If this is a newly opened trend, you can start creating your model analysis right away.<\/p>\n You can add a new analysis in two other ways:<\/p>\n <\/p>\n When adding a new analysis, first choose the model type. There are 3 default model types available: Linear, Logarithmic, and Polynomial.<\/p>\n After choosing a model type, you can easily change it by clicking the Change<\/em> link.<\/p>\n <\/p>\n Effective Range allows you to specify the period of time for which this analysis is valid. You can specify the exact dates manually, or you can use a hairline to provide the dates. There is also the option to use the start time (ST<\/strong>) or the end time (ET<\/strong>) of the Trend (i.e. the times at the far left or the far right of the x-axis).<\/p>\n 1. Select the 'Set Effective Range<\/strong>' check box.<\/p>\n 2. Both Effective Start<\/strong> and Effective End<\/strong> must have a date selected. You can either:<\/p>\n - Choose a specific date\/time using the date picker<\/strong>: click the calendar - Use the hairline control<\/strong> to specify the date\/time of a hairline (click H1<\/strong>, H2<\/strong> etc), or the visible start time (ST<\/strong>) or visible end time (ET<\/strong>) of the trend.<\/p>\n <\/p>\n The Training section is where you provide the data and the date range against which you want to train the model.<\/p>\n 1. In the Data<\/strong> field, type the name of a tag or entity attribute and select the correct one from the list.\u00a0<\/p>\n Note: You can use any tag or entity data item here, it does not need to be added to the trend in order for training to occur, although it's often useful to see the tag and analysis side by side.<\/p>\n 2. If you would like to exclude statistically irrelevant data points, there are two filters that provide this capability: Standard Deviation and Interquartile Range. These filters provide an easy way to exclude data outliers and ensure that only clean data is used in training. Select the check boxes if required.<\/p>\n 3.\u00a0As with Effective Range, you can specify the training dates manually, or you can use a hairline to provide the dates.<\/p>\n 4. When you have finished setting up your training parameters, click the Train<\/strong> When training has completed, you will notice three things:<\/p>\n <\/p>\n The model parameters provide an opportunity to modify the polynomial coefficients after training, before executing the model. This provides a way to manipulate the data to determine the best result before executing the analysis.<\/p>\n The available parameters depend on the model selected.<\/p>\n In this section, you can:<\/p>\n <\/p>\n The analysis trace initially appears as a dashed black line during training or editing:<\/p>\n However you may change the colour and style to suit.<\/p>\n When you drag and drop the saved analysis tag, it appears as a normal trace, and has an attribute of Actual<\/em>:<\/p>\n You can open the Point Detail <\/p>\n To save your trained analysis:<\/p>\n 1. Click the Save Analysis<\/strong> button at the bottom of the New Analysis panel.\u00a0The name will be pre-populated with the name of the tag and 'Analysis' at the end.<\/p>\n 2. Change the Name<\/strong> to whatever you wish (note that the standard reserved characters<\/a> apply).<\/p>\n 3. Fill in the Description<\/strong> field if desired.<\/p>\n 4. Click Save and Continue<\/strong>.<\/p>\n The analysis is saved as a tag, and the name and description in the trace table will change accordingly.\u00a0<\/p>\n <\/p>\n You can edit an existing analysis in two ways:<\/p>\n![\"\"](\"https:\/\/oihelp.corporate.ifs.com\/help\/wp-content\/uploads\/2021\/02\/Analysis-1-1.png\")
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\nModel Type<\/h2>\n
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\nEffective Range<\/h2>\n
<\/a><\/p>\n<\/a>\u00a0icon to open the date picker, choose a date and time, and then click Apply<\/strong>.<\/p>\n<\/a><\/p>\n<\/a><\/p>\n
\nTraining<\/h2>\n
<\/a><\/p>\n<\/a><\/p>\n<\/a><\/p>\n<\/a><\/p>\n<\/a> icon in the section header.<\/p>\n<\/a><\/p>\n\n
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\nModel Parameters<\/h2>\n
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<\/a> icon to see the change reflected in the trend.<\/li>\n<\/a> icon. This has the same effect as clicking the bin <\/a> icon in the trace table. To add the line back in, click Train<\/em> or Execute<\/em> again.<\/li>\n<\/ul>\n<\/a><\/p>\n
\nAnalysis Trace<\/h2>\n
<\/a><\/p>\n<\/a>\u00a0<\/p>\n<\/a> for the analysis, which will show you the underlying information and commentary. The Analysis tag inherits min and max and some other values from the underlying tag.\u00a0 \u00a0<\/p>\n
\nSaving the Analysis<\/h2>\n
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\nEdit an Analysis<\/h2>\n