Error using sum.Invalid data type. First argument must be numeric or logical.

2020 3 5
0 个回答
更新时间：2020 3 5
13 次查看（30 天）

1 个投票

I want to calculate the mean value but its cannot calculate that and giving error.
%%%%%%%%%%%%%%%%error%%%%%%%%%%%%%
Error using sum
Invalid data type. First argument must be numeric or logical.
Error in mean (line 116)
y = sum(x, dim, flag) ./ size(x,dim);
Error in featureNormalize (line 7)
mu = mean (X);
Error in trynsl (line 14)
X_n = featureNormalize(X);
%%%%functioncode%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function[X_norm,mu,sigma] = featureNormalize(X)
X_norm = X;
mu = zeros(1, size(X, 2));
sigma = zeros(1, size(X, 2));
mu = mean (X);
for i=1:size(X, 2)
X(:,i) = X(:,i) - mu(i);
end
sigma = std (X);
for i=1:size(X, 2)
X(:,i) = X(:,i) ./ sigma(i);
end
X_norm = X;
end

6 个评论
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Walter Roberson
Walter Roberson 2020-3-5
What is class(X) ?
I predict that X is a cell array.
Mavra Mehmood
Mavra Mehmood 2020-3-5
this the code in which i call that function.X was cell array but further i convrt it into table.
%%%%%%%%Code%%%%%%%%%%
fid = fopen('KDDTrain+.txt','r');
data = textscan(fid,repmat('%s',1,43),'delimiter',',','CollectOutput',true);
data = data{1};
fclose(fid);
data(:,1) = num2cell(str2double(data(:,1)) );
data(:,5:41) = num2cell(str2double(data(:,5:41)) );
data(:,43) = num2cell(str2double(data(:,43)) );
%X = cell2mat(data); % convert cell to matrix
X= cell2table(data);
% Before normalization separate the output from the file
y = X(:,42);
X(:,42) = [ ];
X_n = featureNormalize(X);
%If there is any column with NaN values, remove it
X_n = X_n(:,all(~isnan(X_n)));
X_n = [ones(length(X_n), 1) X_n]; %add a new column with 1's
Mavra Mehmood
Mavra Mehmood 2020-3-5
Thankyou for your help now it's given this error
at doing this %% X_n = featureNormalize(X{:,:});
Error using trynsl (line 15)
Unable to concatenate the table variables 'data1' and 'data2', because their types are double and cell
Walter Roberson
Walter Roberson 2020-3-5
Your columns 2, 3, and 4 are character vectors. You cannot normalize character vectors.
Note that your y is a table that contains a single variable that is character vectors.
Note by the way that you can do things like,
fmt_cell = repmat({'%d'}, 1, 43);
fmt_cell([2:4, 42]) = {'%s'};
fmt = [fmt_cell{:}];
data = textscan(fid,fmt,'delimiter',',','CollectOutput',true);
d1 = data{1}; %numeric
d2_4 = data{2}; %character
d5_41 = data{3}; %numeric
y = data{4}; %character
d43 = data{5};
X = [d1, d5_41, d43];
X_n = featureNormalize(X);
Mavra Mehmood
Mavra Mehmood 2020-3-5
it stills not working properly
Error in featureNormalize (line 12)
sigma = std (X);
Error in trynsl (line 25)
X_n = featureNormalize(X);
code
function[X_norm,mu,sigma] = featureNormalize(X)
X_norm = X;
mu = zeros(1, size(X, 2));
sigma = zeros(1, size(X, 2));
mu = mean (X);
for i=1:size(X, 2)
X(:,i) = X(:,i) - mu(i);
end
sigma = std(X);
for i=1:size(X, 2)
X(:,i) = X(:,i) ./ sigma(i);
end
X_norm = X;
end

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