:4 v = 1 2 3 4 >> p=[2,3,5,2] p = 2 3 5 2 >> w=[] w = [] >> n=lenght(v) ??? Undefined command/function 'lenght'. >> n=length(v) n = 4 >> for i=1:n, for j=1:p(i), w=[w,x(i)]; end end >> w w = 12 12 10 10 10 22 22 22 22 22 17 17 >> w=[]; >> for i=1:n, for j=1:p(i), w=[w,x(i)]; end end >> w w = 12 12 10 10 10 22 22 22 22 22 17 17 >> w=[] w = [] >> for i=1:n, for j=1:p(i), w=[w,v(i)]; end end >> w w = 1 1 2 2 2 3 3 3 3 3 4 4 >> sum(w) ans = 31 >> variacie=sum(w)/length(w) variacie = 2.5833 >> var(w) ans = 0.9924 >> war(w') ??? Undefined command/function 'war'. >> var(w') ans = 0.9924 >> var(var(w)) ans = 0 >> w w = 1 1 2 2 2 3 3 3 3 3 4 4 >> mee=mean(w) mee = 2.5833 >> sum(p) ans = 12 >> length(w) ans = 12 >> A=2*(1-mee) A = -3.1667 >> B=3*(2-mee) B = -1.7500 >> A=2*(1-mee)^2 A = 5.0139 >> B=3*(2-mee)^2 B = 1.0208 >> C=5*(3-mee)^2 C = 0.8681 >> D=2*(4-mee)^2 D = 4.0139 >> s=A+B+C+D s = 10.9167 >> variacia=s/12 variacia = 0.9097 >> C=5*(3-mee)^2 C = 0.8681 >> C=5*((3-mee)^2) C = 0.8681 >> sum(w) ans = 31 >> 31/12 ans = 2.5833 >> x=[1,2,3,3,5] x = 1 2 3 3 5 >> h=[2,3,4] h = 2 3 4 >> hi=histc(x,h) hi = 1 2 0 >> x=[1,4,3;1,1,1;5,0,1] x = 1 4 3 1 1 1 5 0 1 >> me=mean(x) me = 2.3333 1.6667 1.6667 >> mee=me' mee = 2.3333 1.6667 1.6667 >> meee=mean(mee) meee = 1.8889 >> 17/9 ans = 1.8889 >> va=var(x) va = 5.3333 4.3333 1.3333 >> vaa=va' vaa = 5.3333 4.3333 1.3333 >> vaaa=var(vaa) vaaa = 4.3333 >> var(var(x')) ans = 12.7037 >> mean(mean(x)) ans = 1.8889 >> vaaa=var(va') vaaa = 4.3333 >> mean(mean(x)) ans = 1.8889 >> mean(x) ans = 2.3333 1.6667 1.6667 >> a=mean(x) a = 2.3333 1.6667 1.6667 >> mean(a) ans = 1.8889 >> v=round(rand(1,50)*8-3) v = Columns 1 through 16 3 2 3 -2 0 0 0 2 -2 3 3 1 -3 -1 -2 -2 Columns 17 through 32 0 -3 3 -1 1 4 1 -2 2 2 2 0 4 -2 2 3 Columns 33 through 48 -1 -2 1 -3 -1 3 1 0 4 -3 4 0 -2 -1 -2 0 Columns 49 through 50 1 3 >> v' ans = 3 2 3 -2 0 0 0 2 -2 3 3 1 -3 -1 -2 -2 0 -3 3 -1 1 4 1 -2 2 2 2 0 4 -2 2 3 -1 -2 1 -3 -1 3 1 0 4 -3 4 0 -2 -1 -2 0 1 3 >> var(v) ans = 4.7433 >> var(v') ans = 4.7433 >> m=[-2,-3,4;1,4,0;0,9,2] m = -2 -3 4 1 4 0 0 9 2 >> v=var(m) v = 2.3333 36.3333 4.0000 >> vv=v' vv = 2.3333 36.3333 4.0000 >> var(v) ans = 367.3704 >> var(vv) ans = 367.3704 >> var(vv,1) ans = 244.9136 >> v v = 2.3333 36.3333 4.0000 >> var(v,1) ans = 244.9136 >> var(v) ans = 367.3704 >> cleat ??? Undefined function or variable 'cleat'. >> clear >> x=[2,4,7,10] x = 2 4 7 10 >> n=length(x) n = 4 >> for i=1:n, y(i)=(i/n); end >> >> >> clear >> x=[2,4,7,10] x = 2 4 7 10 >> p=[3,7,6,4] p = 3 7 6 4 >> n=sum(p) n = 20 >> a=x(1)-((x(2)-x(1))/2) a = 1 >> nn=length(x) nn = 4 >> b=x(nn)-((x(2)-x(1))/2) b = 9 >> b=x(nn)-((x(nn)-x(nn-1))/2) b = 8.5000 >> b=x(nn)+((x(nn)-x(nn-1))/2) b = 11.5000 >> clear >> h=(1:4) h = 1 2 3 4 >> v=[1,1,2,3,3,3,4,4] v = 1 1 2 3 3 3 4 4 >> p=histc(v,h) p = 2 1 3 2 >> bar(h,p,'hist') >> h=(1:1000) h = Columns 1 through 8 1 2 3 4 5 6 7 8 Columns 9 through 16 9 10 11 12 13 14 15 16 Columns 17 through 24 17 18 19 20 21 22 23 24 Columns 25 through 32 25 26 27 28 29 30 31 32 Columns 33 through 40 33 34 35 36 37 38 39 40 Columns 41 through 48 41 42 43 44 45 46 47 48 Columns 49 through 56 49 50 51 52 53 54 55 56 Columns 57 through 64 57 58 59 60 61 62 63 64 Columns 65 through 72 65 66 67 68 69 70 71 72 Columns 73 through 80 73 74 75 76 77 78 79 80 Columns 81 through 88 81 82 83 84 85 86 87 88 Columns 89 through 96 89 90 91 92 93 94 95 96 Columns 97 through 104 97 98 99 100 101 102 103 104 Columns 105 through 112 105 106 107 108 109 110 111 112 Columns 113 through 120 113 114 115 116 117 118 119 120 Columns 121 through 128 121 122 123 124 125 126 127 128 Columns 129 through 136 129 130 131 132 133 134 135 136 Columns 137 through 144 137 138 139 140 141 142 143 144 Columns 145 through 152 145 146 147 148 149 150 151 152 Columns 153 through 160 153 154 155 156 157 158 159 160 Columns 161 through 168 161 162 163 164 165 166 167 168 Columns 169 through 176 169 170 171 172 173 174 175 176 Columns 177 through 184 177 178 179 180 181 182 183 184 Columns 185 through 192 185 186 187 188 189 190 191 192 Columns 193 through 200 193 194 195 196 197 198 199 200 Columns 201 through 208 201 202 203 204 205 206 207 208 Columns 209 through 216 209 210 211 212 213 214 215 216 Columns 217 through 224 217 218 219 220 221 222 223 224 Columns 225 through 232 225 226 227 228 229 230 231 232 Columns 233 through 240 233 234 235 236 237 238 239 240 Columns 241 through 248 241 242 243 244 245 246 247 248 Columns 249 through 256 249 250 251 252 253 254 255 256 Columns 257 through 264 257 258 259 260 261 262 263 264 Columns 265 through 272 265 266 267 268 269 270 271 272 Columns 273 through 280 273 274 275 276 277 278 279 280 Columns 281 through 288 281 282 283 284 285 286 287 288 Columns 289 through 296 289 290 291 292 293 294 295 296 Columns 297 through 304 297 298 299 300 301 302 303 304 Columns 305 through 312 305 306 307 308 309 310 311 312 Columns 313 through 320 313 314 315 316 317 318 319 320 Columns 321 through 328 321 322 323 324 325 326 327 328 Columns 329 through 336 329 330 331 332 333 334 335 336 Columns 337 through 344 337 338 339 340 341 342 343 344 Columns 345 through 352 345 346 347 348 349 350 351 352 Columns 353 through 360 353 354 355 356 357 358 359 360 Columns 361 through 368 361 362 363 364 365 366 367 368 Columns 369 through 376 369 370 371 372 373 374 375 376 Columns 377 through 384 377 378 379 380 381 382 383 384 Columns 385 through 392 385 386 387 388 389 390 391 392 Columns 393 through 400 393 394 395 396 397 398 399 400 Columns 401 through 408 401 402 403 404 405 406 407 408 Columns 409 through 416 409 410 411 412 413 414 415 416 Columns 417 through 424 417 418 419 420 421 422 423 424 Columns 425 through 432 425 426 427 428 429 430 431 432 Columns 433 through 440 433 434 435 436 437 438 439 440 Columns 441 through 448 441 442 443 444 445 446 447 448 Columns 449 through 456 449 450 451 452 453 454 455 456 Columns 457 through 464 457 458 459 460 461 462 463 464 Columns 465 through 472 465 466 467 468 469 470 471 472 Columns 473 through 480 473 474 475 476 477 478 479 480 Columns 481 through 488 481 482 483 484 485 486 487 488 Columns 489 through 496 489 490 491 492 493 494 495 496 Columns 497 through 504 497 498 499 500 501 502 503 504 Columns 505 through 512 505 506 507 508 509 510 511 512 Columns 513 through 520 513 514 515 516 517 518 519 520 Columns 521 through 528 521 522 523 524 525 526 527 528 Columns 529 through 536 529 530 531 532 533 534 535 536 Columns 537 through 544 537 538 539 540 541 542 543 544 Columns 545 through 552 545 546 547 548 549 550 551 552 Columns 553 through 560 553 554 555 556 557 558 559 560 Columns 561 through 568 561 562 563 564 565 566 567 568 Columns 569 through 576 569 570 571 572 573 574 575 576 Columns 577 through 584 577 578 579 580 581 582 583 584 Columns 585 through 592 585 586 587 588 589 590 591 592 Columns 593 through 600 593 594 595 596 597 598 599 600 Columns 601 through 608 601 602 603 604 605 606 607 608 Columns 609 through 616 609 610 611 612 613 614 615 616 Columns 617 through 624 617 618 619 620 621 622 623 624 Columns 625 through 632 625 626 627 628 629 630 631 632 Columns 633 through 640 633 634 635 636 637 638 639 640 Columns 641 through 648 641 642 643 644 645 646 647 648 Columns 649 through 656 649 650 651 652 653 654 655 656 Columns 657 through 664 657 658 659 660 661 662 663 664 Columns 665 through 672 665 666 667 668 669 670 671 672 Columns 673 through 680 673 674 675 676 677 678 679 680 Columns 681 through 688 681 682 683 684 685 686 687 688 Columns 689 through 696 689 690 691 692 693 694 695 696 Columns 697 through 704 697 698 699 700 701 702 703 704 Columns 705 through 712 705 706 707 708 709 710 711 712 Columns 713 through 720 713 714 715 716 717 718 719 720 Columns 721 through 728 721 722 723 724 725 726 727 728 Columns 729 through 736 729 730 731 732 733 734 735 736 Columns 737 through 744 737 738 739 740 741 742 743 744 Columns 745 through 752 745 746 747 748 749 750 751 752 Columns 753 through 760 753 754 755 756 757 758 759 760 Columns 761 through 768 761 762 763 764 765 766 767 768 Columns 769 through 776 769 770 771 772 773 774 775 776 Columns 777 through 784 777 778 779 780 781 782 783 784 Columns 785 through 792 785 786 787 788 789 790 791 792 Columns 793 through 800 793 794 795 796 797 798 799 800 Columns 801 through 808 801 802 803 804 805 806 807 808 Columns 809 through 816 809 810 811 812 813 814 815 816 Columns 817 through 824 817 818 819 820 821 822 823 824 Columns 825 through 832 825 826 827 828 829 830 831 832 Columns 833 through 840 833 834 835 836 837 838 839 840 Columns 841 through 848 841 842 843 844 845 846 847 848 Columns 849 through 856 849 850 851 852 853 854 855 856 Columns 857 through 864 857 858 859 860 861 862 863 864 Columns 865 through 872 865 866 867 868 869 870 871 872 Columns 873 through 880 873 874 875 876 877 878 879 880 Columns 881 through 888 881 882 883 884 885 886 887 888 Columns 889 through 896 889 890 891 892 893 894 895 896 Columns 897 through 904 897 898 899 900 901 902 903 904 Columns 905 through 912 905 906 907 908 909 910 911 912 Columns 913 through 920 913 914 915 916 917 918 919 920 Columns 921 through 928 921 922 923 924 925 926 927 928 Columns 929 through 936 929 930 931 932 933 934 935 936 Columns 937 through 944 937 938 939 940 941 942 943 944 Columns 945 through 952 945 946 947 948 949 950 951 952 Columns 953 through 960 953 954 955 956 957 958 959 960 Columns 961 through 968 961 962 963 964 965 966 967 968 Columns 969 through 976 969 970 971 972 973 974 975 976 Columns 977 through 984 977 978 979 980 981 982 983 984 Columns 985 through 992 985 986 987 988 989 990 991 992 Columns 993 through 1000 993 994 995 996 997 998 999 1000 >> v=[1,1,2,3,3,3,4,4] v = 1 1 2 3 3 3 4 4 >> p=histc(v,h) p = Columns 1 through 16 2 1 3 2 0 0 0 0 0 0 0 0 0 0 0 0 Columns 17 through 32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 33 through 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 49 through 64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 65 through 80 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 81 through 96 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 97 through 112 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 113 through 128 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 129 through 144 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 145 through 160 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 161 through 176 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 177 through 192 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 193 through 208 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 209 through 224 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 225 through 240 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 241 through 256 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 257 through 272 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 273 through 288 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 289 through 304 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 305 through 320 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 321 through 336 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 337 through 352 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 353 through 368 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 369 through 384 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 385 through 400 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 401 through 416 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 417 through 432 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 433 through 448 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 449 through 464 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 465 through 480 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 481 through 496 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 497 through 512 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 513 through 528 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 529 through 544 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 545 through 560 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 561 through 576 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 577 through 592 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 593 through 608 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 609 through 624 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 625 through 640 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 641 through 656 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 657 through 672 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 673 through 688 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 689 through 704 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 705 through 720 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 721 through 736 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 737 through 752 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 753 through 768 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 769 through 784 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 785 through 800 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 801 through 816 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 817 through 832 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 833 through 848 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 849 through 864 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 865 through 880 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 881 through 896 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 897 through 912 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 913 through 928 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 929 through 944 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 945 through 960 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 961 through 976 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 977 through 992 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 993 through 1000 0 0 0 0 0 0 0 0 >> bar(h,p,'hist') >> clear >> v=[1,1,2,3,3,3,4,4] v = 1 1 2 3 3 3 4 4 >> h=1:(max(v)) h = 1 2 3 4 >> p=histc(v,h) p = 2 1 3 2 >> bar(h,p,'hist') >> v=[1,2,7,4,3,0] v = 1 2 7 4 3 0 >> h=1:max(v) h = 1 2 3 4 5 6 7 >> sort(v) ans = 0 1 2 3 4 7 >> m=[1,5,3;7,2,0;1,6,3] m = 1 5 3 7 2 0 1 6 3 >> sort(m) ans = 1 2 0 1 5 3 7 6 3 >> bar(h,p,'hist') ??? Index exceeds matrix dimensions. Error in ==> makebars at 97 if min(size(y))==1, y = y(ndx); else y = y(ndx,:); end Error in ==> bar>Lbarv6 at 104 [msg,x,y,xx,yy,linetype,plottype,barwidth,equal] = makebars(args{:}); Error in ==> bar at 45 h = Lbarv6(args{:}); >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 0 3 -3 -2 -2 0 3 1 -3 0 1 -2 0 -1 0 2 Columns 17 through 25 1 2 1 -2 3 -2 -2 -3 3 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 4 2 2 0 3 1 4 -1 -1 2 5 5 1 3 0 -4 Columns 17 through 25 -2 3 -3 3 0 0 4 0 5 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 2 0 5 4 0 1 2 2 0 2 -2 -3 2 3 3 -4 Columns 17 through 25 5 5 0 -4 0 -3 4 1 4 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 0 5 0 3 -1 1 2 1 -2 1 -2 -3 -2 2 1 1 Columns 17 through 25 3 3 5 5 3 2 3 3 1 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 -3 -3 -3 4 -1 -1 1 -3 2 -3 1 2 2 -4 4 4 Columns 17 through 25 0 1 4 0 -2 0 4 1 -3 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 -3 0 4 -1 0 -3 -2 2 2 0 4 4 -2 1 4 -1 Columns 17 through 25 -1 -2 5 -2 -4 -4 2 0 1 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 1 4 -2 -3 0 -1 2 1 1 -4 4 -2 3 3 4 2 Columns 17 through 25 0 -3 -2 1 -4 1 5 -3 2 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 2 -3 4 1 1 -3 -1 1 -2 2 0 4 4 4 -3 2 Columns 17 through 25 3 5 3 4 4 5 0 5 -1 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 3 -1 -2 5 3 0 2 2 3 3 5 3 -2 5 -2 1 Columns 17 through 25 -2 2 1 -3 5 -3 4 4 2 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 2 1 0 -4 -1 3 0 -1 4 -3 0 -2 -4 -4 2 0 Columns 17 through 25 -2 2 4 5 2 2 3 3 -2 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 -2 -4 5 -1 1 1 -2 1 0 -2 -1 -3 3 1 3 0 Columns 17 through 25 4 3 -1 -3 4 5 4 -3 -2 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 5 0 -3 4 1 1 0 2 -3 3 3 5 1 0 -3 2 Columns 17 through 25 0 3 4 -2 2 5 -3 0 2 >> x=sort(x) x = Columns 1 through 16 -3 -3 -3 -3 -2 0 0 0 0 0 1 1 1 2 2 2 Columns 17 through 25 2 3 3 3 4 4 5 5 5 >> h=min(x):max(x) h = -3 -2 -1 0 1 2 3 4 5 >> p=histc(x,h) p = 4 1 0 5 3 4 3 2 3 >> pp=cumsum(p) pp = 4 5 5 10 13 17 20 22 25 >> pp=[0,pp,n] ??? Undefined function or variable 'n'. >> n=length(x) n = 25 >> clear >> x=round(rand(1,10)*9-4) x = -2 -4 2 2 4 -2 -2 3 -3 -1 >> x=sort(x) x = -4 -3 -2 -2 -2 -1 2 2 3 4 >> n=length(x) n = 10 >> f=find(x(1:end-1)> g=[0,f,n] g = 0 1 2 5 6 8 9 10 >> x=[x(f),x(n)] x = -4 -3 -2 -1 2 3 4 >> p=g(g(2:length(g))-g(1:length(g)-1)) p = 0 0 2 0 1 0 0 >> p=g(2:length(g)-g(1:length(g)-1)) p = 1 2 5 6 8 9 10 >> x x = -4 -3 -2 -1 2 3 4 >> p p = 1 2 5 6 8 9 10 >> tab[x,p]' ??? tab[x,p]' | Error: Unbalanced or misused parentheses or brackets. >> tab[x;p]' ??? tab[x;p]' | Error: Unbalanced or misused parentheses or brackets. >> tab=[x;p]' tab = -4 1 -3 2 -2 5 -1 6 2 8 3 9 4 10 >> x=round(rand(1,10)*9-4) x = -2 -2 2 -3 -1 1 -1 0 1 -2 >> x=sort(x) x = -3 -2 -2 -2 -1 -1 0 1 1 2 >> n=length(x) n = 10 >> f=find(x(1:end-1)> g=[0,f,n] g = 0 1 4 6 7 9 10 >> x=[x(f),x(n)] x = -3 -2 -1 0 1 2 >> p=g(2:length(g)-g(1:length(g)-1)) p = 1 4 6 7 9 10 >> tab=[x,p]' tab = -3 -2 -1 0 1 2 1 4 6 7 9 10 >> tab=[x;p]' tab = -3 1 -2 4 -1 6 0 7 1 9 2 10 >> x=round(rand(1,25)*9-4) x = Columns 1 through 16 -1 -2 -2 4 5 2 -1 0 0 4 -4 1 -3 -4 2 1 Columns 17 through 25 -3 -1 -3 3 -2 -1 0 0 3 >> xx=sort(x) xx = Columns 1 through 16 -4 -4 -3 -3 -3 -2 -2 -2 -1 -1 -1 -1 0 0 0 0 Columns 17 through 25 1 1 2 2 3 3 4 4 5 >> n=length(x) n = 25 >> f=finf(xx(1:end-1)> f=finf((xx(1:end-1)> f=find((xx(1:end-1)> f=find(xx(1:end-1)> f=find((xx(1:(end-1))> f=find(xx(1:end-1)> g=[0,f,n] g = 0 2 5 8 12 16 18 20 22 24 25 >> p=g(2:length(g))-g(1:length(g)-1) p = 2 3 3 4 4 2 2 2 2 1 >> v=[xx(f),xx(n)] v = -4 -3 -2 -1 0 1 2 3 4 5 >> tab=[v;p]' tab = -4 2 -3 3 -2 3 -1 4 0 4 1 2 2 2 3 2 4 2 5 1 >> x=[1,1.23,1.5] x = 1.0000 1.2300 1.5000 >> var(x) ans = 0.0626 >> var(x,1) ans = 0.0418 >> (1-mean(x))^2+(1.23-mean(x))^2+(1.5-mean(x))^2 ans = 0.1253 >> 0,1253/3 ans = 0 ans = 417.6667 >> x=0,1253 x = 0 ans = 1253 >> 0.1253/3 ans = 0.0418 >> a=[0,1,0,3,2] a = 0 1 0 3 2 >> a=sort(a) a = 0 0 1 2 3 >> f=a(find(a)) f = 1 2 3 >> f=a*(find(a)) ??? Error using ==> mtimes Inner matrix dimensions must agree. >> f=a*(find(a)) ??? Error using ==> mtimes Inner matrix dimensions must agree. >> f=a(find(a)) f = 1 2 3 >> x=round(rand(1,2500)*9-4) x = Columns 1 through 16 -3 0 -2 4 5 -1 -2 -1 3 -3 -4 0 -3 1 -4 5 Columns 17 through 32 0 2 -3 1 3 0 2 3 3 -1 -2 5 5 5 0 2 Columns 33 through 48 -1 -2 0 -4 0 -1 3 1 -3 2 -2 3 -1 -3 3 0 Columns 49 through 64 2 2 2 -3 1 2 4 4 3 3 4 5 4 -3 1 1 Columns 65 through 80 -2 2 4 -1 -4 0 -2 -1 4 1 2 2 4 1 3 5 Columns 81 through 96 3 3 5 3 2 5 1 4 2 4 -2 3 2 3 -3 2 Columns 97 through 112 0 1 -1 -1 -4 -4 3 -4 0 2 0 -3 1 -3 4 1 Columns 113 through 128 -2 -1 5 3 4 4 3 -3 2 2 1 -1 3 3 -3 3 Columns 129 through 144 1 -3 4 2 1 1 1 3 5 0 1 -1 0 3 -2 -3 Columns 145 through 160 -2 4 4 4 3 2 -1 2 -2 1 4 0 1 -1 1 -3 Columns 161 through 176 1 2 2 -2 3 2 -1 -3 -1 -2 2 1 -4 -3 1 3 Columns 177 through 192 0 5 4 3 3 2 0 -4 4 -3 0 5 5 -2 -1 4 Columns 193 through 208 4 -3 0 2 4 0 0 2 -1 1 2 -1 -3 5 1 4 Columns 209 through 224 -3 1 0 4 -2 -2 0 3 1 -3 2 -2 2 2 4 -1 Columns 225 through 240 5 1 2 -1 -1 -2 0 -4 -2 2 5 -2 4 -1 3 -3 Columns 241 through 256 -3 1 2 -3 0 -3 1 -1 -2 1 4 -2 0 -3 -1 4 Columns 257 through 272 -3 5 1 1 -1 2 1 0 -2 -3 -3 5 -2 -3 0 5 Columns 273 through 288 -2 -2 -3 -3 5 0 1 -2 -3 1 1 2 -1 3 0 4 Columns 289 through 304 3 5 2 -4 3 1 -3 0 -2 -3 2 3 2 1 -2 -2 Columns 305 through 320 2 5 5 -2 3 -1 -3 -2 -2 0 4 4 4 -2 1 -3 Columns 321 through 336 4 -2 2 1 -3 1 1 2 4 4 -1 3 -3 -2 4 -3 Columns 337 through 352 1 2 4 3 1 3 4 -4 -3 2 -1 0 3 4 1 3 Columns 353 through 368 2 2 5 -3 -1 -2 5 -3 -2 0 3 4 -1 -2 -4 2 Columns 369 through 384 0 0 1 2 4 1 0 -2 -2 0 0 4 0 1 1 3 Columns 385 through 400 0 -1 0 -2 -2 1 0 0 -2 4 5 -4 -3 1 0 3 Columns 401 through 416 -2 -2 -2 5 2 -2 -1 4 4 -2 3 -4 2 4 -4 3 Columns 417 through 432 -2 3 3 -1 1 -2 4 1 -2 -2 -2 0 -2 -1 -3 -2 Columns 433 through 448 4 5 0 0 -4 0 -1 1 -1 -1 -1 -4 -3 2 4 0 Columns 449 through 464 1 2 -2 -1 -3 4 3 1 3 4 -1 3 3 -1 -4 -2 Columns 465 through 480 5 4 0 -1 -2 0 0 0 4 -1 1 4 -4 -4 -2 -2 Columns 481 through 496 -2 -1 5 4 -3 3 1 2 4 -4 4 2 3 1 -2 -2 Columns 497 through 512 1 3 -2 1 -1 0 -1 5 1 1 5 -2 -2 3 4 1 Columns 513 through 528 0 5 3 2 3 4 -3 5 -1 4 -2 3 3 -3 -4 2 Columns 529 through 544 -2 2 -1 2 1 4 -4 -1 4 0 3 -2 4 3 5 -2 Columns 545 through 560 4 2 0 2 -4 -3 3 -1 1 4 2 -3 -2 -1 4 -3 Columns 561 through 576 -4 -3 0 3 -2 -2 1 -1 -2 4 -1 -1 -3 1 3 1 Columns 577 through 592 -3 4 0 3 4 2 -1 -3 2 -3 0 1 3 -3 4 4 Columns 593 through 608 -3 -1 3 1 2 2 2 -1 0 2 -2 1 2 1 3 -1 Columns 609 through 624 3 -2 2 3 -2 0 3 4 2 -3 -3 -3 3 2 2 1 Columns 625 through 640 -1 -2 -1 2 4 -3 0 -1 4 3 3 -3 3 1 4 0 Columns 641 through 656 1 0 5 4 0 3 0 1 -1 2 2 4 -1 -3 -4 5 Columns 657 through 672 -1 0 -3 5 4 0 3 3 1 4 4 -3 4 2 -2 2 Columns 673 through 688 3 1 -4 1 5 1 4 4 2 5 3 -1 0 4 -3 -4 Columns 689 through 704 -1 -1 -3 -1 -2 -3 -1 0 3 -1 3 -2 4 -2 5 2 Columns 705 through 720 0 -2 4 3 1 1 -2 3 2 -3 3 -3 -2 -3 0 0 Columns 721 through 736 4 3 2 -1 -1 4 -1 -1 4 2 1 4 -1 3 -2 5 Columns 737 through 752 1 0 -1 4 3 2 4 5 0 3 5 -3 -3 2 -3 -3 Columns 753 through 768 -2 2 -3 2 2 3 4 3 -3 -1 -1 3 2 -2 2 -3 Columns 769 through 784 3 -2 1 0 4 4 -1 4 -2 -3 0 2 -2 1 -3 4 Columns 785 through 800 5 1 2 -1 4 5 1 -3 -4 0 -4 3 4 -4 -1 1 Columns 801 through 816 1 -1 -1 3 4 3 -2 0 1 2 1 -2 2 5 -4 -1 Columns 817 through 832 -1 4 -4 0 -2 3 -3 4 4 -3 -2 0 -4 1 -3 0 Columns 833 through 848 -1 2 5 -2 4 0 5 0 0 2 4 -4 -1 4 -1 -4 Columns 849 through 864 -4 -3 -2 -1 0 -2 0 -4 1 4 -3 3 -3 -2 -3 -2 Columns 865 through 880 -4 -2 -4 1 -2 2 -4 -2 -1 3 -4 0 4 -2 2 -3 Columns 881 through 896 3 -1 -4 3 3 1 -2 -2 3 -2 -3 -2 -1 0 -1 0 Columns 897 through 912 1 1 3 2 -4 -2 1 -2 0 2 0 2 1 1 2 1 Columns 913 through 928 0 2 0 0 -3 3 -2 -2 -3 -2 4 4 1 -3 3 -1 Columns 929 through 944 3 -3 2 3 0 2 1 0 -4 -2 3 2 3 2 1 4 Columns 945 through 960 -1 5 2 -2 3 3 3 -1 2 4 -3 4 0 3 1 -4 Columns 961 through 976 -4 1 -1 -2 1 -3 -2 3 3 -3 -3 1 -2 -4 -3 -1 Columns 977 through 992 4 -3 4 -2 4 2 -3 -2 1 -2 -4 -1 -4 5 3 4 Columns 993 through 1008 1 2 0 3 -1 -4 -1 4 -4 3 -2 5 0 2 -3 5 Columns 1009 through 1024 -1 3 -1 -1 5 2 -2 4 2 4 5 -2 4 -1 5 -3 Columns 1025 through 1040 1 -2 -1 4 3 0 3 2 3 -1 2 4 -4 4 1 2 Columns 1041 through 1056 -2 -1 -3 -3 2 4 5 -2 4 -2 1 -4 -2 -4 -1 -3 Columns 1057 through 1072 0 2 -4 -2 -2 -2 -4 3 0 -2 3 1 -3 1 5 4 Columns 1073 through 1088 0 -1 4 0 -2 0 4 -1 -3 1 5 -3 0 -1 1 -2 Columns 1089 through 1104 -4 -1 1 -3 2 -4 -2 -3 3 -1 -4 3 2 0 -3 3 Columns 1105 through 1120 3 2 4 -4 2 4 4 -2 -3 2 4 4 -2 1 4 -3 Columns 1121 through 1136 4 -2 1 5 4 1 -4 -2 2 3 2 2 -1 1 4 2 Columns 1137 through 1152 -4 4 2 -3 1 -4 1 0 0 -3 1 -3 5 -3 1 3 Columns 1153 through 1168 -4 2 3 2 -1 -1 -3 4 2 -2 1 3 -3 -1 -1 5 Columns 1169 through 1184 -1 4 2 -1 2 2 1 -4 4 4 4 2 -2 -4 -2 4 Columns 1185 through 1200 -3 2 5 -2 -1 2 0 0 -3 4 3 0 5 2 5 2 Columns 1201 through 1216 4 -1 -1 5 -1 2 -4 2 4 4 2 1 -4 0 -3 -3 Columns 1217 through 1232 -1 -1 5 3 3 -3 2 -4 -3 1 0 0 -4 -2 -3 -1 Columns 1233 through 1248 -3 -4 1 3 -1 1 1 0 3 -3 1 -4 5 -1 5 2 Columns 1249 through 1264 -1 0 1 -1 3 3 5 2 0 -1 0 0 -1 4 -1 2 Columns 1265 through 1280 -3 5 0 0 -1 0 0 1 3 1 1 3 4 2 3 0 Columns 1281 through 1296 1 1 -2 0 2 0 -1 -3 -3 -1 -3 -2 3 1 -2 2 Columns 1297 through 1312 -3 -4 5 0 -2 5 3 0 -4 1 3 -3 -1 4 -2 3 Columns 1313 through 1328 1 0 0 0 1 -1 2 -1 5 0 0 2 4 4 -4 -3 Columns 1329 through 1344 3 3 -2 0 -2 1 -4 -1 -2 3 -2 0 0 4 3 3 Columns 1345 through 1360 1 -4 5 5 4 0 -1 2 4 2 3 1 5 3 -1 3 Columns 1361 through 1376 -2 0 -4 -1 -4 -2 0 0 -1 4 1 3 -3 1 0 2 Columns 1377 through 1392 1 4 2 5 2 -3 4 -4 -1 -2 4 0 -2 1 5 2 Columns 1393 through 1408 -1 1 0 2 0 3 5 -1 1 3 -2 -3 0 1 4 -3 Columns 1409 through 1424 -4 4 1 -4 4 1 5 3 4 -2 3 4 -1 -1 -4 2 Columns 1425 through 1440 -3 -4 -1 5 5 -4 1 -1 -1 2 2 2 -1 -3 -1 -1 Columns 1441 through 1456 3 0 1 3 0 -2 -2 -1 4 -3 1 -2 2 4 1 2 Columns 1457 through 1472 0 2 5 3 3 -2 -4 5 1 -1 5 -4 -4 2 -3 2 Columns 1473 through 1488 2 1 3 3 -1 4 2 -3 -2 2 -2 -1 -1 -3 1 3 Columns 1489 through 1504 -1 2 2 0 4 1 -3 0 5 5 -4 -3 -1 -3 1 5 Columns 1505 through 1520 -3 0 -4 -4 5 2 3 3 -2 0 1 4 3 2 1 -3 Columns 1521 through 1536 -3 4 0 -2 -2 0 3 0 1 1 1 1 4 5 -2 -3 Columns 1537 through 1552 0 1 -3 -2 -2 3 4 -1 -3 -3 0 -2 1 -3 3 -4 Columns 1553 through 1568 3 4 4 1 -1 2 -1 -1 1 5 4 1 -2 5 -1 3 Columns 1569 through 1584 1 1 -4 0 1 -1 3 -3 -4 4 0 1 5 -4 -2 -4 Columns 1585 through 1600 -3 -4 -3 -2 -2 -4 4 4 3 2 -1 0 3 2 4 0 Columns 1601 through 1616 1 -2 -1 4 -3 0 0 1 2 3 4 -1 2 -3 -2 -1 Columns 1617 through 1632 -2 2 2 2 -4 -1 -2 1 1 0 1 0 1 -2 3 1 Columns 1633 through 1648 1 3 1 4 -3 1 0 2 3 -3 5 -1 2 -1 1 4 Columns 1649 through 1664 3 0 2 4 -3 -1 -3 1 4 -1 -3 -3 2 4 -3 0 Columns 1665 through 1680 -1 4 3 -2 0 3 1 -1 0 0 -2 2 3 3 -4 -3 Columns 1681 through 1696 -3 3 3 4 -3 -3 1 -2 1 4 4 3 -2 -4 2 -1 Columns 1697 through 1712 -1 1 2 1 2 5 2 1 -1 2 4 -1 5 1 4 2 Columns 1713 through 1728 3 1 0 4 -1 -1 5 -3 1 3 -1 0 1 -3 4 -1 Columns 1729 through 1744 3 2 3 1 3 -1 -4 4 0 -1 5 4 5 0 2 0 Columns 1745 through 1760 -1 4 2 5 -1 -3 5 5 3 2 3 4 3 4 -3 -3 Columns 1761 through 1776 -4 -2 4 -2 -2 3 1 3 -2 4 4 3 1 -2 -2 -3 Columns 1777 through 1792 -4 -3 -3 -2 1 4 5 0 2 -3 -4 -4 2 -3 4 -3 Columns 1793 through 1808 3 3 -3 -3 -2 -1 0 4 3 -4 3 -3 2 4 3 4 Columns 1809 through 1824 0 -1 -4 1 1 4 1 -2 3 -3 3 4 -1 -1 3 -2 Columns 1825 through 1840 -3 3 3 4 3 4 1 -3 3 0 0 1 5 4 0 -4 Columns 1841 through 1856 3 -2 -1 3 -2 5 4 -3 4 1 -3 2 3 -2 1 -3 Columns 1857 through 1872 1 -3 0 3 -3 -1 -2 2 -1 1 2 1 -1 4 3 0 Columns 1873 through 1888 0 1 -2 -1 4 4 2 3 -2 3 5 3 -2 -2 5 -2 Columns 1889 through 1904 0 -4 -3 0 -1 -3 -2 -3 4 0 -1 1 2 4 4 4 Columns 1905 through 1920 1 -4 3 4 5 5 1 1 -1 -2 -1 0 4 -4 0 -1 Columns 1921 through 1936 3 -1 5 -4 -2 1 1 3 -4 -1 1 2 4 3 3 -2 Columns 1937 through 1952 2 -2 5 -1 2 4 -3 3 1 -1 -3 0 0 5 2 -2 Columns 1953 through 1968 1 0 0 4 -1 2 -2 1 4 3 4 1 2 0 1 5 Columns 1969 through 1984 0 3 4 -4 0 3 -1 -3 -2 5 2 -4 -2 0 1 4 Columns 1985 through 2000 3 0 4 -1 -1 5 -2 -2 4 2 2 -2 3 4 5 4 Columns 2001 through 2016 -2 4 -2 1 -3 4 4 -4 -2 2 5 -1 -3 -3 1 1 Columns 2017 through 2032 -1 0 1 -1 4 4 5 1 -1 5 2 -1 1 0 4 -2 Columns 2033 through 2048 2 2 5 3 3 2 -1 -2 1 0 -4 3 0 -2 -2 4 Columns 2049 through 2064 4 -4 2 3 -4 2 1 -2 -3 0 -3 3 1 -1 -4 -3 Columns 2065 through 2080 -1 0 4 4 4 -1 -2 -2 4 2 -2 -3 -2 3 4 1 Columns 2081 through 2096 -4 2 3 -2 0 1 0 -3 1 4 1 -1 1 -2 -3 0 Columns 2097 through 2112 3 1 1 -2 -4 2 -1 -2 3 0 -2 -1 -3 2 1 -2 Columns 2113 through 2128 0 0 -2 -2 -4 4 -4 2 1 -1 -2 0 1 -1 3 -3 Columns 2129 through 2144 0 -2 2 4 1 4 2 -3 -3 2 2 3 -3 -4 4 1 Columns 2145 through 2160 2 5 3 -1 3 0 -3 -3 2 -1 5 -1 4 -4 -4 2 Columns 2161 through 2176 3 3 3 4 -2 3 4 0 1 0 -3 2 3 1 4 0 Columns 2177 through 2192 5 -1 1 1 -1 4 4 -1 5 2 2 4 -3 2 4 0 Columns 2193 through 2208 3 1 0 2 -1 0 -3 5 1 2 -1 4 -2 -1 1 0 Columns 2209 through 2224 1 1 2 -4 2 2 3 -1 2 1 0 3 1 0 -2 1 Columns 2225 through 2240 4 1 -3 2 4 -2 1 3 -1 2 1 1 3 3 -3 2 Columns 2241 through 2256 4 -2 -3 3 3 -3 -3 -2 0 3 1 -1 -3 -2 0 -4 Columns 2257 through 2272 2 -1 3 4 3 2 1 1 -2 -3 0 -3 0 -2 2 3 Columns 2273 through 2288 0 2 0 -3 -1 3 3 3 -2 3 1 -1 -4 -3 3 5 Columns 2289 through 2304 1 1 -1 1 -3 3 4 2 1 -1 1 -4 1 4 -3 -1 Columns 2305 through 2320 -1 3 2 2 2 1 -2 -4 1 2 3 4 -1 0 3 2 Columns 2321 through 2336 -3 -3 0 -2 -1 -1 4 3 1 -2 4 -3 5 0 4 -1 Columns 2337 through 2352 5 3 3 -2 1 2 3 2 0 -1 -4 -3 5 0 -1 1 Columns 2353 through 2368 1 1 -3 5 -3 5 3 3 -1 3 4 -4 3 -1 3 3 Columns 2369 through 2384 4 1 -2 -2 4 3 5 -1 0 3 -3 -2 2 1 -2 -4 Columns 2385 through 2400 -3 3 -2 5 4 -4 -2 0 0 4 -1 0 -1 4 -4 -4 Columns 2401 through 2416 -3 0 1 3 0 3 0 3 4 -2 -4 4 -2 -4 3 -4 Columns 2417 through 2432 -2 0 -4 0 4 3 1 2 5 -4 1 1 -4 3 -2 1 Columns 2433 through 2448 -2 1 1 -4 -1 -4 3 0 -4 4 -2 5 5 1 1 -2 Columns 2449 through 2464 3 0 -1 4 2 3 0 3 -4 -2 3 -3 -3 0 -1 -3 Columns 2465 through 2480 2 1 5 2 0 -2 -4 -1 0 4 -3 -1 4 -2 0 4 Columns 2481 through 2496 4 1 0 0 -3 -3 -4 0 -3 -4 -1 4 1 1 2 -2 Columns 2497 through 2500 2 -4 3 3 >> var(x) ans = 7.0009 >> var(x,1) ans = 6.9981 >> x=[1.2,5,3,7] x = 1.2000 5.0000 3.0000 7.0000 >> var(x) ans = 6.2767 >> var(x') ans = 6.2767 >> a=1 a = 1 >> A=3 A = 3 >> a a = 1 >> A A = 3