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Separate data to plot as multiple lines

/ 2024-08-23

It has been a while since I have touched matlab, and as such I can’t quite figure out how to solve this issue. Essentially, I have data being created to monitor a device. This data is in an excel sheet, and I have imported that excel sheet into matlab. The table is then parsed to only include certain data for creation of each plot. My problem is when plotting the table, which has multiple runs included. An example of such I will be including below:
run time var1
0 0 0
0 1 1
0 2 …
1 3 …
1 4 …
2 5 …
3 6 50
My question is how would I split this data so that I can plot each run as a seperate line on the same graph? So in this case, it would be a line plot showing the 4 runs (0-3) as separate lines, comparing time to the change in the variables. Thank you.It has been a while since I have touched matlab, and as such I can’t quite figure out how to solve this issue. Essentially, I have data being created to monitor a device. This data is in an excel sheet, and I have imported that excel sheet into matlab. The table is then parsed to only include certain data for creation of each plot. My problem is when plotting the table, which has multiple runs included. An example of such I will be including below:
run time var1
0 0 0
0 1 1
0 2 …
1 3 …
1 4 …
2 5 …
3 6 50
My question is how would I split this data so that I can plot each run as a seperate line on the same graph? So in this case, it would be a line plot showing the 4 runs (0-3) as separate lines, comparing time to the change in the variables. Thank you. It has been a while since I have touched matlab, and as such I can’t quite figure out how to solve this issue. Essentially, I have data being created to monitor a device. This data is in an excel sheet, and I have imported that excel sheet into matlab. The table is then parsed to only include certain data for creation of each plot. My problem is when plotting the table, which has multiple runs included. An example of such I will be including below:
run time var1
0 0 0
0 1 1
0 2 …
1 3 …
1 4 …
2 5 …
3 6 50
My question is how would I split this data so that I can plot each run as a seperate line on the same graph? So in this case, it would be a line plot showing the 4 runs (0-3) as separate lines, comparing time to the change in the variables. Thank you. plot, table MATLAB Answers — New Questions

Matlab

IVI connection to Rigol DMM

/ 2024-08-23

Hi All… I have been attempting to connect a Rigol DM3068 DMM to Matlab. The driver from the manufacturer has been installed. I have spent many hours going down a rabbit hole of pages that links to more links, along with processes that leads to depreciated functions and errors. Below shows the current state of my attempts.
I’m now rather confused on the actual process. It would be ideal to find an example of how to generate the wrapper and link the driver to Matlab with current functions.

>> instrhwinfo
ans =
HardwareInfo with properties:
MATLABVersion: ‘9.14 (R2023a)’
SupportedInterfaces: {‘gpib’ ‘serial’ ‘serialport’ ‘tcpip’ ‘udp’ ‘visa’ ‘Bluetooth’ ‘i2c’ ‘spi’}
SupportedDrivers: {‘matlab’ ‘ivi’ ‘vxipnp’}
ToolboxName: ‘Instrument Control Toolbox’
ToolboxVersion: ‘4.8 (R2023a)’

>> ividriverlist
ans =
1×4 table
VendorDriver MATLABDriver IVIClass SupportedModels
____________ ____________ ________ _______________
1 "rgdm3068" "" "IVIDmm" {["DM3068"]}

>> configStore = iviconfigurationstore;
>> add(configStore,"HardwareAsset","myDMMHWAsset2","TCPIP0::192.168.1.120::INSTR");
>> add(configStore,"DriverSession","myDMMSession2","rgdm3068","myDMMHWAsset2");
>> add(configStore,"LogicalName","myDMM2","myDMMSession2");
>> commit(configStore);
>> dev = ividev("IviDMM2","myDMM2");
No ividev MATLAB drivers found for your hardware.

>> instrhwinfo(‘ivi’)
ans =
HardwareInfo with properties:
LogicalNames: {‘myDMM’ ‘myDMM2’}
Modules: {1×13 cell}
ConfigurationServerVersion: ‘1.7.0.12115’
ConfigurationStoreLocation: ‘C:ProgramDataIVI FoundationIVIIviConfigurationStore.xml’
IVIRootPath: ‘C:Program FilesIVI FoundationIVI’Hi All… I have been attempting to connect a Rigol DM3068 DMM to Matlab. The driver from the manufacturer has been installed. I have spent many hours going down a rabbit hole of pages that links to more links, along with processes that leads to depreciated functions and errors. Below shows the current state of my attempts.
I’m now rather confused on the actual process. It would be ideal to find an example of how to generate the wrapper and link the driver to Matlab with current functions.

>> ividriverlist
ans =
1×4 table
VendorDriver MATLABDriver IVIClass SupportedModels
____________ ____________ ________ _______________
1 "rgdm3068" "" "IVIDmm" {["DM3068"]}

>> instrhwinfo(‘ivi’)
ans =
HardwareInfo with properties:
LogicalNames: {‘myDMM’ ‘myDMM2’}
Modules: {1×13 cell}
ConfigurationServerVersion: ‘1.7.0.12115’
ConfigurationStoreLocation: ‘C:ProgramDataIVI FoundationIVIIviConfigurationStore.xml’
IVIRootPath: ‘C:Program FilesIVI FoundationIVI’ Hi All… I have been attempting to connect a Rigol DM3068 DMM to Matlab. The driver from the manufacturer has been installed. I have spent many hours going down a rabbit hole of pages that links to more links, along with processes that leads to depreciated functions and errors. Below shows the current state of my attempts.
I’m now rather confused on the actual process. It would be ideal to find an example of how to generate the wrapper and link the driver to Matlab with current functions.

>> ividriverlist
ans =
1×4 table
VendorDriver MATLABDriver IVIClass SupportedModels
____________ ____________ ________ _______________
1 "rgdm3068" "" "IVIDmm" {["DM3068"]}

Matlab

converting string to num and table

/ 2024-08-23

I have a table containing string data that represents cyclone certain and uncertain tracks. Each cell in the table may contain multiple track numbers (seperated by a space), where the presence of ‘x’ beside a number indicates uncertainty in that track. For example, in tempData(7,1) = "30 25x", ’30’ is a certain track, and ’25’ is uncertain.
I need to write a code that parses each cell in a column of tempData, separates the track numbers and their uncertainty markers (‘x’), and outputs a (in this case) 4-column table for each column in tempData. The headers of the output table should be track1, uncert1, track2, uncert2, corresponding to the parsed tracks and their certainty indicators (marked by 0 or 1). If the input has 3 tracks, the then output table should have a 6 column table
Finally, I want to store each output table in a cell array marked by the varname of the input column (y98, y99, y20, etc), as I need to process over 200 columns in my original data.
I have attached a sample input (tempData) and output for the first coumn that i want (tempDataOut).

Thanks in advance.I have a table containing string data that represents cyclone certain and uncertain tracks. Each cell in the table may contain multiple track numbers (seperated by a space), where the presence of ‘x’ beside a number indicates uncertainty in that track. For example, in tempData(7,1) = "30 25x", ’30’ is a certain track, and ’25’ is uncertain.
I need to write a code that parses each cell in a column of tempData, separates the track numbers and their uncertainty markers (‘x’), and outputs a (in this case) 4-column table for each column in tempData. The headers of the output table should be track1, uncert1, track2, uncert2, corresponding to the parsed tracks and their certainty indicators (marked by 0 or 1). If the input has 3 tracks, the then output table should have a 6 column table
Finally, I want to store each output table in a cell array marked by the varname of the input column (y98, y99, y20, etc), as I need to process over 200 columns in my original data.
I have attached a sample input (tempData) and output for the first coumn that i want (tempDataOut).

Thanks in advance. I have a table containing string data that represents cyclone certain and uncertain tracks. Each cell in the table may contain multiple track numbers (seperated by a space), where the presence of ‘x’ beside a number indicates uncertainty in that track. For example, in tempData(7,1) = "30 25x", ’30’ is a certain track, and ’25’ is uncertain.
I need to write a code that parses each cell in a column of tempData, separates the track numbers and their uncertainty markers (‘x’), and outputs a (in this case) 4-column table for each column in tempData. The headers of the output table should be track1, uncert1, track2, uncert2, corresponding to the parsed tracks and their certainty indicators (marked by 0 or 1). If the input has 3 tracks, the then output table should have a 6 column table
Finally, I want to store each output table in a cell array marked by the varname of the input column (y98, y99, y20, etc), as I need to process over 200 columns in my original data.
I have attached a sample input (tempData) and output for the first coumn that i want (tempDataOut).

Thanks in advance. data process MATLAB Answers — New Questions

Matlab

Can I generate code for STM32H7 Boards using the Embedded Coder Support Package?

/ 2024-08-23

Does MathWorks offer Support Packages for generating code using Embedded Coder for STM32H7 Boards?Does MathWorks offer Support Packages for generating code using Embedded Coder for STM32H7 Boards? Does MathWorks offer Support Packages for generating code using Embedded Coder for STM32H7 Boards? embedded, coder, stm32h7, stm32, stmicroelectronics MATLAB Answers — New Questions

Matlab

plot magnitude data at location (x,y,z)

/ 2024-08-23

I can’t figure out how to plot magnitudes of a variable at different (x,y,z) locations. In effect, I need to plot a 4D plot, (x,y,z,value). I thought I’d be able to do a 3D plot and set the 4D as color scale or something like that, but I can’t figure how to do that.
Perhaps I’m over thinking this….but, I’d appreciate any help.
Thanks!
JorgeI can’t figure out how to plot magnitudes of a variable at different (x,y,z) locations. In effect, I need to plot a 4D plot, (x,y,z,value). I thought I’d be able to do a 3D plot and set the 4D as color scale or something like that, but I can’t figure how to do that.
Perhaps I’m over thinking this….but, I’d appreciate any help.
Thanks!
Jorge I can’t figure out how to plot magnitudes of a variable at different (x,y,z) locations. In effect, I need to plot a 4D plot, (x,y,z,value). I thought I’d be able to do a 3D plot and set the 4D as color scale or something like that, but I can’t figure how to do that.
Perhaps I’m over thinking this….but, I’d appreciate any help.
Thanks!
Jorge plotting, 3d plots MATLAB Answers — New Questions

Matlab

Why do the results returned by calling the “simulate” function with a “creditDefaultCopula” object vary based on the order of the rows in the input data?

/ 2024-08-23

When using "creditDefaultCopula" from Risk Management Toolbox, why are simulation results different when the rows of the data input are in different order even with the same random seed for all simulations?When using "creditDefaultCopula" from Risk Management Toolbox, why are simulation results different when the rows of the data input are in different order even with the same random seed for all simulations? When using "creditDefaultCopula" from Risk Management Toolbox, why are simulation results different when the rows of the data input are in different order even with the same random seed for all simulations? creditdefaultcopula, simulation MATLAB Answers — New Questions

Matlab

Failed Code generation information file doesnt exist.

/ 2024-08-23

Post Content Post Content code generation MATLAB Answers — New Questions

Matlab

I need help on superimposition of plot.

/ 2024-08-23

Hi guys, so I took two sets of data of knee extension using two types of sensor which is IMU MPU 6050 and Biopac mechanomyography (MMG), we took it in a same period of time but when it comes to us saving the data, the data we obtain for both plot has different x-axis range. Can anyone please explain and teach me how to do it I would be very appreciate and thank you very muchHi guys, so I took two sets of data of knee extension using two types of sensor which is IMU MPU 6050 and Biopac mechanomyography (MMG), we took it in a same period of time but when it comes to us saving the data, the data we obtain for both plot has different x-axis range. Can anyone please explain and teach me how to do it I would be very appreciate and thank you very much Hi guys, so I took two sets of data of knee extension using two types of sensor which is IMU MPU 6050 and Biopac mechanomyography (MMG), we took it in a same period of time but when it comes to us saving the data, the data we obtain for both plot has different x-axis range. Can anyone please explain and teach me how to do it I would be very appreciate and thank you very much transferred MATLAB Answers — New Questions

Matlab

What is the difference between the ways of Predict and PredictAndUpdateState to update the network?

/ 2024-08-23

Hi All,
I am testing a trained LSTM network to finish the prediction task. I have used prerdict() and PredicAndUpdateState() to do the prediction respectively. The codes for both ways are as follows respectively:
(1). Using predict ()
YTest=predict(trainedNet,XTest); % XTest is the complete test data, which is a numeric array with the size of [16 x 272].
(2). Using PredictAndUpdateState()
for i=1:size(XTest,2)
Xt=XTest(:,i); % One coloum of XTest is extracted as the inputs of this timestep.
[trainedNet,YTest(:,i)]=PredictAndUpdateState(trainedNet,Xt); % Use the inputs of this timestep to predict the outputs, and update the network.
end
The test performance of using PredictAndUpdateState() is much worse than using predict(). But I have heard that both predict() and PredictAndUpdateState() will update the state of the network between each prediction. So, I wonder why the performances of those two functions are so different, and what is the difference between the ways of predict() and PredictAndUpdateState() to update networks.
Any help will be appredicted. Thank you so much!Hi All,
I am testing a trained LSTM network to finish the prediction task. I have used prerdict() and PredicAndUpdateState() to do the prediction respectively. The codes for both ways are as follows respectively:
(1). Using predict ()
YTest=predict(trainedNet,XTest); % XTest is the complete test data, which is a numeric array with the size of [16 x 272].
(2). Using PredictAndUpdateState()
for i=1:size(XTest,2)
Xt=XTest(:,i); % One coloum of XTest is extracted as the inputs of this timestep.
[trainedNet,YTest(:,i)]=PredictAndUpdateState(trainedNet,Xt); % Use the inputs of this timestep to predict the outputs, and update the network.
end
The test performance of using PredictAndUpdateState() is much worse than using predict(). But I have heard that both predict() and PredictAndUpdateState() will update the state of the network between each prediction. So, I wonder why the performances of those two functions are so different, and what is the difference between the ways of predict() and PredictAndUpdateState() to update networks.
Any help will be appredicted. Thank you so much! Hi All,
I am testing a trained LSTM network to finish the prediction task. I have used prerdict() and PredicAndUpdateState() to do the prediction respectively. The codes for both ways are as follows respectively:
(1). Using predict ()
YTest=predict(trainedNet,XTest); % XTest is the complete test data, which is a numeric array with the size of [16 x 272].
(2). Using PredictAndUpdateState()
for i=1:size(XTest,2)
Xt=XTest(:,i); % One coloum of XTest is extracted as the inputs of this timestep.
[trainedNet,YTest(:,i)]=PredictAndUpdateState(trainedNet,Xt); % Use the inputs of this timestep to predict the outputs, and update the network.
end
The test performance of using PredictAndUpdateState() is much worse than using predict(). But I have heard that both predict() and PredictAndUpdateState() will update the state of the network between each prediction. So, I wonder why the performances of those two functions are so different, and what is the difference between the ways of predict() and PredictAndUpdateState() to update networks.
Any help will be appredicted. Thank you so much! lstm, predict, predictandupdatestate, prediction, deep learning MATLAB Answers — New Questions

Matlab

Issues with looping in structure: variable in the name

/ 2024-08-23

I am loading one Excel spreadsheet with 11 tabs. The 11 tabs are named fl1, fl2,… fl11.
The spreadsheet is currently loaded into a structure named flight_data. I don’t like the way it is organized, so I want to create a 11 new structures: somename1, somename2,….somename11.
I think the code will show how I’m trying to structure my data. The goal is to have 11 strutures that look like this:
%my loop that doesn’t work

for i = 1:11
fpro(i).loc7.x = flight_data.fpro{i}(:,1)
end

%my structure setup
fpro(i).name = ‘Flight Profile {i}’;

fpro(i).loc7.x = flight_data.fl{i}(:,1)
fpro(i).loc9.x = flight_data.fl{i}(:,4)
fpro(i).loc10.x = flight_data.fl{i}(:,7)

fpro(i).loc7.y = flight_data.fl{i}(:,2)
fpro(i).loc9.y = flight_data.fl{i}(:,5)
fpro(i).loc10.y = flight_data.fl{i}(:,8)

fpro(i).loc7.z = flight_data.fl{i}(:,3)
fpro(i).loc9.z = flight_data.fl{i}(:,6)
fpro(i).loc10.z = flight_data.fl{i}(:,9)I am loading one Excel spreadsheet with 11 tabs. The 11 tabs are named fl1, fl2,… fl11.
The spreadsheet is currently loaded into a structure named flight_data. I don’t like the way it is organized, so I want to create a 11 new structures: somename1, somename2,….somename11.
I think the code will show how I’m trying to structure my data. The goal is to have 11 strutures that look like this:
%my loop that doesn’t work

for i = 1:11
fpro(i).loc7.x = flight_data.fpro{i}(:,1)
end

%my structure setup
fpro(i).name = ‘Flight Profile {i}’;

fpro(i).loc7.x = flight_data.fl{i}(:,1)
fpro(i).loc9.x = flight_data.fl{i}(:,4)
fpro(i).loc10.x = flight_data.fl{i}(:,7)

fpro(i).loc7.y = flight_data.fl{i}(:,2)
fpro(i).loc9.y = flight_data.fl{i}(:,5)
fpro(i).loc10.y = flight_data.fl{i}(:,8)

fpro(i).loc7.z = flight_data.fl{i}(:,3)
fpro(i).loc9.z = flight_data.fl{i}(:,6)
fpro(i).loc10.z = flight_data.fl{i}(:,9) I am loading one Excel spreadsheet with 11 tabs. The 11 tabs are named fl1, fl2,… fl11.
The spreadsheet is currently loaded into a structure named flight_data. I don’t like the way it is organized, so I want to create a 11 new structures: somename1, somename2,….somename11.
I think the code will show how I’m trying to structure my data. The goal is to have 11 strutures that look like this:
%my loop that doesn’t work

for i = 1:11
fpro(i).loc7.x = flight_data.fpro{i}(:,1)
end

%my structure setup
fpro(i).name = ‘Flight Profile {i}’;

fpro(i).loc7.x = flight_data.fl{i}(:,1)
fpro(i).loc9.x = flight_data.fl{i}(:,4)
fpro(i).loc10.x = flight_data.fl{i}(:,7)

fpro(i).loc7.y = flight_data.fl{i}(:,2)
fpro(i).loc9.y = flight_data.fl{i}(:,5)
fpro(i).loc10.y = flight_data.fl{i}(:,8)

fpro(i).loc7.z = flight_data.fl{i}(:,3)
fpro(i).loc9.z = flight_data.fl{i}(:,6)
fpro(i).loc10.z = flight_data.fl{i}(:,9) for, structures, sytax MATLAB Answers — New Questions

Matlab

Getting error message when running Runge Kutta solution…

/ 2024-08-23

The code that produces the errors is below:
clc;
mass = 13.5;
Jx = 0.8244;
Jy = 1.135;
Jz = 1.759;
Jxz = 0.1204;
G = Jx*Jz-Jxz^2;
G1 = Jxz*(Jx – Jy + Jz)/G;
G2 = (Jz*(Jz-Jy)+Jxz^2)/G;
G3 = Jz/G;
G4 = Jxz/G;
G5 = (Jz-Jx)/Jy;
G6 = Jxz/Jy;
G7 = ((Jx-Jy)*Jx +Jxz^2)/G;
G8 = (Jx/G);
p = 0;
q = 0;
r = 0;
l = 0.0000;
m = 0.0000;
n = 0.0000;
tspan = [0 10];
%[t,q] = ode45(@(t,q) (G5*p*r-G6*(p^2-r^2)+m/Jy), tspan,0);
%plot(t,q);
%pdot = (G1*p*q-G2*q*r + G3*l+G4*n);
[t,p]=ode45(@(t,p) (G1*p*q – G2*q*r + G3*l + G4*n),[0 10], 0.1);
plot(t,p,’–r’);
disp(p);
disp(t);
[t,q] = ode45(@(t,r) (G5*p*r – G6*p*p – G6*r*r + m/Jy), [0 10],0);
plot(t,q,’–g’);
[t,r] = ode45(@(t,r) (G7*p*q – G1*q*r + G4*l + G8*n), [0 10],0);
plot(t,r,’–b’)

The output with the error messages follows:

0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000
0.1000

0
0.2500
0.5000
0.7500
1.0000
1.2500
1.5000
1.7500
2.0000
2.2500
2.5000
2.7500
3.0000
3.2500
3.5000
3.7500
4.0000
4.2500
4.5000
4.7500
5.0000
5.2500
5.5000
5.7500
6.0000
6.2500
6.5000
6.7500
7.0000
7.2500
7.5000
7.7500
8.0000
8.2500
8.5000
8.7500
9.0000
9.2500
9.5000
9.7500
10.0000

Error using *
Incorrect dimensions for matrix multiplication. Check that the number of columns in the first matrix matches the number of rows in the second matrix. To
perform elementwise multiplication, use ‘.*’.

Error in test>@(t,r)(G5*p*r-G6*p*p-G6*r*r+m/Jy) (line 30)
[t,q] = ode45(@(t,r) (G5*p*r – G6*p*p – G6*r*r + m/Jy), [0 10],0);

Error in odearguments (line 90)
f0 = feval(ode,t0,y0,args{:}); % ODE15I sets args{1} to yp0.

Error in ode45 (line 115)
odearguments(FcnHandlesUsed, solver_name, ode, tspan, y0, options, varargin);

Error in test (line 30)
[t,q] = ode45(@(t,r) (G5*p*r – G6*p*p – G6*r*r + m/Jy), [0 10],0);The code that produces the errors is below:
clc;
mass = 13.5;
Jx = 0.8244;
Jy = 1.135;
Jz = 1.759;
Jxz = 0.1204;
G = Jx*Jz-Jxz^2;
G1 = Jxz*(Jx – Jy + Jz)/G;
G2 = (Jz*(Jz-Jy)+Jxz^2)/G;
G3 = Jz/G;
G4 = Jxz/G;
G5 = (Jz-Jx)/Jy;
G6 = Jxz/Jy;
G7 = ((Jx-Jy)*Jx +Jxz^2)/G;
G8 = (Jx/G);
p = 0;
q = 0;
r = 0;
l = 0.0000;
m = 0.0000;
n = 0.0000;
tspan = [0 10];
%[t,q] = ode45(@(t,q) (G5*p*r-G6*(p^2-r^2)+m/Jy), tspan,0);
%plot(t,q);
%pdot = (G1*p*q-G2*q*r + G3*l+G4*n);
[t,p]=ode45(@(t,p) (G1*p*q – G2*q*r + G3*l + G4*n),[0 10], 0.1);
plot(t,p,’–r’);
disp(p);
disp(t);
[t,q] = ode45(@(t,r) (G5*p*r – G6*p*p – G6*r*r + m/Jy), [0 10],0);
plot(t,q,’–g’);
[t,r] = ode45(@(t,r) (G7*p*q – G1*q*r + G4*l + G8*n), [0 10],0);
plot(t,r,’–b’)

The output with the error messages follows:

Error in test>@(t,r)(G5*p*r-G6*p*p-G6*r*r+m/Jy) (line 30)
[t,q] = ode45(@(t,r) (G5*p*r – G6*p*p – G6*r*r + m/Jy), [0 10],0);

Error in odearguments (line 90)
f0 = feval(ode,t0,y0,args{:}); % ODE15I sets args{1} to yp0.

Error in ode45 (line 115)
odearguments(FcnHandlesUsed, solver_name, ode, tspan, y0, options, varargin);

Error in test (line 30)
[t,q] = ode45(@(t,r) (G5*p*r – G6*p*p – G6*r*r + m/Jy), [0 10],0); The code that produces the errors is below:
clc;
mass = 13.5;
Jx = 0.8244;
Jy = 1.135;
Jz = 1.759;
Jxz = 0.1204;
G = Jx*Jz-Jxz^2;
G1 = Jxz*(Jx – Jy + Jz)/G;
G2 = (Jz*(Jz-Jy)+Jxz^2)/G;
G3 = Jz/G;
G4 = Jxz/G;
G5 = (Jz-Jx)/Jy;
G6 = Jxz/Jy;
G7 = ((Jx-Jy)*Jx +Jxz^2)/G;
G8 = (Jx/G);
p = 0;
q = 0;
r = 0;
l = 0.0000;
m = 0.0000;
n = 0.0000;
tspan = [0 10];
%[t,q] = ode45(@(t,q) (G5*p*r-G6*(p^2-r^2)+m/Jy), tspan,0);
%plot(t,q);
%pdot = (G1*p*q-G2*q*r + G3*l+G4*n);
[t,p]=ode45(@(t,p) (G1*p*q – G2*q*r + G3*l + G4*n),[0 10], 0.1);
plot(t,p,’–r’);
disp(p);
disp(t);
[t,q] = ode45(@(t,r) (G5*p*r – G6*p*p – G6*r*r + m/Jy), [0 10],0);
plot(t,q,’–g’);
[t,r] = ode45(@(t,r) (G7*p*q – G1*q*r + G4*l + G8*n), [0 10],0);
plot(t,r,’–b’)

The output with the error messages follows:

Error in test>@(t,r)(G5*p*r-G6*p*p-G6*r*r+m/Jy) (line 30)
[t,q] = ode45(@(t,r) (G5*p*r – G6*p*p – G6*r*r + m/Jy), [0 10],0);

Error in odearguments (line 90)
f0 = feval(ode,t0,y0,args{:}); % ODE15I sets args{1} to yp0.

Error in ode45 (line 115)
odearguments(FcnHandlesUsed, solver_name, ode, tspan, y0, options, varargin);

Error in test (line 30)
[t,q] = ode45(@(t,r) (G5*p*r – G6*p*p – G6*r*r + m/Jy), [0 10],0); runge kutta 4, errors MATLAB Answers — New Questions

Matlab

Why does MATLAB crash on Linux with “Inconsistency detected by ld.so: ../elf/dl-tls.c: 597: _dl_allocate_tls_init:”

/ 2024-08-23

When I run MATLAB R2021b on my Linux machine, it occasionally crashes. The following error message appears in the terminal or at the top of the resulting crash stack trace:

Inconsistency detected by ld.so: ../elf/dl-tls.c: 597: _dl_allocate_tls_init: Assertion `listp != NULL’ failed!
This crash primarily happens when I attempt to use Simulink for the first time after launching MATLAB.When I run MATLAB R2021b on my Linux machine, it occasionally crashes. The following error message appears in the terminal or at the top of the resulting crash stack trace:

Inconsistency detected by ld.so: ../elf/dl-tls.c: 597: _dl_allocate_tls_init: Assertion `listp != NULL’ failed!
This crash primarily happens when I attempt to use Simulink for the first time after launching MATLAB. When I run MATLAB R2021b on my Linux machine, it occasionally crashes. The following error message appears in the terminal or at the top of the resulting crash stack trace:

Inconsistency detected by ld.so: ../elf/dl-tls.c: 597: _dl_allocate_tls_init: Assertion `listp != NULL’ failed!
This crash primarily happens when I attempt to use Simulink for the first time after launching MATLAB. crash, libc, linux, glibc MATLAB Answers — New Questions

Matlab

too many open files even after adding fclose within my for loop

/ 2024-08-23

As the title says, I am receiving an error saying I have too many open files. I did look into it (via MatlabCentral) and attempted to fix it by adding ‘fclose’ after each ‘fopen.’ I am adding my for loop below. I included the first line of my code (readmatrix), but did not include the lines defining the variables because there are too many. What am I doing wrong here?

Thanks.

m=readmatrix(‘vertebrae_points_idno.xlsx’);

%%did not include lines defining my variables%%

for i=1:length(m)
for j=1:length(m(:,1))
conversion=conversion_array(j);

%combines variables into matrices for saving and printing.
[c1,c2,c3,c4,c5,c6,c7]=matrix_combine(c1x(i,:),c1y(i,:),c2x(i,:),c2y(i,:),c3x(i,:),c3y(i,:),c4x(i,:),c4y(i,:),c5x(i,:),c5y(i,:),c6x(i,:),c6y(i,:),c7x(i,:),c7y(i,:));

%calculate centroids.
[c2_centroid,c3_centroid,c4_centroid,c5_centroid,c6_centroid,c7_centroid]=get_centroids(c2,c3,c4,c5,c6,c7);

%generate "ideal" arc
[line_x,line_y,x,y,C]=generate_arc(c2,c3,c4,c5,c6,c7);

%transpose for CircleFit
arc_xy=[line_x.’ line_y.’];

%gather points of circle from vertebral points
Par=CircleFit(arc_xy);

%generate actual arc and plot
[x2,y2,true_lord_angle]=generate_second_arc(c2,c7,Par);

%calculate distance between two arcs
[converted_curve_dist,converted_max_curve_dist]=get_curve_distance(x,y,x2,y2,conversion);

%calculates extension angles
[c1_c7_angle,c2_c7_angle,c2c3_tangent,c3c4_tangent,c4c5_tangent,c5c6_tangent,c6c7_tangent]=rotation_angles(line_x,line_y,c1,c2,c3,c4,c5,c6,c7);

%closes image so the program can create another image with centroids.
close all

%calculates SVA, determines type of kyphosis, plots centroids and C2-C7 centroid line.
[kyphosis_type,sva_axis]=kyphosis_sva_new(c7,c2_centroid,c3_centroid,c4_centroid,c5_centroid,c6_centroid,c7_centroid, conversion);

spine_data=[converted_curve_dist,converted_max_curve_dist,sva_axis,true_lord_angle,c1_c7_angle,c2_c7_angle];

opening_name=’spine_xray_data.txt’;
opening_name2=’translation_angles.txt’;

fid=fopen(opening_name,’w’);
fprintf(fid,’n %10ft %10.2ft %10.2ft %10.2ft %10.2ft %10.2ft %10.2ft %10st %10.4f’,…
sub_id, spine_data,kyphosis_type,conversion);
fclose(fid);

fid2=fopen(opening_name2,’w’);
fprintf(fid2,’n %10.4ft %10.4ft %10.4ft %10.4ft %10.4f’,…
c2c3_tangent,c3c4_tangent,c4c5_tangent,c5c6_tangent,c6c7_tangent);
fclose(fid2);
end
endAs the title says, I am receiving an error saying I have too many open files. I did look into it (via MatlabCentral) and attempted to fix it by adding ‘fclose’ after each ‘fopen.’ I am adding my for loop below. I included the first line of my code (readmatrix), but did not include the lines defining the variables because there are too many. What am I doing wrong here?