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#############################################################################################
## Project: PKgraph
## File: PKgraphlayout.R
## Author: Xiaoyong Sun
## Date: 08/19/2009
## Goal: PKgraph
## - interface
## Notes:
#############################################################################################
################################################################################
## Main layout: menubar, toolbar
################################################################################
mbl = list(
Project = list(
"Open data" = list(handler= openDataHandler, icon="open"),
"Save data" = list(handler=saveHandler, icon="save-as"),
"Save workspace" = list(handler=saveProjectHandler, icon="save"),
Sep = list(separator=TRUE),
"Clean data" = list(handler= cleanDataHandler, icon="open"),
"Restore old workspace" = list(handler=restoreHandler, icon="revert-to-saved"),
"Exit" = list(handler=exitHandler, icon="quit")
),
Configure = list(
"Set data type" = list(handler= function(h,...) ggobiPlotType()),
"Set working directory" = list(handler= configDirHandler),
"Set saving format" = list(handler= configFormatHandler),
"Set figure configuration" = list(handler= configFigureHandler)
),
"Data management" = list(
Subset = list(handler= function(h,...) pk.subset()),
"Factor" = list(handler= function(h,...) pk.factor())
),
"Exploratory data analysis" = list(
Univariates = list(handler= function(h,...) pk.uni.menu()),
Bivariates = list(handler=function(h,...) pk.bi.menu()),
#Trivariates = list(handler=function(h,...) pk.tri.menu()),
Sep = list(separator=TRUE),
#Timeplots = list(handler=function(h,...) pk.time.menu()),
"Parallel coordinates plot" = list(handler=function(h,...) pk.para.menu()),
#Heatmap = list(handler=function(h,...) pk.heat.menu()) ,
"Scatterplot matrix" = list(handler=function(h,...) pk.matrix.menu())
),
"PK Models" = list(
"Configure model result" = list(handler= configDataHandler),
Sep = list(separator=TRUE),
"Individual plots" = list(handler= function(h,...) pk.model.ind()),
"Basic goodness of fit plots" = list(handler= function(h,...) pk.model.gof()),
"Parameters" = list(handler= function(h,...) pk.model.para()),
"Random effects" = list(handler= function(h,...) pk.model.random()),
"Structural model" = list(handler= function(h,...) pk.model.struct()),
"Residual error model" = list(handler= function(h,...) pk.model.resid()),
"Covariate model" = list(handler= function(h,...) pk.model.cov())
),
"Model validation" = list(
"Influence analysis summary (PsN)" = list(handler= function(h,...) pk.outlier.psn()),
"Visualization for influence analysis" = list(handler= function(h,...) pk.outlier.vis()),
"Bootstrap summary (PsN)" = list(handler= function(h,...) pk.boot.sum()) ,
"Visualization for bootstrap" = list(handler= function(h,...) pk.boot.vis()) #,
#"Simulation" = list(handler= function(h,...) pk.sim()) #,
#"Numerical predicative check" = list(handler= gofHandler),
#"Visual predicative check" = list(handler= gofHandler)
),
"Model comparison" = list(
"Select datasets" = list(handler= function(h,...) pk.com.config()),
"Configure mapping" = list(handler= function(h,...) pk.com.map()),
Sep = list(separator=TRUE),
"Histogram comparison" = list(handler=function(h,...) pk.com.hist()),
"Scatter plot comparison" = list(handler=function(h,...) pk.com.scatter()),
"Transform comparison" = list(handler=function(h,...) pk.com.time())
),
"Interactive diagnostics" = list(
"Select datasets" = list(handler= function(h,...) ggobi.data()),
"Configure mapping" = list(handler= function(h,...) ggobi.map()),
Sep = list(separator=TRUE),
"Diagnostics" = list(handler= function(h,...) ggobi.diagose())
)
##,
#Report = list(
# "Report for exploratory Data Analysis" = list(handler= gofHandler),
# "Report for PK models" = list(handler= gofHandler),
# "Report for model validation" = list(handler= gofHandler),
# "Report for model comparison" = list(handler= gofHandler)
#)
)
## tool bar
tbl = list(
open = list(handler=openDataHandler, icon="open"),
preferences=list(handler=configFormatHandler, icon="preferences"),
subset=list(handler=function(h,...) pk.subset(), icon="subset"),
clean = list(handler=cleanDataHandler, icon="clear"),
save = list(handler=saveHandler, icon="save"),
help = list(handler=helpHandler, icon="help"),
quit = list(handler=exitHandler, icon="quit")
)
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