List
SPSSAU Error Code
1.Data quality anomaly detected!
Quality anomaly occurs when the system is unable to compute results. The specific solutions are as follows:
Typically, strong collinearity between the data causes this. It is recommended to use the collinearity analysis in "Advanced Methods", and the system will automatically identify strongly collinear items. After addressing the issues as suggested by the system, the results should be output correctly.
No correlation between analysis items. It is recommended to use correlation analysis to check the relationship. Remove items with a very low correlation coefficient (e.g., less than 0.2) from the model and re-analysis.
Insufficient sample size. Many algorithms have internal requirements for sample size. Generally, the sample size should be larger than the number of analysis items. For example, if there are only 10 samples but 20 analysis items, it is highly likely that data quality anomalies will occur. It is recommended to use the descriptive analysis in General Methods to check the sample size for each item.
If the issue persists, please send operation screenshots and data to cs@spssau.com.
2.Data Related
| No. | Code |
|---|---|
| 1 | File upload failed! |
| 2 | File exceeds 10MB! |
| 3 | File exceeds 5MB! |
| 4 | Data exceeds 50,000 records! |
| 5 | File exceeds 1024 columns! |
| 6 | Error filtering data! |
| 7 | File type error! |
| 8 | Error updating data! |
| 9 | Non-members can only store up to 10 documents! |
| 10 | No valid data found upon upload and parsing! |
| 11 | Data selection error! |
| 12 | Data access error! |
| 13 | Incorrect file data! |
When encountering notes indicating that data cannot be uploaded, click to view more details.
When there is a permission error, check if you are logged into two different accounts or if the data has been deleted.
If the issue persists, please send operation screenshots and data to cs@spssau.com.
3.Account Related
| No. | Code |
|---|---|
| 1 | You have been logged out due to login activity from another location! |
| 2 | Non-members can only store up to 10 documents! |
| 3 | You have reached the daily analysis limit for non-members! |
| 4 | Text Analysis module is available only to weekly members! |
| 5 | Please try again tomorrow due to excessive login attempts! |
| 6 | Abnormal login detected, account usage restricted! |
| 7 | Please try again tomorrow due to IP address login issue! |
| 8 | Analysis exception detected for the current account! |
| 9 | User not logged in or session has expired! |
| 10 | Permission denied! |
| 11 | Data access error! |
| 12 | Max 10 text documents. Delete extras and re-upload! |
An account can only be used on the same device (computer or mobile) and the same browser. If logged in from different devices or browsers, you will be prompted to log in again.
Non-members are limited in the number of analyses and the amount of storage for documents. Additionally, SPSSAU restricts frequent IP address switching for the same account. These limitations are usually on a daily basis, and typically, access can be restored after midnight.
One-day members cannot access Text Analysis and Power Analysis.
4.Calculation Unavailable
| No. | Code |
|---|---|
| 1 | Cluster count does not meet the target number |
| 2 | Initial data should not be 0! |
| 3 | Incorrect cutoff point settings. Cannot proceed with joint diagnostics! |
| 4 | Variables are collinear. Consider using stepwise regression or Ridge regression. |
| 5 | No effective independent variable detected by model! |
| 6 | Poor model quality results in a tolerance of 0 and infinite VIF values. Please check for multicollinearity or use Ridge regression. |
| 7 | Singular matrix occurred. Please check the method or consult the help manual. |
| 8 | Singular matrix or other problems occurred. Please consult the help manual. |
| 9 | Auto arima failure. Please input parameters manually! |
| 10 | This title may not be a category, or may not require dummy variable setting. Please refer to the help manual. |
| 11 | Failed to save/update due to excessive data! |
| 12 | Unknown category detected in training data! |
When encountering the above notes, please follow these steps for troubleshooting:
1. Follow the instructions provided in the note.
2. Check for multicollinearity issues by "Advanced Methods"-》"Collinearity Analysis".
3. Perform descriptive analysis to check for missing data or other issues.
4. Verify that the data format meets the requirements. Click to view the data format details.
5. Refer to the help manual in the corresponding method for guidance.
6. Use "View Data" to inspect the raw data for any abnormalities.
If the issue persists, please send operation screenshots and data to cs@spssau.com.
5.Basic Algorithm Requirements
| No. | Code |
|---|---|
| 1 | Multiple-choice data format error! |
| 2 | No valid data available! |
| 3 | X can only have two categories, such as male and female! |
| 4 | Insufficient valid samples! |
| 5 | Categories outnumber available samples! |
| 6 | Ensure at least two groups for X. Please use frequency analysis to check! |
| 7 | Comparison value format error. Please enter a valid number! |
| 8 | Y values must be either 0 or 1! |
| 9 | Life status must be either 0 or 1! |
| 10 | Y values are constant! |
| 11 | Values must not be less than 0! |
| 12 | Dependent variable must be ordinal. Check the help manual for the correct method! |
| 13 | At least 3 options required for the dependent variable. Please use data encoding to check! |
| 14 | Severely unbalanced distribution in dependent variable |
| 15 | Excessive categories or insufficient category samples. Please check! |
| 16 | Treated and Time values must be either 0 or 1! |
| 17 | Insufficient valid samples for calculation! |
| 18 | Sample data must be between 0 and 10! |
| 19 | Please check if the data is orthogonal! |
| 20 | Data format error. Please check! |
| 21 | At least 2 analysis items are required! |
| 22 | Group variable must be binary! |
| 23 | Outcome variable must be binary! |
| 24 | Factor data should be categorical! |
| 25 | Input items cannot all be zero! |
| 26 | Breakpoint values must lie within the X range! |
| 27 | Insufficient samples in one group! |
| 28 | Lower right triangle values should be zero! |
| 29 | Time selection error! |
| 30 | Lags setting error! |
| 31 | The max matrix is 20x20! |
| 32 | Probabilities should be between zero and one! |
| 33 | Sample data count less than X |
| 34 | Please select at least two titles! |
| 35 | The number of options for Y is too few/many! |
| 36 | Excessive categories detected. Please check the method! |
| 37 | Constant value detected in a title. Please check the data! |
| 38 | Too much data. Please check the method! |
| 39 | Too many states. Not currently supported! |
| 40 | Initial probabilities do not match the number of states! |
| 41 | Non-panel format data! |
| 42 | Too many categories! |
| 43 | Non-categorical data detected! |
| 44 | This orthogonal table does not exist! |
| 45 | Grouping items must be categories! |
| 46 | Sample size for a grouping item is too small! |
| 47 | Too much data! |
| 48 | Data must be 1-5! |
| 49 | Data cannot be negative! |
| 50 | Too many different numerical values in the time item! |
| 51 | Data must be integers between 1 and 5! |
| 52 | Data must be either 0 or 1! |
| 53 | The response count is less than the total. Please check! |
| 54 | Price data must be between 1 and 4！ |
| 55 | Attitude data must be between 1 and 100! |
| 56 | Too few categories. Please check the data! |
| 57 | No uncensored data available! |
| 58 | Dates cannot be blank! |
| 59 | Duplicate dates are not allowed! |
| 60 | Sample size is too large! |
| 61 | Too many categories for X! |
| 62 | Insufficient valid samples for X |
| 63 | At least two indicator items! |
| 64 | The correlation coefficient between X and Y is 1! |
| 65 | The correlation coefficient between X and Y is -1! |
| 66 | Sample size is too large for GM(1,1) model application! |
| 67 | The number of research items does not match that of weight items! |
| 68 | Too few groups! |
| 69 | Too many groups! |
| 70 | The sample size is too large. Please model manually! |
| 71 | Insufficient periods. Suggest using a panel data model instead! |
| 72 | Too many clusters for the data rows. Please adjust the cluster count! |
| 73 | Categories must be integers! |
| 74 | Weighted data must be integers! |
| 75 | X must be categories! |
| 76 | Geo weight matrix must be n × n! |
| 77 | Lower right triangular line should be 0! |
| 78 | Geo weight matrix must be symmetric! |
| 79 | Too many analyze items! |
When the above notes appear, it is recommended to check as follows:
1. Follow the instructions provided in the note.
2. Check if the data format meets the requirements. Click to view data format. Carefully review the data format, for example, in an independent samples t test, the variable X should only have 2 groups, but if X contains 3 different values, this could cause an issue. Or X may need to be a Nominal but is currently a Quantitative.
3. Check for collinearity issues in the data using "Advanced Methods"-》"Collinearity Analysis".
4. Perform descriptive analysis to check for missing data or other issues.
5. Refer to the help manual within the relevant method for further guidance.
6. Use "View Data" to check the raw data for any anomalies or inconsistencies.
If the problem persists, please send screenshots and the data to cs@spssau.com.