Change data that adds one row per iteration into one single matrix of all rows

 n=n+1;
    table(n,1) = theta2;
    table(n,2) = theta3;
    table(n,3) = r31;
    table(n,4) = theta4;
    table(n,5) = r5;
    table(n,6) = det_1;
    table(n,7) = det_2;
    table(n,8) = theta3_prime;
    table(n,9) = r31_prime;
    table(n,10) = theta3_dprime;
    table(n,11) = r31_dprime;
    table(n,12) = det1_vmatrix;
    table(n,13) = theta4_prime;
    table(n,14) = r5_prime;
    table(n,15) = theta4_dprime;
    table(n,16) = r5_dprime
    table(n,17) = det2_vmatrix;

I would like to have one matrix of all of this data instead of multiple matrices that only add one row at a time. The input of the for loop is theta2=0:10:360; Here is an example of what the command window returns table =

Columns 1 through 13

         0  196.5783  105.8701  143.1301  100.0000  137.4727  200.0000    0.6300  -41.5101    0.0556   23.9650  137.4726    0.4330

Columns 14 through 16

-28.5325   -0.1406   41.4063

table =

Columns 1 through 13

         0  196.5783  105.8701  143.1301  100.0000  137.4727  200.0000    0.6300  -41.5101    0.0556   23.9650  137.4726    0.4330
   10.0000  202.9118   99.0044  148.1048  114.5428  120.6135  200.0000    0.6351  -37.0537    0.0007   27.8404  120.6088    0.3609

Columns 14 through 17

-28.5325   -0.1406   41.4063  200.0000
-21.0550   -0.1629   49.3192         0

[Image Analyst]

Don't use table as a variable name - it's the name of a built-in function.

Answer 1

[Star Strider]

I am not certain I understand what you want, but you could do this:

for n = 1:N
    table(n,:) = [theta2 theta3 r31 theta4 r5 det_1 det_2 theta3_prime r31_prime det1_vmatrix theta4_prime r5_prime theta4_dprime det2_vmatrix];
end

where ‘N’ is the number of times you want to loop through it.

If each of these values are vectors themselves, then instead of the loop, convert each to a column vector and use one statement:

table = [theta2 theta3 r31 theta4 r5 det_1 det_2 theta3_prime r31_prime det1_vmatrix theta4_prime r5_prime theta4_dprime det2_vmatrix];

[Eric]

sorry if i wasn't clear. I added a line at the end

results=table(n,:)

Thank you for your time taken to look into my question. I would like all of this data to be in one matrix instead of split up like this: Here are the first few rows from the command window:

results =

Columns 1 through 13

         0  196.5783  105.8701  143.1301  100.0000  137.4727  200.0000    0.6300  -41.5101    0.0556   23.9650  137.4726    0.4330

Columns 14 through 17

-28.5325   -0.1406   41.4063  200.0000

results =

Columns 1 through 13

   10.0000  202.9118   99.0044  148.1048  114.5428  120.6135  200.0000    0.6351  -37.0537    0.0007   27.8404  120.6088    0.3609

Columns 14 through 17

-21.0550   -0.1629   49.3192  212.2539

results =

Columns 1 through 13

   20.0000  208.7671   95.0256  152.5032  128.4249  120.6088  212.2539    0.6198  -29.3951   -0.1051   42.4156  103.7035    0.2899

Columns 14 through 17

-13.7464   -0.1980   52.4878  221.7591

FYI, your suggestions returned the error: Subscripted assignment dimension mismatch.

Error in Project2_part2 (line 165) table(n,:) = [theta2 theta3 r31 theta4 r5 det_1 det_2 theta3_prime r31_prime det1_vmatrix theta4_prime r5_prime theta4_dprime det2_vmatrix];

[Star Strider]

I have no idea what you’re doing or what your data actually look like.

I assume that you are creating each of your scalars (theta2...det2_vmatrix) in a loop and then at the end of the loop are assigning them to your ‘table’ array. (As Image Analyst noted, ‘table’ is a a built-in function beginning with R2013b, so it would be best to name it something else if you have that and later versions.) I am simply offering a different way of doing the same thing.

[Eric]

I got it. Thanks for the help.

[Star Strider]

My pleasure!