Hi,
I have a cell array of cell arrays of doubles called "C_512_numeric". I have the script called edit and I want to loop through all columns in the doubles in C_512_numeric and use the column data as input for edit (first argument). I have attached the script.
How would I write this code?Hi,
I have a cell array of cell arrays of doubles called "C_512_numeric". I have the script called edit and I want to loop through all columns in the doubles in C_512_numeric and use the column data as input for edit (first argument). I have attached the script.
How would I write this code? Hi,
I have a cell array of cell arrays of doubles called "C_512_numeric". I have the script called edit and I want to loop through all columns in the doubles in C_512_numeric and use the column data as input for edit (first argument). I have attached the script.
How would I write this code? cells, doubles, script, input MATLAB Answers — New Questions

​

Hi I have the data set C_512 (see attached) and I want to make the tables within the cells of the cell array into numeric arrays so that there are no longer any tables in C_512. I used this code below:
% Load the .mat file
load(‘/path/to/C_512.mat’);

% Initialize a new cell array to store numeric arrays
C_512_numeric = cell(size(C_512));

% Loop through each cell and convert its content to numeric arrays
for i = 1:size(C_512, 1)
for j = 1:size(C_512, 2)
T = C_512{i, j};
if istable(T)
C_512_numeric{i, j} = table2array(T);
else
C_512_numeric{i, j} = T; % If it’s already an array or matrix
end
end
end

% Save the numeric data to a new .mat file
save(‘C_512_numeric.mat’, ‘C_512_numeric’);

Unfortunately, C_512_numeric still contains tables. Why is that?Hi I have the data set C_512 (see attached) and I want to make the tables within the cells of the cell array into numeric arrays so that there are no longer any tables in C_512. I used this code below:
% Load the .mat file
load(‘/path/to/C_512.mat’);

% Initialize a new cell array to store numeric arrays
C_512_numeric = cell(size(C_512));

% Loop through each cell and convert its content to numeric arrays
for i = 1:size(C_512, 1)
for j = 1:size(C_512, 2)
T = C_512{i, j};
if istable(T)
C_512_numeric{i, j} = table2array(T);
else
C_512_numeric{i, j} = T; % If it’s already an array or matrix
end
end
end

% Save the numeric data to a new .mat file
save(‘C_512_numeric.mat’, ‘C_512_numeric’);

Unfortunately, C_512_numeric still contains tables. Why is that? Hi I have the data set C_512 (see attached) and I want to make the tables within the cells of the cell array into numeric arrays so that there are no longer any tables in C_512. I used this code below:
% Load the .mat file
load(‘/path/to/C_512.mat’);

% Initialize a new cell array to store numeric arrays
C_512_numeric = cell(size(C_512));

% Loop through each cell and convert its content to numeric arrays
for i = 1:size(C_512, 1)
for j = 1:size(C_512, 2)
T = C_512{i, j};
if istable(T)
C_512_numeric{i, j} = table2array(T);
else
C_512_numeric{i, j} = T; % If it’s already an array or matrix
end
end
end

% Save the numeric data to a new .mat file
save(‘C_512_numeric.mat’, ‘C_512_numeric’);

Unfortunately, C_512_numeric still contains tables. Why is that? convert, tables, numeric array, error, cell MATLAB Answers — New Questions

​

So I was trying to add milliseconds to my datetime variables and found a sort of inconsistency?
When setting datetime format using datetime(‘now’,’Format’,’hh:mm:ss.sss’) , the sss at the end is not capatilization sensitive; but when trying to access and change it using variable_name.Format = ‘hh:mm:ss.SSS’, the SSS at the end is capatilization sensitive.
Is this a minor inconsitency or is this intended? If it’s the latter what is the rationale behind? As it only makes it more confusing imoSo I was trying to add milliseconds to my datetime variables and found a sort of inconsistency?
When setting datetime format using datetime(‘now’,’Format’,’hh:mm:ss.sss’) , the sss at the end is not capatilization sensitive; but when trying to access and change it using variable_name.Format = ‘hh:mm:ss.SSS’, the SSS at the end is capatilization sensitive.
Is this a minor inconsitency or is this intended? If it’s the latter what is the rationale behind? As it only makes it more confusing imo So I was trying to add milliseconds to my datetime variables and found a sort of inconsistency?
When setting datetime format using datetime(‘now’,’Format’,’hh:mm:ss.sss’) , the sss at the end is not capatilization sensitive; but when trying to access and change it using variable_name.Format = ‘hh:mm:ss.SSS’, the SSS at the end is capatilization sensitive.
Is this a minor inconsitency or is this intended? If it’s the latter what is the rationale behind? As it only makes it more confusing imo datetime MATLAB Answers — New Questions

​

Hello,

I have measurement data S21, of many different channels. How can I calculate the coherence Bandwidth of the channels from that?

Thanks a lot for your valuable helpHello,

I have measurement data S21, of many different channels. How can I calculate the coherence Bandwidth of the channels from that?

Thanks a lot for your valuable help Hello,

I have measurement data S21, of many different channels. How can I calculate the coherence Bandwidth of the channels from that?

Thanks a lot for your valuable help communication, digital signal processing MATLAB Answers — New Questions

​

This is only my first couple of days using MATLAB. Basically I am trying to make a little temperature conversion program however the displayed answer is always in the form of a 1 x 2 matrix. Any advice is appreciated.
% prompt for user to choose which conversion
chosen_temp = input(‘What is ur chosen conversion, Celsius to Farenheit (1) or Farenheit to Celsius (2): ‘,’s’);

% using that answer to determine which formula is needed and then the
% converted answer
switch chosen_temp
case ‘1’
disp(‘Celsius to Farenheit’)
initial_temp = input(‘Enter the temperature you would like to convert in Celsius:’, ‘s’);
temperature = initial_temp * 9 / 5 + 32
case ‘2’
disp(‘Farenheit to Celsius’)
initial_temp = input(‘Enter the temperature you would like to convert in Farenheit:’, ‘s’);
temperature = (initial_temp – 32) * (5 / 9)

endThis is only my first couple of days using MATLAB. Basically I am trying to make a little temperature conversion program however the displayed answer is always in the form of a 1 x 2 matrix. Any advice is appreciated.
% prompt for user to choose which conversion
chosen_temp = input(‘What is ur chosen conversion, Celsius to Farenheit (1) or Farenheit to Celsius (2): ‘,’s’);

% using that answer to determine which formula is needed and then the
% converted answer
switch chosen_temp
case ‘1’
disp(‘Celsius to Farenheit’)
initial_temp = input(‘Enter the temperature you would like to convert in Celsius:’, ‘s’);
temperature = initial_temp * 9 / 5 + 32
case ‘2’
disp(‘Farenheit to Celsius’)
initial_temp = input(‘Enter the temperature you would like to convert in Farenheit:’, ‘s’);
temperature = (initial_temp – 32) * (5 / 9)

end This is only my first couple of days using MATLAB. Basically I am trying to make a little temperature conversion program however the displayed answer is always in the form of a 1 x 2 matrix. Any advice is appreciated.
% prompt for user to choose which conversion
chosen_temp = input(‘What is ur chosen conversion, Celsius to Farenheit (1) or Farenheit to Celsius (2): ‘,’s’);

% using that answer to determine which formula is needed and then the
% converted answer
switch chosen_temp
case ‘1’
disp(‘Celsius to Farenheit’)
initial_temp = input(‘Enter the temperature you would like to convert in Celsius:’, ‘s’);
temperature = initial_temp * 9 / 5 + 32
case ‘2’
disp(‘Farenheit to Celsius’)
initial_temp = input(‘Enter the temperature you would like to convert in Farenheit:’, ‘s’);
temperature = (initial_temp – 32) * (5 / 9)

end transferred MATLAB Answers — New Questions

​

Hello gyus,

I extract 20 features for 8 images(which are 8 diseases) and then I made a .csv file of these features.I have also an another .csv file
with these features from a dataset of 3000 images. So I have the trining and the testing dataset. I want to classificate the 3000 images
with the 8 diseases from the the first .csv file. Can i use the tool of classification learner or only writing code?

Thanks in advance!Hello gyus,

I extract 20 features for 8 images(which are 8 diseases) and then I made a .csv file of these features.I have also an another .csv file
with these features from a dataset of 3000 images. So I have the trining and the testing dataset. I want to classificate the 3000 images
with the 8 diseases from the the first .csv file. Can i use the tool of classification learner or only writing code?

Thanks in advance! Hello gyus,

I extract 20 features for 8 images(which are 8 diseases) and then I made a .csv file of these features.I have also an another .csv file
with these features from a dataset of 3000 images. So I have the trining and the testing dataset. I want to classificate the 3000 images
with the 8 diseases from the the first .csv file. Can i use the tool of classification learner or only writing code?

Thanks in advance! classificationseperate dataclassification tooltesting datatraining datafeauturescsv file MATLAB Answers — New Questions

​

I need to plot a differential equation that shows logistic growth. The equation is: P=(K*A*e^r*t)/(1+A*e^r*t)
where K is the carrying capacity, a constant, and K = 1,704,885 and A = 0.0122.
I need the correct code so that I can solve for r, as well as put different t to find the population at varying times.
I also need to plot the solution. Thank you for any help!I need to plot a differential equation that shows logistic growth. The equation is: P=(K*A*e^r*t)/(1+A*e^r*t)
where K is the carrying capacity, a constant, and K = 1,704,885 and A = 0.0122.
I need the correct code so that I can solve for r, as well as put different t to find the population at varying times.
I also need to plot the solution. Thank you for any help! I need to plot a differential equation that shows logistic growth. The equation is: P=(K*A*e^r*t)/(1+A*e^r*t)
where K is the carrying capacity, a constant, and K = 1,704,885 and A = 0.0122.
I need the correct code so that I can solve for r, as well as put different t to find the population at varying times.
I also need to plot the solution. Thank you for any help! logistic growth, carrying capacity MATLAB Answers — New Questions

​

I do not solve this problem. I am trying to solve in many ways. Please anyone help me.
I find this problem:
Unable to resolve the name cv.getOptimalNewCameraMatrix.

Error in undistortion>undistorb_images (line 92)
[newcameramtx, roi] = cv.getOptimalNewCameraMatrix(camera_matrix, dist, [width,height], 0,
[width,height]);

Error in undistortion (line 1)
undistorb_images([], []);

undistorb_images([], []);
function [tvec, rvec, camera_matrix, dist] = read_wp2c(input_name)
%input_name = "output_wp2camera.json";
raw = fileread(input_name);
input_params = jsondecode(raw);

camera_matrix = input_params.camera_matrix;
dist = input_params.dist_coefs;
tvec_json = input_params.translational_vectors;
%tvec = struct2cell(tvec_json);
rvec_json = input_params.rotational_vectors;
%rvec = struct2cell(rvec_json);

tvec = [];
rvec = [];
len = length(tvec_json);
for i = 1:len
%tvec.append(array(tvec_json(image + string(i))))
%tvec.append.tvec_json(i);
tvec = struct2cell(tvec_json(i));
%[A{:}]
%tvec.append(input_params.translational_vectors.image0);
%rvec.append(array(rvec_json(image + string(i))));
rvec = struct2cell(rvec_json(i));

end

end

function undistorb_images(inputParams, result)
%if result is None:
if isempty(result)
input_name = "output_wp2camera.json";
[tvec, rvec, camera_matrix, dist] = read_wp2c(input_name);
else
tvec = result(4);
rvec = result(3);
camera_matrix = result(1);
dist = result(2);
end
if isempty(inputParams)
image_path = "images";
else
image_path = inputParams.opencv_storage.settings.Images_Folder;
end

%image_files = [];
files = [dir(fullfile(image_path,’*.jpg’)); dir(fullfile(image_path,’*.png’)); dir(fullfile(image_path,’*.jpeg’)); dir(fullfile(image_path,’*.PNG’))];
%files = dir(fullfile(image_path, ‘*.(jpg|png)’));
L = length(files);
% kk=0;
% for i=1:L
% file=files(i).name;
% image_files = [image_files, file]
%
%
% end
%disp(image_files)

% for f = dir(image_path)
% %ext = image_path(split(lower(f)));
% %disp(f)
% %if f.endsWith([".jpg",".jpeg",".png", ".PNG"])
% % image_files.append(f);
% %end
% end
image_file_name = [];
if ~isempty(files)
for i=1:L
file=files(i).name;
image_file_name = [image_file_name,file];
%disp(image_file_name)
image = imread(image_path + "" + file);
%disp(image);
% [imagePoints, boardSize] = detectCheckerboardPoints(image_file_name);
% squareSize = 29;
% worldPoints = generateCheckerboardPoints(boardSize, squareSize);
%
% I = readimage(image, 1);
% imageSize = [size(I,1), size(I,2)];
% [params, ~, estimationErrors] = estimateCameraParameters(imagePoinsts, worldPoints, ‘ImageSize’);
[height, width] = size(image);
%disp(string(height) + " " + string(width))
%[newCameraMatrix,w] = cv.getOptimalNewCameraMatrix(cameraMatrix, dist, [width,height]);
[newcameramtx, roi] = cv.getOptimalNewCameraMatrix(camera_matrix, dist, [width,height], 0, [width,height]);
%dst = cv2.undistort(image, camera_matrix, dist, None, newcameramtx)

% imageFileNames{i} = fullfile(matlabroot,’toolbox’,’vision’,’visiondata’,’calibration’,’webcam’,image_file_name);
% [imagePoints,~,imagesUsed] = detectCheckerboardPoints(imageFileNames, ‘PartialDetections’, false);
% imageFileNames = imageFileNames(imagesUsed);
% for i = 1:numel(imageFileNames)
% I = imread(imageFileNames{i});
% subplot(2, 2, i);
% imshow(I);
% hold on;
% plot(imagePoints(:,1,i),imagePoints(:,2,i),’ro’);
% end

[mapx, mapy] = cv.initUndistortRectifyMap(camera_matrix, dist, None, newcameramtx, [width,height], 5);
dst = cv.remap(image, mapx, mapy, INTER_LINEAR);
x, y, w, h = roi;
dst = dst(y:y+h, x:x+w);
[height, width] = size(dst);
print(string(height) + " " + string(width));
imwrite("undistortion/" + file, dst);
end
end
endI do not solve this problem. I am trying to solve in many ways. Please anyone help me.
I find this problem:
Unable to resolve the name cv.getOptimalNewCameraMatrix.

Error in undistortion>undistorb_images (line 92)
[newcameramtx, roi] = cv.getOptimalNewCameraMatrix(camera_matrix, dist, [width,height], 0,
[width,height]);

Error in undistortion (line 1)
undistorb_images([], []);

undistorb_images([], []);
function [tvec, rvec, camera_matrix, dist] = read_wp2c(input_name)
%input_name = "output_wp2camera.json";
raw = fileread(input_name);
input_params = jsondecode(raw);

camera_matrix = input_params.camera_matrix;
dist = input_params.dist_coefs;
tvec_json = input_params.translational_vectors;
%tvec = struct2cell(tvec_json);
rvec_json = input_params.rotational_vectors;
%rvec = struct2cell(rvec_json);

tvec = [];
rvec = [];
len = length(tvec_json);
for i = 1:len
%tvec.append(array(tvec_json(image + string(i))))
%tvec.append.tvec_json(i);
tvec = struct2cell(tvec_json(i));
%[A{:}]
%tvec.append(input_params.translational_vectors.image0);
%rvec.append(array(rvec_json(image + string(i))));
rvec = struct2cell(rvec_json(i));

end

end

function undistorb_images(inputParams, result)
%if result is None:
if isempty(result)
input_name = "output_wp2camera.json";
[tvec, rvec, camera_matrix, dist] = read_wp2c(input_name);
else
tvec = result(4);
rvec = result(3);
camera_matrix = result(1);
dist = result(2);
end
if isempty(inputParams)
image_path = "images";
else
image_path = inputParams.opencv_storage.settings.Images_Folder;
end

%image_files = [];
files = [dir(fullfile(image_path,’*.jpg’)); dir(fullfile(image_path,’*.png’)); dir(fullfile(image_path,’*.jpeg’)); dir(fullfile(image_path,’*.PNG’))];
%files = dir(fullfile(image_path, ‘*.(jpg|png)’));
L = length(files);
% kk=0;
% for i=1:L
% file=files(i).name;
% image_files = [image_files, file]
%
%
% end
%disp(image_files)

% for f = dir(image_path)
% %ext = image_path(split(lower(f)));
% %disp(f)
% %if f.endsWith([".jpg",".jpeg",".png", ".PNG"])
% % image_files.append(f);
% %end
% end
image_file_name = [];
if ~isempty(files)
for i=1:L
file=files(i).name;
image_file_name = [image_file_name,file];
%disp(image_file_name)
image = imread(image_path + "" + file);
%disp(image);
% [imagePoints, boardSize] = detectCheckerboardPoints(image_file_name);
% squareSize = 29;
% worldPoints = generateCheckerboardPoints(boardSize, squareSize);
%
% I = readimage(image, 1);
% imageSize = [size(I,1), size(I,2)];
% [params, ~, estimationErrors] = estimateCameraParameters(imagePoinsts, worldPoints, ‘ImageSize’);
[height, width] = size(image);
%disp(string(height) + " " + string(width))
%[newCameraMatrix,w] = cv.getOptimalNewCameraMatrix(cameraMatrix, dist, [width,height]);
[newcameramtx, roi] = cv.getOptimalNewCameraMatrix(camera_matrix, dist, [width,height], 0, [width,height]);
%dst = cv2.undistort(image, camera_matrix, dist, None, newcameramtx)

% imageFileNames{i} = fullfile(matlabroot,’toolbox’,’vision’,’visiondata’,’calibration’,’webcam’,image_file_name);
% [imagePoints,~,imagesUsed] = detectCheckerboardPoints(imageFileNames, ‘PartialDetections’, false);
% imageFileNames = imageFileNames(imagesUsed);
% for i = 1:numel(imageFileNames)
% I = imread(imageFileNames{i});
% subplot(2, 2, i);
% imshow(I);
% hold on;
% plot(imagePoints(:,1,i),imagePoints(:,2,i),’ro’);
% end

[mapx, mapy] = cv.initUndistortRectifyMap(camera_matrix, dist, None, newcameramtx, [width,height], 5);
dst = cv.remap(image, mapx, mapy, INTER_LINEAR);
x, y, w, h = roi;
dst = dst(y:y+h, x:x+w);
[height, width] = size(dst);
print(string(height) + " " + string(width));
imwrite("undistortion/" + file, dst);
end
end
end I do not solve this problem. I am trying to solve in many ways. Please anyone help me.
I find this problem:
Unable to resolve the name cv.getOptimalNewCameraMatrix.

Error in undistortion>undistorb_images (line 92)
[newcameramtx, roi] = cv.getOptimalNewCameraMatrix(camera_matrix, dist, [width,height], 0,
[width,height]);

Error in undistortion (line 1)
undistorb_images([], []);

undistorb_images([], []);
function [tvec, rvec, camera_matrix, dist] = read_wp2c(input_name)
%input_name = "output_wp2camera.json";
raw = fileread(input_name);
input_params = jsondecode(raw);

camera_matrix = input_params.camera_matrix;
dist = input_params.dist_coefs;
tvec_json = input_params.translational_vectors;
%tvec = struct2cell(tvec_json);
rvec_json = input_params.rotational_vectors;
%rvec = struct2cell(rvec_json);

tvec = [];
rvec = [];
len = length(tvec_json);
for i = 1:len
%tvec.append(array(tvec_json(image + string(i))))
%tvec.append.tvec_json(i);
tvec = struct2cell(tvec_json(i));
%[A{:}]
%tvec.append(input_params.translational_vectors.image0);
%rvec.append(array(rvec_json(image + string(i))));
rvec = struct2cell(rvec_json(i));

end

end

function undistorb_images(inputParams, result)
%if result is None:
if isempty(result)
input_name = "output_wp2camera.json";
[tvec, rvec, camera_matrix, dist] = read_wp2c(input_name);
else
tvec = result(4);
rvec = result(3);
camera_matrix = result(1);
dist = result(2);
end
if isempty(inputParams)
image_path = "images";
else
image_path = inputParams.opencv_storage.settings.Images_Folder;
end

%image_files = [];
files = [dir(fullfile(image_path,’*.jpg’)); dir(fullfile(image_path,’*.png’)); dir(fullfile(image_path,’*.jpeg’)); dir(fullfile(image_path,’*.PNG’))];
%files = dir(fullfile(image_path, ‘*.(jpg|png)’));
L = length(files);
% kk=0;
% for i=1:L
% file=files(i).name;
% image_files = [image_files, file]
%
%
% end
%disp(image_files)

% for f = dir(image_path)
% %ext = image_path(split(lower(f)));
% %disp(f)
% %if f.endsWith([".jpg",".jpeg",".png", ".PNG"])
% % image_files.append(f);
% %end
% end
image_file_name = [];
if ~isempty(files)
for i=1:L
file=files(i).name;
image_file_name = [image_file_name,file];
%disp(image_file_name)
image = imread(image_path + "" + file);
%disp(image);
% [imagePoints, boardSize] = detectCheckerboardPoints(image_file_name);
% squareSize = 29;
% worldPoints = generateCheckerboardPoints(boardSize, squareSize);
%
% I = readimage(image, 1);
% imageSize = [size(I,1), size(I,2)];
% [params, ~, estimationErrors] = estimateCameraParameters(imagePoinsts, worldPoints, ‘ImageSize’);
[height, width] = size(image);
%disp(string(height) + " " + string(width))
%[newCameraMatrix,w] = cv.getOptimalNewCameraMatrix(cameraMatrix, dist, [width,height]);
[newcameramtx, roi] = cv.getOptimalNewCameraMatrix(camera_matrix, dist, [width,height], 0, [width,height]);
%dst = cv2.undistort(image, camera_matrix, dist, None, newcameramtx)

% imageFileNames{i} = fullfile(matlabroot,’toolbox’,’vision’,’visiondata’,’calibration’,’webcam’,image_file_name);
% [imagePoints,~,imagesUsed] = detectCheckerboardPoints(imageFileNames, ‘PartialDetections’, false);
% imageFileNames = imageFileNames(imagesUsed);
% for i = 1:numel(imageFileNames)
% I = imread(imageFileNames{i});
% subplot(2, 2, i);
% imshow(I);
% hold on;
% plot(imagePoints(:,1,i),imagePoints(:,2,i),’ro’);
% end

[mapx, mapy] = cv.initUndistortRectifyMap(camera_matrix, dist, None, newcameramtx, [width,height], 5);
dst = cv.remap(image, mapx, mapy, INTER_LINEAR);
x, y, w, h = roi;
dst = dst(y:y+h, x:x+w);
[height, width] = size(dst);
print(string(height) + " " + string(width));
imwrite("undistortion/" + file, dst);
end
end
end image processing, matlab MATLAB Answers — New Questions

​

Hi guys, I am new to ode45 so I am very confused about its results. I have good results when solving two coupled differential equations (say, x1 and y ), but when I add one more equation (say x2), then the results are very different and even if I set x2 equation the same as x1, which doesn’t make much sense for me. Here are the codes I used:

eq1 = diff(x1,2) == -2*gamma_ir*omega_ir1*dx1 – omega_ir1^2*x1 + y + 2*x2*y;
eq2 = diff(x2,2) == -2*gamma_ir*omega_ir2*dx2 – omega_ir2^2*x2 + y + 2*x1*y;
eq3 = diff(y,2) == -2*gamma_r*omega_r*dy – omega_r^2*y + x1*x2;
V = odeToVectorField(eq1,eq2,eq3);
M = matlabFunction(V,’vars’, {‘t’,’Y’});
interval = t0;
ySol = ode45(M,interval,y0);
tValues = linspace(interval(1),interval(2),tNum);
sol = deval(ySol,tValues,3);
Thanks in advance！Hi guys, I am new to ode45 so I am very confused about its results. I have good results when solving two coupled differential equations (say, x1 and y ), but when I add one more equation (say x2), then the results are very different and even if I set x2 equation the same as x1, which doesn’t make much sense for me. Here are the codes I used:

eq1 = diff(x1,2) == -2*gamma_ir*omega_ir1*dx1 – omega_ir1^2*x1 + y + 2*x2*y;
eq2 = diff(x2,2) == -2*gamma_ir*omega_ir2*dx2 – omega_ir2^2*x2 + y + 2*x1*y;
eq3 = diff(y,2) == -2*gamma_r*omega_r*dy – omega_r^2*y + x1*x2;
V = odeToVectorField(eq1,eq2,eq3);
M = matlabFunction(V,’vars’, {‘t’,’Y’});
interval = t0;
ySol = ode45(M,interval,y0);
tValues = linspace(interval(1),interval(2),tNum);
sol = deval(ySol,tValues,3);
Thanks in advance！ Hi guys, I am new to ode45 so I am very confused about its results. I have good results when solving two coupled differential equations (say, x1 and y ), but when I add one more equation (say x2), then the results are very different and even if I set x2 equation the same as x1, which doesn’t make much sense for me. Here are the codes I used:

eq1 = diff(x1,2) == -2*gamma_ir*omega_ir1*dx1 – omega_ir1^2*x1 + y + 2*x2*y;
eq2 = diff(x2,2) == -2*gamma_ir*omega_ir2*dx2 – omega_ir2^2*x2 + y + 2*x1*y;
eq3 = diff(y,2) == -2*gamma_r*omega_r*dy – omega_r^2*y + x1*x2;
V = odeToVectorField(eq1,eq2,eq3);
M = matlabFunction(V,’vars’, {‘t’,’Y’});
interval = t0;
ySol = ode45(M,interval,y0);
tValues = linspace(interval(1),interval(2),tNum);
sol = deval(ySol,tValues,3);
Thanks in advance！ differential equations, ode45 MATLAB Answers — New Questions

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Hello, I am trying to plot boxplot.
x = [1 2 3 4 5];
y = [1.13465 1.17166 1.19973 1.78338 1.83673
3.96e-12 3.6e-11 0.109991 1.0131 1.57166
0.574522 0.619429 0.685391 1.21099 1.73831
1.27e-11 0.142583 0.308049 0.890379 1.38142
3.5e-12 0.0606085 0.137094 0.565742 0.915032
1.77e-11 0.0206984 0.096124 0.213596 0.548369
0.343735 0.358206 0.386193 1.04343 1.80219
0.342868 0.333045 0.341806 0.760036 1.41684
0.423389 0.412866 0.415499 0.569211 0.564488
4e-12 3.67e-11 0.109991 1.0131 1.57166
0.692851 0.696025 0.704127 1.30321 1.88094
5.5e-11 0.0395349 0.180155 0.639514 1.04088];
boxplot(x,y)

this is the code that I used,
but when I tried to plot, it said
‘The function ‘boxplot’ is not defined for inputs of type ‘double’.
Error occurred: untitled (line 22) boxplot(x,y)’

Can anyone help me to solve the problem?
Thank you!Hello, I am trying to plot boxplot.
x = [1 2 3 4 5];
y = [1.13465 1.17166 1.19973 1.78338 1.83673
3.96e-12 3.6e-11 0.109991 1.0131 1.57166
0.574522 0.619429 0.685391 1.21099 1.73831
1.27e-11 0.142583 0.308049 0.890379 1.38142
3.5e-12 0.0606085 0.137094 0.565742 0.915032
1.77e-11 0.0206984 0.096124 0.213596 0.548369
0.343735 0.358206 0.386193 1.04343 1.80219
0.342868 0.333045 0.341806 0.760036 1.41684
0.423389 0.412866 0.415499 0.569211 0.564488
4e-12 3.67e-11 0.109991 1.0131 1.57166
0.692851 0.696025 0.704127 1.30321 1.88094
5.5e-11 0.0395349 0.180155 0.639514 1.04088];
boxplot(x,y)

this is the code that I used,
but when I tried to plot, it said
‘The function ‘boxplot’ is not defined for inputs of type ‘double’.
Error occurred: untitled (line 22) boxplot(x,y)’

Can anyone help me to solve the problem?
Thank you! Hello, I am trying to plot boxplot.
x = [1 2 3 4 5];
y = [1.13465 1.17166 1.19973 1.78338 1.83673
3.96e-12 3.6e-11 0.109991 1.0131 1.57166
0.574522 0.619429 0.685391 1.21099 1.73831
1.27e-11 0.142583 0.308049 0.890379 1.38142
3.5e-12 0.0606085 0.137094 0.565742 0.915032
1.77e-11 0.0206984 0.096124 0.213596 0.548369
0.343735 0.358206 0.386193 1.04343 1.80219
0.342868 0.333045 0.341806 0.760036 1.41684
0.423389 0.412866 0.415499 0.569211 0.564488
4e-12 3.67e-11 0.109991 1.0131 1.57166
0.692851 0.696025 0.704127 1.30321 1.88094
5.5e-11 0.0395349 0.180155 0.639514 1.04088];
boxplot(x,y)

this is the code that I used,
but when I tried to plot, it said
‘The function ‘boxplot’ is not defined for inputs of type ‘double’.
Error occurred: untitled (line 22) boxplot(x,y)’

Can anyone help me to solve the problem?
Thank you! boxplot, typedouble MATLAB Answers — New Questions

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