cumulative average for each element

hey, i need to build a function who receives a vector and return the cumulative average for each element . for ex: vecMean([1 2 3 4])= [1 1.5 2 2.5].

the problem is that im reciving a row vector but sometimes i want to put column vec and recive a column also.

% the function calculates the cumulative average of elements in a vector.
% each element in the output vector is the average of this element and all
% previous elements in the input.

% the function gets a vector of numbers (=vecOfNum) 
% and return output vector (=vecPrevMean),
% each element is the average of all previous elements. 

function [vecPrevMean]= vecMean(vecOfNum)

count=1; %count the amount of elements in the vector
sumNum=0; %sum the elements 

for i=1:length(vecOfNum);
  
   if iscolumn(vecOfNum)==0
  sumNum= sumNum+ vecOfNum(i);
  vecPrevMean(i)=sumNum./count;   
  count=count+1;
  
  elseif iscolumn(vecOfNum)==1
  sumNum= sumNum+ vecOfNum(i);
  vecPrevMean(i)=(sumNum./count)'; 
  count=count+1;
  end
    
end

Answer 1

[madhan ravi]

no loops needed:

>> a=1:4
   desired_result=cumsum(a)./(1:numel(a))

a =

     1     2     3     4


desired_result =

    1.0000    1.5000    2.0000    2.5000

>> 

Answer 2

[fakhri]

hey,

Write a function called matMean that calculates the cumulative average of the rows or the columns of a matrix. Your function should get two input arguments: • First input argument: a matrix of numbers. • Second input argument: Type of cumulative average to calculate - can get one of two values: the number 1 for calculating the cumulative average of the rows of the matrix, or the number 2 for calculating the cumulative average of the columns of the matrix.

For this question you should write your own algorithm for calculating the cumulative averages of the arrays - do not use built-in statistical MATLAB functions such as: mean, sum, cumsum, etc

[DGM]

What part of this is an answer to the question?

What have you done other than pasting your assignment?

" For this question you should write your own algorithm"