Category: News
How to process the data that have same row name
Hello. Currently I am doing a testing codes. But then, I found a loop problem which is too challenging for me since I am already facing it more than ten times (I am still a newbie). Below is my coding. My goals is to process the raw data and extract the features as stated in the code. Basically the problem that I am facing is that:
Error using tabular/vertcat Duplicate table row name: ‘2004.03.15.12.0’.
Error in Third_Test (line 55) Time_feature_matrix1 = [Time_feature_matrix1; df];
The file is too big so with that I share my link to GDrive: https://drive.google.com/drive/folders/1MltnJyAUh1BJpoPdNpqOUiHfhdbGF4wV?usp=drive_link
Here the Code:
% Initialize empty tables for each bearing
Time_feature_matrix1 = table();
Time_feature_matrix2 = table();
Time_feature_matrix3 = table();
Time_feature_matrix4 = table();
% Specify the test set and bearing numbers
test_set = 3;
bearing_numbers = [1, 2, 3, 4];
% Set the path to the directory containing the data files
path = ‘file directory’;
% Get list of files in the directory
files = dir(fullfile(path, ‘*’));
% Loop through the files in the directory
for j = 1:length(files)
filename = files(j).name;
if files(j).isdir % Skip directories
continue;
end
file_path = fullfile(path, filename); % Full path of the file
dataset = readtable(file_path, ‘Delimiter’, ‘t’, ‘FileType’, ‘text’); % Read the dataset
% Loop through each bearing number
for j = 1:length(bearing_numbers)
bearing_no = bearing_numbers(j);
% Extract the bearing data
bearing_data = dataset{:, bearing_no};
% Calculate features
feature_matrix = [
max(bearing_data), % Max
min(bearing_data), % Min
mean(bearing_data), % Mean
std(bearing_data, 1), % Std
sqrt(mean(bearing_data.^2)), % RMS
compute_skewness(bearing_data), % Skewness
compute_kurtosis(bearing_data), % Kurtosis
max(bearing_data) / sqrt(mean(bearing_data.^2)), % CrestFactor
sqrt(mean(bearing_data.^2)) / mean(bearing_data) % FormFactor
];
df = array2table(feature_matrix.’); % Transpose for correct orientation
df.Properties.VariableNames = {‘Max’, ‘Min’, ‘Mean’, ‘Std’, ‘RMS’, ‘Skewness’, ‘Kurtosis’, ‘CrestFactor’, ‘FormFactor’};
df.Properties.RowNames = {[filename(1:end-4)]}; % Append bearing number
df.Properties.RowNames = {rowName};
% Append the table to the corresponding bearing’s feature matrix
switch bearing_no
case 1
if ~ismember(rowName, Time_feature_matrix1.Properties.RowNames)
Time_feature_matrix1 = [Time_feature_matrix1; df];
end
case 2
if ~ismember(rowName, Time_feature_matrix2.Properties.RowNames)
Time_feature_matrix2 = [Time_feature_matrix2; df];
end
case 3
if ~ismember(rowName, Time_feature_matrix3.Properties.RowNames)
Time_feature_matrix3 = [Time_feature_matrix3; df];
end
case 4
if ~ismember(rowName, Time_feature_matrix4.Properties.RowNames)
Time_feature_matrix4 = [Time_feature_matrix4; df];
end
% case 1
% Time_feature_matrix1 = [Time_feature_matrix1; df];
% case 2
% Time_feature_matrix2 = [Time_feature_matrix2; df];
% case 3
% Time_feature_matrix3 = [Time_feature_matrix3; df];
% case 4
% Time_feature_matrix4 = [Time_feature_matrix4; df];
end
end
end
% Define function to compute skewness
function skewness = compute_skewness(x)
n = length(x);
third_moment = sum((x – mean(x)).^3) / n;
s_3 = std(x, 1)^3;
skewness = third_moment / s_3;
end
% Define function to compute kurtosis
function kurtosis = compute_kurtosis(x)
n = length(x);
fourth_moment = sum((x – mean(x)).^4) / n;
s_4 = std(x, 1)^4;
kurtosis = fourth_moment / s_4 – 3;
endHello. Currently I am doing a testing codes. But then, I found a loop problem which is too challenging for me since I am already facing it more than ten times (I am still a newbie). Below is my coding. My goals is to process the raw data and extract the features as stated in the code. Basically the problem that I am facing is that:
Error using tabular/vertcat Duplicate table row name: ‘2004.03.15.12.0’.
Error in Third_Test (line 55) Time_feature_matrix1 = [Time_feature_matrix1; df];
The file is too big so with that I share my link to GDrive: https://drive.google.com/drive/folders/1MltnJyAUh1BJpoPdNpqOUiHfhdbGF4wV?usp=drive_link
Here the Code:
% Initialize empty tables for each bearing
Time_feature_matrix1 = table();
Time_feature_matrix2 = table();
Time_feature_matrix3 = table();
Time_feature_matrix4 = table();
% Specify the test set and bearing numbers
test_set = 3;
bearing_numbers = [1, 2, 3, 4];
% Set the path to the directory containing the data files
path = ‘file directory’;
% Get list of files in the directory
files = dir(fullfile(path, ‘*’));
% Loop through the files in the directory
for j = 1:length(files)
filename = files(j).name;
if files(j).isdir % Skip directories
continue;
end
file_path = fullfile(path, filename); % Full path of the file
dataset = readtable(file_path, ‘Delimiter’, ‘t’, ‘FileType’, ‘text’); % Read the dataset
% Loop through each bearing number
for j = 1:length(bearing_numbers)
bearing_no = bearing_numbers(j);
% Extract the bearing data
bearing_data = dataset{:, bearing_no};
% Calculate features
feature_matrix = [
max(bearing_data), % Max
min(bearing_data), % Min
mean(bearing_data), % Mean
std(bearing_data, 1), % Std
sqrt(mean(bearing_data.^2)), % RMS
compute_skewness(bearing_data), % Skewness
compute_kurtosis(bearing_data), % Kurtosis
max(bearing_data) / sqrt(mean(bearing_data.^2)), % CrestFactor
sqrt(mean(bearing_data.^2)) / mean(bearing_data) % FormFactor
];
df = array2table(feature_matrix.’); % Transpose for correct orientation
df.Properties.VariableNames = {‘Max’, ‘Min’, ‘Mean’, ‘Std’, ‘RMS’, ‘Skewness’, ‘Kurtosis’, ‘CrestFactor’, ‘FormFactor’};
df.Properties.RowNames = {[filename(1:end-4)]}; % Append bearing number
df.Properties.RowNames = {rowName};
% Append the table to the corresponding bearing’s feature matrix
switch bearing_no
case 1
if ~ismember(rowName, Time_feature_matrix1.Properties.RowNames)
Time_feature_matrix1 = [Time_feature_matrix1; df];
end
case 2
if ~ismember(rowName, Time_feature_matrix2.Properties.RowNames)
Time_feature_matrix2 = [Time_feature_matrix2; df];
end
case 3
if ~ismember(rowName, Time_feature_matrix3.Properties.RowNames)
Time_feature_matrix3 = [Time_feature_matrix3; df];
end
case 4
if ~ismember(rowName, Time_feature_matrix4.Properties.RowNames)
Time_feature_matrix4 = [Time_feature_matrix4; df];
end
% case 1
% Time_feature_matrix1 = [Time_feature_matrix1; df];
% case 2
% Time_feature_matrix2 = [Time_feature_matrix2; df];
% case 3
% Time_feature_matrix3 = [Time_feature_matrix3; df];
% case 4
% Time_feature_matrix4 = [Time_feature_matrix4; df];
end
end
end
% Define function to compute skewness
function skewness = compute_skewness(x)
n = length(x);
third_moment = sum((x – mean(x)).^3) / n;
s_3 = std(x, 1)^3;
skewness = third_moment / s_3;
end
% Define function to compute kurtosis
function kurtosis = compute_kurtosis(x)
n = length(x);
fourth_moment = sum((x – mean(x)).^4) / n;
s_4 = std(x, 1)^4;
kurtosis = fourth_moment / s_4 – 3;
end Hello. Currently I am doing a testing codes. But then, I found a loop problem which is too challenging for me since I am already facing it more than ten times (I am still a newbie). Below is my coding. My goals is to process the raw data and extract the features as stated in the code. Basically the problem that I am facing is that:
Error using tabular/vertcat Duplicate table row name: ‘2004.03.15.12.0’.
Error in Third_Test (line 55) Time_feature_matrix1 = [Time_feature_matrix1; df];
The file is too big so with that I share my link to GDrive: https://drive.google.com/drive/folders/1MltnJyAUh1BJpoPdNpqOUiHfhdbGF4wV?usp=drive_link
Here the Code:
% Initialize empty tables for each bearing
Time_feature_matrix1 = table();
Time_feature_matrix2 = table();
Time_feature_matrix3 = table();
Time_feature_matrix4 = table();
% Specify the test set and bearing numbers
test_set = 3;
bearing_numbers = [1, 2, 3, 4];
% Set the path to the directory containing the data files
path = ‘file directory’;
% Get list of files in the directory
files = dir(fullfile(path, ‘*’));
% Loop through the files in the directory
for j = 1:length(files)
filename = files(j).name;
if files(j).isdir % Skip directories
continue;
end
file_path = fullfile(path, filename); % Full path of the file
dataset = readtable(file_path, ‘Delimiter’, ‘t’, ‘FileType’, ‘text’); % Read the dataset
% Loop through each bearing number
for j = 1:length(bearing_numbers)
bearing_no = bearing_numbers(j);
% Extract the bearing data
bearing_data = dataset{:, bearing_no};
% Calculate features
feature_matrix = [
max(bearing_data), % Max
min(bearing_data), % Min
mean(bearing_data), % Mean
std(bearing_data, 1), % Std
sqrt(mean(bearing_data.^2)), % RMS
compute_skewness(bearing_data), % Skewness
compute_kurtosis(bearing_data), % Kurtosis
max(bearing_data) / sqrt(mean(bearing_data.^2)), % CrestFactor
sqrt(mean(bearing_data.^2)) / mean(bearing_data) % FormFactor
];
df = array2table(feature_matrix.’); % Transpose for correct orientation
df.Properties.VariableNames = {‘Max’, ‘Min’, ‘Mean’, ‘Std’, ‘RMS’, ‘Skewness’, ‘Kurtosis’, ‘CrestFactor’, ‘FormFactor’};
df.Properties.RowNames = {[filename(1:end-4)]}; % Append bearing number
df.Properties.RowNames = {rowName};
% Append the table to the corresponding bearing’s feature matrix
switch bearing_no
case 1
if ~ismember(rowName, Time_feature_matrix1.Properties.RowNames)
Time_feature_matrix1 = [Time_feature_matrix1; df];
end
case 2
if ~ismember(rowName, Time_feature_matrix2.Properties.RowNames)
Time_feature_matrix2 = [Time_feature_matrix2; df];
end
case 3
if ~ismember(rowName, Time_feature_matrix3.Properties.RowNames)
Time_feature_matrix3 = [Time_feature_matrix3; df];
end
case 4
if ~ismember(rowName, Time_feature_matrix4.Properties.RowNames)
Time_feature_matrix4 = [Time_feature_matrix4; df];
end
% case 1
% Time_feature_matrix1 = [Time_feature_matrix1; df];
% case 2
% Time_feature_matrix2 = [Time_feature_matrix2; df];
% case 3
% Time_feature_matrix3 = [Time_feature_matrix3; df];
% case 4
% Time_feature_matrix4 = [Time_feature_matrix4; df];
end
end
end
% Define function to compute skewness
function skewness = compute_skewness(x)
n = length(x);
third_moment = sum((x – mean(x)).^3) / n;
s_3 = std(x, 1)^3;
skewness = third_moment / s_3;
end
% Define function to compute kurtosis
function kurtosis = compute_kurtosis(x)
n = length(x);
fourth_moment = sum((x – mean(x)).^4) / n;
s_4 = std(x, 1)^4;
kurtosis = fourth_moment / s_4 – 3;
end data processing MATLAB Answers — New Questions
View shows unassigned OKRs despite the filter is set for only a dedicated team
I created a view with a filter for one team; however, the view shows also unassigend OKRs. Any ideas what is causing this behavior?
I created a view with a filter for one team; however, the view shows also unassigend OKRs. Any ideas what is causing this behavior? Read More
How to speed up feature extraction task using GoogleNet?
I have some queries related to the speed of pretrained networks used for feature extraction.
Query 1:
I am using pre-trained network Googlenet (installed from MATLAB Add-Ons) for feature extraction from images. Right now, I am able to extract features from 5 frames in one second. If I do not have option to enhance the computational power of my machine (on which I am performing feature extraction), how can I increase the speed of feature extraction using the same network (means how can I be able to extract features from, say 20 or 30 frames per second).
Query 2:
What are the different factors that determine the speed of pre-trained networks for feature extraction? Can anyone please elaborate this one?
If my queries are not clear, feel free to comment.I have some queries related to the speed of pretrained networks used for feature extraction.
Query 1:
I am using pre-trained network Googlenet (installed from MATLAB Add-Ons) for feature extraction from images. Right now, I am able to extract features from 5 frames in one second. If I do not have option to enhance the computational power of my machine (on which I am performing feature extraction), how can I increase the speed of feature extraction using the same network (means how can I be able to extract features from, say 20 or 30 frames per second).
Query 2:
What are the different factors that determine the speed of pre-trained networks for feature extraction? Can anyone please elaborate this one?
If my queries are not clear, feel free to comment. I have some queries related to the speed of pretrained networks used for feature extraction.
Query 1:
I am using pre-trained network Googlenet (installed from MATLAB Add-Ons) for feature extraction from images. Right now, I am able to extract features from 5 frames in one second. If I do not have option to enhance the computational power of my machine (on which I am performing feature extraction), how can I increase the speed of feature extraction using the same network (means how can I be able to extract features from, say 20 or 30 frames per second).
Query 2:
What are the different factors that determine the speed of pre-trained networks for feature extraction? Can anyone please elaborate this one?
If my queries are not clear, feel free to comment. deep learning, pre-trained networks, googlenet, machine learning, feature extraction, speed of neural networks MATLAB Answers — New Questions
Extract table from image using copilot
Hi everyone,
I could need some helo 🙂
How do I use Copilot to copy a table from an image? The table is in a larger PDF and I want to copy it into Copilot using the screenshot function.
The table can look like this. For each row in column A, there can be several columns in B.
I can only do it if I give the AI so much information, e.g. what the rows in column A are called. I use Copilot which is for business (I think only the data protection is different here).
This is a part of a bigger task. But it already fails to read in the table. Even when I tell it to use OCR.
The table can be like this example. A is a merged cell. Its not two rows with ‘A’
0cloudy dayA1. info
A
2. more info
B1. info
B
2. more info
Hi everyone, I could need some helo :)How do I use Copilot to copy a table from an image? The table is in a larger PDF and I want to copy it into Copilot using the screenshot function.The table can look like this. For each row in column A, there can be several columns in B. I can only do it if I give the AI so much information, e.g. what the rows in column A are called. I use Copilot which is for business (I think only the data protection is different here). This is a part of a bigger task. But it already fails to read in the table. Even when I tell it to use OCR. The table can be like this example. A is a merged cell. Its not two rows with ‘A’0cloudy dayA1. infoA2. more infoB1. infoB2. more info Read More
color themes for section
Hello
How can I set color themes attached to each section in documents. I have multiple section document with leading color (blue, green, yellow etc.). Captions, frames etc. should be connected with color theme to be organised but Word allows to set only one custom theme for whole document. How can i set it only for a section.
Hello How can I set color themes attached to each section in documents. I have multiple section document with leading color (blue, green, yellow etc.). Captions, frames etc. should be connected with color theme to be organised but Word allows to set only one custom theme for whole document. How can i set it only for a section. Read More
MATLAB Coder crashes when opened in Ubuntu 18.04
Whenever I try to open the matlab coder from MATLAB, the MATLAB will crash and gives this error
Gtk-Message: 12:36:13.523: Failed to load module "overlay-scrollbar"
[0527/123639.510619:ERROR:gl_utils.cc(319)] [.WebGL-0x25dc130]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels
I am using MATLAB R2022b, the Ubuntu version is 18.04.6 and the GNU version is gcc 11.4. Can somebody help explain this error?Whenever I try to open the matlab coder from MATLAB, the MATLAB will crash and gives this error
Gtk-Message: 12:36:13.523: Failed to load module "overlay-scrollbar"
[0527/123639.510619:ERROR:gl_utils.cc(319)] [.WebGL-0x25dc130]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels
I am using MATLAB R2022b, the Ubuntu version is 18.04.6 and the GNU version is gcc 11.4. Can somebody help explain this error? Whenever I try to open the matlab coder from MATLAB, the MATLAB will crash and gives this error
Gtk-Message: 12:36:13.523: Failed to load module "overlay-scrollbar"
[0527/123639.510619:ERROR:gl_utils.cc(319)] [.WebGL-0x25dc130]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels
I am using MATLAB R2022b, the Ubuntu version is 18.04.6 and the GNU version is gcc 11.4. Can somebody help explain this error? matlab coder, crash, ubuntu 18.04, matlab r2022b MATLAB Answers — New Questions
Excel add same formula easy way
Hello,
I have numbers in C1 till Z1 cells.
I would like to multiply these cells value with A1 value.
Example: +A1*C1, +A1*B1……+A1*Z1
I know I could write one by one.
But is there a simple way to add all cells to this formula?
So if I change A1 cell value all the values have to change. C1-Z1 is not fixed. It have to change when A1 changing.
Hello,I have numbers in C1 till Z1 cells.I would like to multiply these cells value with A1 value.Example: +A1*C1, +A1*B1……+A1*Z1I know I could write one by one. But is there a simple way to add all cells to this formula?So if I change A1 cell value all the values have to change. C1-Z1 is not fixed. It have to change when A1 changing. Read More
Windows 10 and 2003
I’m 46, building Virtual Box VM’s Internal Workstaion Servers on Windows NT 3.5, NT 4.0, Windows XP and Windows Server 2003. From a retired Gold Partner Shared Source Microsoft Contract. I would like to know it anyone is intrested and if so where is the ACM at a NAT downstream internet if there is such a thing or what I would need to connect older computers to the internet.? My Startup Idea is a Virginia Computer Muesum with older computers such as the MITS Altair, OpenVMS, CTSS from XKL and other UNIX and System V varients. Using Alpha, VAX, MIPS and x86 architechure. I’m trying to find a Jazz Computer. Also Novell DR-DOS and MS-DOS and NetWare. I’ve been working with SCO Skunkware and OpenServer v5 source in Windows Server 2003 Services for UNIX also Windows Embedded 2009 Standard to use the SDL engineering files. I’ve made a Lab03_n Buffer Lab for Vista. from documentation from the beta wiki. And I’ve been trying to contact Microsoft’s Code Center Priemium, but nobody replies. I participated in Microsoft Bizspark with came with Windows CE Shared Source editions Also my HP FTP cache. Also I make FreeBSD, NetBSD, and OpenBSD VM’s with the Common Desktop Environment. VM’s with OpenStep, OS/2 and System V from AT&T. I try to find all of the telnet servers. Also Perl, Apache, and GNU caches.
Thank You,
Jonathan
I’m 46, building Virtual Box VM’s Internal Workstaion Servers on Windows NT 3.5, NT 4.0, Windows XP and Windows Server 2003. From a retired Gold Partner Shared Source Microsoft Contract. I would like to know it anyone is intrested and if so where is the ACM at a NAT downstream internet if there is such a thing or what I would need to connect older computers to the internet.? My Startup Idea is a Virginia Computer Muesum with older computers such as the MITS Altair, OpenVMS, CTSS from XKL and other UNIX and System V varients. Using Alpha, VAX, MIPS and x86 architechure. I’m trying to find a Jazz Computer. Also Novell DR-DOS and MS-DOS and NetWare. I’ve been working with SCO Skunkware and OpenServer v5 source in Windows Server 2003 Services for UNIX also Windows Embedded 2009 Standard to use the SDL engineering files. I’ve made a Lab03_n Buffer Lab for Vista. from documentation from the beta wiki. And I’ve been trying to contact Microsoft’s Code Center Priemium, but nobody replies. I participated in Microsoft Bizspark with came with Windows CE Shared Source editions Also my HP FTP cache. Also I make FreeBSD, NetBSD, and OpenBSD VM’s with the Common Desktop Environment. VM’s with OpenStep, OS/2 and System V from AT&T. I try to find all of the telnet servers. Also Perl, Apache, and GNU caches.Thank You,Jonathan Read More
How do I Fix QuickBooks Error H505: Unable to Access Company File in Multi-User Mode
I’m encountering QuickBooks error H505 when attempting to switch to multi-user mode or access a company file located on another computer on my network. This prevents me from collaborating with colleagues on our financial data. Any suggestion would be appreciated.
I’ve verified that both my computer and the server computer are running compatible versions of QuickBooks Desktop.I’ve ensured the computer hosting the company file is set up for multi-user access (Host Multi-User Access enabled).I’ve checked that firewalls on both computers aren’t blocking communication between them.
I would appreciate guidance on how to resolve this error and successfully access the company file in multi-user mode.
I’m encountering QuickBooks error H505 when attempting to switch to multi-user mode or access a company file located on another computer on my network. This prevents me from collaborating with colleagues on our financial data. Any suggestion would be appreciated. I’ve verified that both my computer and the server computer are running compatible versions of QuickBooks Desktop.I’ve ensured the computer hosting the company file is set up for multi-user access (Host Multi-User Access enabled).I’ve checked that firewalls on both computers aren’t blocking communication between them.I would appreciate guidance on how to resolve this error and successfully access the company file in multi-user mode. Read More
MDI Sensor Windows-Service issue Version 2.235.17900.47908
Hello all,
We have successfully installed the MDI sensor with version 2.235.17900.47908 on an Windows Server 2022. After installation, the MDI sensor does not start. According to the readiness tool, everything is in place. We also added the MDI service account to the Logon as service group.
The MDI sensor then tries to start the sensor-service over and over again, but without success.
We receive the following errors:
Microsoft.Tri.Sensor-Errors.log
2024-05-23 13:40:20.4944 Error HttpResponseMessageExtension Microsoft.Tri.Infrastructure.ExtendedHttpRequestException: Response status code does not indicate success: 400 (Bad Request). —> System.Net.Http.HttpRequestException: Response status code does not indicate success: 400 (Bad Request).
Microsoft.Tri.Sensor.Updater-Errors.logs
2024-05-23 13:41:02.8043 Error ServiceControllerExtension ChangeServiceStatus failed to change service status [name=AATPSensor status=Running Exception=System.ServiceProcess.TimeoutException: Time out has expired and the operation has not been completed.
at System.ServiceProcess.ServiceController.WaitForStatus(ServiceControllerStatus desiredStatus, TimeSpan timeout)
at Microsoft.Tri.Infrastructure.ServiceControllerExtension.ChangeServiceStatus(String name, ServiceControllerStatus status, TimeSpan timeout, Nullable`1 awaitedStatus)]
I can’t find anything about this behaviour in any other discussion. That’s why I started this one.
Thanks for all the inputs.
Hello all, We have successfully installed the MDI sensor with version 2.235.17900.47908 on an Windows Server 2022. After installation, the MDI sensor does not start. According to the readiness tool, everything is in place. We also added the MDI service account to the Logon as service group. The MDI sensor then tries to start the sensor-service over and over again, but without success. We receive the following errors:Microsoft.Tri.Sensor-Errors.log2024-05-23 13:40:20.4944 Error HttpResponseMessageExtension Microsoft.Tri.Infrastructure.ExtendedHttpRequestException: Response status code does not indicate success: 400 (Bad Request). —> System.Net.Http.HttpRequestException: Response status code does not indicate success: 400 (Bad Request). Microsoft.Tri.Sensor.Updater-Errors.logs2024-05-23 13:41:02.8043 Error ServiceControllerExtension ChangeServiceStatus failed to change service status [name=AATPSensor status=Running Exception=System.ServiceProcess.TimeoutException: Time out has expired and the operation has not been completed.at System.ServiceProcess.ServiceController.WaitForStatus(ServiceControllerStatus desiredStatus, TimeSpan timeout)at Microsoft.Tri.Infrastructure.ServiceControllerExtension.ChangeServiceStatus(String name, ServiceControllerStatus status, TimeSpan timeout, Nullable`1 awaitedStatus)] I can’t find anything about this behaviour in any other discussion. That’s why I started this one. Thanks for all the inputs. Read More
How do I get rid of QuickBooks Unrecoverable Error When Opening Company File?
I am encountering an unrecoverable error when attempting to open my company file in QuickBooks Desktop. The error message appears upon launching the program and selecting the company file.
Symptoms:
When I try to open the company file, I receive an error message stating “Unrecoverable Error.“QuickBooks Desktop may close unexpectedly.This error occurs regardless of the company file I attempt to open.
This issue prevents me from accessing my company data in QuickBooks, hindering my ability to perform essential accounting tasks such as managing finances, generating reports, and processing payroll.
I would like to resolve the unrecoverable error and access my company file in QuickBooks Desktop. Any suggestion would be appreciated!
I am encountering an unrecoverable error when attempting to open my company file in QuickBooks Desktop. The error message appears upon launching the program and selecting the company file.Symptoms:When I try to open the company file, I receive an error message stating “Unrecoverable Error.”QuickBooks Desktop may close unexpectedly.This error occurs regardless of the company file I attempt to open. This issue prevents me from accessing my company data in QuickBooks, hindering my ability to perform essential accounting tasks such as managing finances, generating reports, and processing payroll.I would like to resolve the unrecoverable error and access my company file in QuickBooks Desktop. Any suggestion would be appreciated! Read More
[Adaptive cards] Background color changed with the new Teams
Hello,
Since the new Teams update, rendering of the background color on adaptive cards are different.
Attention (red) and Warning (orange) are looking too much alike using both Light and Dark theme.
I’m using colored containers as card header, so it makes reading them confusing.
oldTeams_DarkoldTeams_LightnewTeams_DarknewTeams_Light
Old Teams version : 1.7.00.7956
New Teams version : 24102.2223.2870.9480
Thank you.
Hello,Since the new Teams update, rendering of the background color on adaptive cards are different.Attention (red) and Warning (orange) are looking too much alike using both Light and Dark theme.I’m using colored containers as card header, so it makes reading them confusing.oldTeams_DarkoldTeams_LightnewTeams_DarknewTeams_LightOld Teams version : 1.7.00.7956New Teams version : 24102.2223.2870.9480 Thank you. Read More
Multiple Regression and Intercept
% Load the data from the Excel file
data = readtable(‘데이터(최종).xlsx’, ‘Sheet’, ‘Sheet5’);
% Define the dependent variable
y = data.Arrive;
% Define the independent variables
X = [data.Price_m, data.Volme, data.Relative_y, data.Relative_m, …
data.mine, data.debt, data.Quin, data.Cpi, data.Rate, data.Depo, …
data.Bull, data.Sale, data.Move, data.Sub];
% Add a column of ones to the independent variables matrix for the intercept
X = [ones(size(X, 1), 1), X];
% Perform the multiple linear regression
[b, ~, ~, ~, stats] = regress(y, X);
% Display the results
disp(‘Regression Coefficients:’);
disp(b);
disp(‘R-squared:’);
disp(stats(1));
disp(‘F-statistic:’);
disp(stats(2));
disp(‘p-value:’);
disp(stats(3));
disp(‘Error Variance:’);
disp(stats(4));
I’m going to proceed with a multilinear regression analysis with the data string called Arrive as the dependent variable, and the result is as follows. Is it ok…?
disp(stats(4));
Regression Coefficients:
1.0e+06 *
4.1453
-0.0190
0.0040
-0.0960
-0.6115
-0.0022
-0.0140
0.0259
0.0070
-0.0602
-0.0196
-0.0003
-0.0000
0.0000
0.0000
R-squared:
0.3997
F-statistic:
4.5189
p-value:
3.5809e-06
Error Variance:
3.8687e+09% Load the data from the Excel file
data = readtable(‘데이터(최종).xlsx’, ‘Sheet’, ‘Sheet5’);
% Define the dependent variable
y = data.Arrive;
% Define the independent variables
X = [data.Price_m, data.Volme, data.Relative_y, data.Relative_m, …
data.mine, data.debt, data.Quin, data.Cpi, data.Rate, data.Depo, …
data.Bull, data.Sale, data.Move, data.Sub];
% Add a column of ones to the independent variables matrix for the intercept
X = [ones(size(X, 1), 1), X];
% Perform the multiple linear regression
[b, ~, ~, ~, stats] = regress(y, X);
% Display the results
disp(‘Regression Coefficients:’);
disp(b);
disp(‘R-squared:’);
disp(stats(1));
disp(‘F-statistic:’);
disp(stats(2));
disp(‘p-value:’);
disp(stats(3));
disp(‘Error Variance:’);
disp(stats(4));
I’m going to proceed with a multilinear regression analysis with the data string called Arrive as the dependent variable, and the result is as follows. Is it ok…?
disp(stats(4));
Regression Coefficients:
1.0e+06 *
4.1453
-0.0190
0.0040
-0.0960
-0.6115
-0.0022
-0.0140
0.0259
0.0070
-0.0602
-0.0196
-0.0003
-0.0000
0.0000
0.0000
R-squared:
0.3997
F-statistic:
4.5189
p-value:
3.5809e-06
Error Variance:
3.8687e+09 % Load the data from the Excel file
data = readtable(‘데이터(최종).xlsx’, ‘Sheet’, ‘Sheet5’);
% Define the dependent variable
y = data.Arrive;
% Define the independent variables
X = [data.Price_m, data.Volme, data.Relative_y, data.Relative_m, …
data.mine, data.debt, data.Quin, data.Cpi, data.Rate, data.Depo, …
data.Bull, data.Sale, data.Move, data.Sub];
% Add a column of ones to the independent variables matrix for the intercept
X = [ones(size(X, 1), 1), X];
% Perform the multiple linear regression
[b, ~, ~, ~, stats] = regress(y, X);
% Display the results
disp(‘Regression Coefficients:’);
disp(b);
disp(‘R-squared:’);
disp(stats(1));
disp(‘F-statistic:’);
disp(stats(2));
disp(‘p-value:’);
disp(stats(3));
disp(‘Error Variance:’);
disp(stats(4));
I’m going to proceed with a multilinear regression analysis with the data string called Arrive as the dependent variable, and the result is as follows. Is it ok…?
disp(stats(4));
Regression Coefficients:
1.0e+06 *
4.1453
-0.0190
0.0040
-0.0960
-0.6115
-0.0022
-0.0140
0.0259
0.0070
-0.0602
-0.0196
-0.0003
-0.0000
0.0000
0.0000
R-squared:
0.3997
F-statistic:
4.5189
p-value:
3.5809e-06
Error Variance:
3.8687e+09 regression, multiple, intercept MATLAB Answers — New Questions
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