Regional Data Selector Tool
Regional Mask Tool
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Selecting data for inclusion in or exclusion from analysis in Origin is easy with the Regional Data Selector and Regional Mask tools.
Regional Data Selector Tool
When selecting data for analysis using the Regional Data Selector tool, you can:
- Choose to select from one or all curves in the graph.
- Make mutliple selections, even within the same dataset. Origin's analysis routines then automatically assign these range selections for analysis.
- Perform data selection using a rectangular window or freehand option.
- Easily update a range selection by double-clicking on the "analysis markers" and dragging them in the same way you would the data markers found in earlier versions of Origin.
- Perform fitting on different segments of your dataset using different fitting models.

A rectangular range selection across all three plots in the graph is shown. The up and down arrows on each plot are called "analysis markers". These indicate the current range selections that are present in the graph. If more than one range is selected on a particular plot, the ranges for that data plot are enumerated on the graph for easier identification.
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Regional Mask Tool
When masking data from analysis using the Regional Mask tool, you can:
- Choose to apply the mask to one or all curves in the graph, as well as mask individual data points.
- Make mutliple masks. Origin's analysis routines then automatically exclude these masked points during analysis.
- Perform masking using a rectangular window or freehand option, or double-click on individual data points.
- Change the color used in the worksheet and for data points to indicate which points are masked
- Enable/disable the masking option without having to mask any data again. This allows for quick comparisons when analyzing data with/withough the masked values.
- Swap the mask within each data set.

A freehand mask selection of non-contiguous data points (two individual data points and one range) within the same dataset is shown. The blue linear fit curve illustrates how the masked points (in red) were ignored during fitting. |