Q Research Software

It should be possible to run an Elastic Net Regression. Cf. https://en.wikipedia.org/wiki/Elastic_net_regularization

Q and Displayr don't support the Combo (Column + Line) PPT chart. They also don't support the Funnel charts. It would be fantastic if we could support all available PPT charts. On another hand the list of charts still contains many, many charts that PPT has since removed.

The client would like to show the Mean and Column Comparisons in Statistics Below in a single cell - not split across two rows.

Place column comparisons from below table to be able to appear in different cells, such as the Average below statistics cells.

It should be possible to select part of a cell (row/column headers) and format that part of the text differently to the rest of the cell, e.g., bolding half the text and leaving the rest normal.

In the below link, there is a price sensitivity meter visualization: [ https://app.displayr.com/Dashboard?project_id=-1010255#page=1c56b721-3cd8-45eb-9537-c3495f1a97ae|https://app.displayr.com/Dashboard?project_id=-1010255#page=1c56b721-3cd8-45eb-9537-c3495f1a97ae ] I want to be able to move the labels so they don’t overlap but this is ignored when exported to PPT or PDF. !image-20230215-041358.png|width=1593,height=911! Steps to Reproduce: Rearrange some labels in the chart Export to PPT via Publish > Export Pages > PowerPoint Expected Result: The labels that have been moved remain in the changed locations. Actual Result: The image shows the original label positions.

The concept behind this approach—to have the flexibility to nest tables with variables already available, rather than creating new banner variables for every permutation—is a smart way to simplify and streamline your workflow. By reducing the number of variables in a dataset, this method can make it much easier to manage and analyze your data effectively.

Whenever we work with tables in R, we only get the first statistic, or elements of the original Q tables "drop off" This request is to make sure that when we conduct R operations on a table that has significance results (as exception tests) these are retainable and will show for the relevant rows/columns regardless of the "shape" of the final output.

In-built Kano Analysis creator. See: https://the.datastory.guide/hc/en-us/articles/4634099469199-Overview-of-the-Kano-Model

Allow users to sort code of codeframe alphabetically when using manual/semi-automatic coding interface