Dot indexing is not supported for variables of this type

hello, i have this feature Extraction algorithm but i have error : Dot indexing is not supported for variables of this type

xApp = av_train;
data=xApp (: , 1);
type = 1;
feature=featureExtraction(data,'mean',type);

there is my feature Extraction function, can anyone help me please

function feature=featureExtraction(data,param,type)
%
%Input:
% data:nxm, n:#of patterns, m: number of features
% method:'raw','mean','meanVar'
% window: window length
% type: 1 --- for movtimavg
%       2 --- for windowingLabels

switch param.method
    case 'raw', feature = data;
        
    case 'mean'
        if (type==1)
        feature = movtimavg(data,param.window,param.step);
        end
        if (type==2)
        feature = windowingLabels(data,param.window,param.step);
        end
        
    case 'meanVar',feature = movtimavg(data,param.window,param.step,1);
        if (type==1)
        feature = movtimavg(data,param.window,param.step,1);
        end
        if (type==2)
        feature = windowingLabels(data,param.window,param.step);
        end
end

Answer 1

[Scott MacKenzie]

Change

xApp = av_train;
data=xApp (: , 1);
type = 1;
feature=featureExtraction(data,'mean',type);

to

xApp = av_train;
data=xApp (: , 1);
param.method = 'mean';
param.window = 3; % change window size, as needed
param.step = 2;   % change step size, as needed
type = 1;
feature=featureExtraction(data,param,type);

[Nassim CHERIF]

now i have this error :( :

Reference to non-existent field 'method'.

Error in featureExtraction (line 10)
switch param.method

Error in main (line 8)
feature=featureExtraction(data,param,type);

[Scott MacKenzie]

OK, try the modified code in my answer. I'm not sure what window or step sizes might work for you, however.

[Nassim CHERIF]

thank you so much the problem is solved !

Answer 2

[Image Analyst]

Evidently param is not a structure like you thought.

Also

case 'meanVar',feature = movtimavg(data,param.window,param.step,1);

should be on two lines, not one.

[Nassim CHERIF]

i didnt understand sorry, what should i do to correct that ?

[Image Analyst]

Well, put them on different lines.

case 'meanVar'
    feature = movtimavg(data,param.window,param.step,1);