Keeping track of numbers randomly generated

Question

Sumara 2019-6-12

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/466758-keeping-track-of-numbers-randomly-generated

编辑： Sumara 2019-6-12

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

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madhan ravi 2019-6-12

Upload the missing datas also the tables as .mat file.

Sumara 2019-6-12

在 MATLAB Online 中打开

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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Answer 1

Sumara 2019-6-12

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/466758-keeping-track-of-numbers-randomly-generated#answer_378942

编辑：Sumara 2019-6-12

在 MATLAB Online 中打开

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];