dashboardPlot: Create interactive Shiny app to explore results
In weinbergerlab/ExcessILI: A package and RShiny app to examine excess ILI from syndromic surveillance data
Description
Usage
Arguments
Value
View source: R/dashboardPlot.R
Description
dashboardPlot Creates an interactive Shiny plot to explore results
generated in the function excessCases. Drop down menus
allow for viewing different syndromes, age groups, and geographies, and
for looking at plots of raw counts, proportions, or Observed/Expected.
Usage
1
dashboardPlot(all.glm.res)
Arguments
all.glm.res
Provide the object returned by the function
excessCases
Value
Returns an object representing the shinyapp. Depending on the
environment (RStudio vs. console) the app may then be passed to
print(), which will start the server. Refer to
link[shiny]{shinyApp} for more details.
weinbergerlab/ExcessILI documentation built on May 30, 2021, 10:57 a.m.
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Description Usage Arguments Value
View source: R/dashboardPlot.R
Description
dashboardPlot Creates an interactive Shiny plot to explore results
generated in the function excessCases. Drop down menus
allow for viewing different syndromes, age groups, and geographies, and
for looking at plots of raw counts, proportions, or Observed/Expected.
Usage
1 | dashboardPlot(all.glm.res)
|
Arguments
all.glm.res |
Provide the object returned by the function
|
Value
Returns an object representing the shinyapp. Depending on the
environment (RStudio vs. console) the app may then be passed to
print(), which will start the server. Refer to
link[shiny]{shinyApp} for more details.
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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