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### plot.R ---
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## Author: Brice Ozenne
## Created: okt 20 2021 (11:00)
## Version:
## Last-Updated: jul 27 2023 (13:50)
## By: Brice Ozenne
## Update #: 119
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##
### Commentary:
##
### Change Log:
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### Code:
## * plot.lmm (code)
##' @describeIn autoplot.lmm Graphical Display For Linear Mixed Models
##' @export
plot.lmm <- function(x, ...){
out <- autoplot.lmm(x, ...)
if(!is.null(out$plot)){
## if ggplot then the graph is stored in out and should be displayed here
## otherwise the graph has already been displayed but could not be stored in the object (e.g. when using qqtest)
print(out$plot)
}
return(invisible(out))
}
## * plot.partialCor (code)
##' @describeIn autoplot.partialCor Graphical Display For Partial Correlation
##' @export
plot.partialCor <- function(x, ...){
out <- autoplot.partialCor(x, ...)
print(out$plot)
return(invisible(out))
}
## * plot.profil_lmm (code)
##' @describeIn autoplot.profile_lmm Display Contour of the log-Likelihood
##' @export
plot.profile_lmm <- function(x, ...){
out <- autoplot.profile_lmm(x, ...)
print(out$plot)
return(invisible(out))
}
## * plot.residuals_lmm (code)
##' @describeIn autoplot.residuals_lmm Graphical Display of the Residuals
##' @export
plot.residuals_lmm <- function(x, ...){
out <- autoplot.residuals_lmm(x, ...)
print(out$plot)
return(invisible(out))
}
## * plot.summarize (code)
##' @describeIn autoplot.summarize Graphical Display of Missing Data Pattern
##' @export
plot.summarize <- function(x, ...){
out <- autoplot.summarize(x, ...)
print(out$plot)
return(invisible(out))
}
## * plot.summarizeNA (code)
##' @describeIn autoplot.summarizeNA Graphical Display of Missing Data Pattern
##' @export
plot.summarizeNA <- function(x, ...){
out <- autoplot.summarizeNA(x, ...)
print(out$plot)
return(invisible(out))
}
## * plot.Wald_lmm (code)
##' @describeIn autoplot.Wald_lmm Graphical Display For Linear Hypothesis Test
##' @export
plot.Wald_lmm <- function(x, ...){
out <- autoplot.Wald_lmm(x, ...)
print(out$plot)
return(invisible(out))
}
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### plot.R ends here
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