How to store R Square values in seperate matrix from different regression ?

Hi,

I am plotting 17 different regression plots. So, I have 17 different 17 R_square values. Now I want to store R_Square values in the matrix - 1 row , 17 columns or vice a versa.

Currently I tried following R1 = num2str(STATS(1),3), so on up to 17 R Square values then try to create array or matrix as below

[xR] = [R1 R2 R 3.......R17] save ' xR.mat' xR but this stores as "ans" not as array I tried xR = {R1, R2, R3, ....R17} --- it creates the array but does not create the matrix. --- I may add more regression plots so instead of putting R Square values in array manually. I would like to use loop or if command to store the R_Square values in matrix.

is there any good way to store these R_Square values using loop or if ?

[Muhammad Usman Saleem]

1 row , 17 columns or vice a versa. what is meant of these line. Are you want all r in single row?

[Rahul Panchal]

all R in one row or in one column which ever is easier

[Rahul Panchal]

one row but 17 singe cell columns like R1 R2 R3 ...R17 or one single columns with 17 rows like R1 R2 R3

[Muhammad Usman Saleem]

see my answer below

Answer 1

[Muhammad Usman Saleem]

For single row and 17 column, try this one

xR = [R1; R2; R3;R4;R5;....;R17] ;

This create a matrix 1*17.

What is nature of R1? whether it is vector or some scaler?

According to my understanding of your kind question, You are looking something like this

   R1=rand(1,3) %random vector order(1,3)

R1 =

      0.9134    0.6324    0.0975

R2=rand(1,3)

R2 =

      0.1419    0.4218    0.9157

>> R3=rand(1,3)

R3 =

      0.7922    0.9595    0.6557

Now making a matrix of R1,R2,R3

xR=[R1;R2;R3]

xR =

      0.9134    0.6324    0.0975
      0.1419    0.4218    0.9157
      0.7922    0.9595    0.6557