xVUI: Shiny module UI for cross-view of multidimensional data
In avucoh/DIVE: Data Integration and Visual Exploration
xVUI R Documentation
Shiny module UI for cross-view of multidimensional data
Description
Create UI to integratively visualize an expression dataset with phenotype or clinical features
Usage
xVUI(id, title = NULL, extension = TRUE)
Arguments
id
Character ID for specifying namespace, see shiny::NS.
title
Optional title or other info displayed at the top, usually the dataset title.
extension
Whether to include UI with extra links for calling external modules. See details.
Details
The UI is based on a "visual spreadsheet" or "line up" view.
The original use case presumes the high-dimensional data to be expression data, e.g.
gene or protein expression matrices. The module's primary task is simply
to combine these two data types and visualize them together
with some basic clustering and filtering options; see xVServer for more details.
However, after the initial visualization many users will want to
analyze the data, which is a task that is handled by other modules.
The module can contain links to call these other modules,
which are conditionally rendered in the control panel depending on the parameter extension.
If the extension is rendered, returndata should be specified for the server function
so that the module can pass the current data to these other modules.
avucoh/DIVE documentation built on Aug. 29, 2023, 6:02 p.m.
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| xVUI | R Documentation |
Shiny module UI for cross-view of multidimensional data
Description
Create UI to integratively visualize an expression dataset with phenotype or clinical features
Usage
xVUI(id, title = NULL, extension = TRUE)
Arguments
id |
Character ID for specifying namespace, see |
title |
Optional title or other info displayed at the top, usually the dataset title. |
extension |
Whether to include UI with extra links for calling external modules. See details. |
Details
The UI is based on a "visual spreadsheet" or "line up" view.
The original use case presumes the high-dimensional data to be expression data, e.g.
gene or protein expression matrices. The module's primary task is simply
to combine these two data types and visualize them together
with some basic clustering and filtering options; see xVServer for more details.
However, after the initial visualization many users will want to
analyze the data, which is a task that is handled by other modules.
The module can contain links to call these other modules,
which are conditionally rendered in the control panel depending on the parameter extension.
If the extension is rendered, returndata should be specified for the server function
so that the module can pass the current data to these other modules.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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