Keeping track of numbers randomly generated

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This is the beginning of a for loop that determines the time the 'Binding_tRNA' adds in a set of given circumstances.
I'd like to output a table that keeps track of the Binding_tRNA numbers generated and whether they are Cognate, Near_Cognate, or Non_Cognate
for k = 1:maxIterations
Binder = rand;
Low = Binder<=Weight_Range;
Binding_tRNA = Fluitt1{end-(sum(Low)-1),'tRNA_'}
Cognate = sum(Binding_tRNA == Cognate_tRNAs);
Near_Cognate = sum(Binding_tRNA ==Near_Cognate_tRNAs);
Non_Cognate = sum(Binding_tRNA == Non_Cognate_tRNAs);
A = zeros((Cog_Attempts+Near_Cog_Attempts+Non_Cog_Attempts),2)
Sorry, I know it's not pretty I'm very new to coding
  2 Comments
madhan ravi
madhan ravi on 12 Jun 2019
Upload the missing datas also the tables as .mat file.
Sumara
Sumara on 12 Jun 2019
I think this covers it?
Fluitt2_Cognate_Array = table2array(Fluitt2(:,2:5));
Fluitt2_NC_Array = table2array(Fluitt2(:,[2,6:end]));
Fluitt_NC = Fluitt2_NC_Array(:,2:end);
Cog_and_NC = [Fluitt2_Cognate_Array(:,2:end),Fluitt_NC];
Cog_and_NC2 = array2table(Cog_and_NC);
NonC_tRNAs = rowfun(@(varargin) setdiff(1:48, cell2mat(varargin)), Cog_and_NC2, 'OutputFormat', 'cell');
Codon = randi([0,64]);
Cognate_tRNAs = Fluitt2_Cognate_Array(Codon,2:end);
Near_Cognate_tRNAs = Fluitt2_NC_Array(Codon,2:end);
Non_Cognate_tRNAs = NonC_tRNAs{Codon,:};
Weight_Range = Fluitt1{1:end,'WeightRange'};
Num = 1;
maxIterations = 5;
for k = 1:maxIterations
Binder = rand;
Low = Binder<=Weight_Range;
Binding_tRNA = Fluitt1{end-(sum(Low)-1),'tRNA_'};
Cognate = sum(Binding_tRNA == Cognate_tRNAs);
Near_Cognate = sum(Binding_tRNA ==Near_Cognate_tRNAs);
Non_Cognate = sum(Binding_tRNA == Non_Cognate_tRNAs);
end

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Accepted Answer

Sumara
Sumara on 12 Jun 2019
Edited: Sumara on 12 Jun 2019
Hey all, nevermind, i figured it out, I was being dumb!!!
A=zeros(maxIterations,7);
for k = 1:maxIterations
Binder = rand;
Low = Binder<=Weight_Range;
Binding_tRNA = Fluitt1{end-(sum(Low)-1),'tRNA_'};
Cognate = sum(Binding_tRNA == Cognate_tRNAs);
Near_Cognate = sum(Binding_tRNA ==Near_Cognate_tRNAs);
Non_Cognate = sum(Binding_tRNA == Non_Cognate_tRNAs);
A(k,1:4) = [Binding_tRNA Cognate Near_Cognate Non_Cognate];
(I reference the other 3 variables in A in nested loops below this for loop)

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R2019a

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