Nothing
#######################################################
## METHODS
#######################################################
##########
## Plot
##########
#x a gsynth object
# type of the plot; axes limits; axes labels;
# show raw data in "counterfactual" mode # ("none","band","all")
# main: whether to show the title;
# nfactors: whose loadings to be plotted
# id: individual plot
plot.gsynth <- function(
x,
type = "gap",
xlim = NULL,
ylim = NULL,
xlab = NULL,
ylab = NULL,
legendOff = FALSE,
raw = "none",
main = NULL,
nfactors = NULL,
id = NULL,
axis.adjust = FALSE,
theme.bw = TRUE,
shade.post = FALSE,
...){
if (type %in% c("raw","missing")){
# Implementing missing data visualization
# Extract data from the gsynth object
data <- x$data
index <- x$index
formula <- x$call$formula
if (type=="missing"){
# Set default main title if not provided
if(is.null(main)) {
main <- "Treatment Status and Missing Data"
}
# Call panelview with pre.post=TRUE to show treatment status
panelView::panelview(
data = data,
formula,
index = index,
pre.post = TRUE,
main = main,
xlab = xlab,
ylab = ylab,
xlim = xlim,
ylim = ylim,
axis.adjust = axis.adjust)
} else {
# Set default main title if not provided
if(is.null(main)) {
main <- "Raw Data"
}
# Call panelview with type="outcome" to show outcome values
panelView::panelview(
data = data,
formula,
index = index,
type = "outcome",
main = main,
xlab = xlab,
ylab = ylab,
xlim = xlim,
ylim = ylim,
legendOff = legendOff,
axis.adjust = axis.adjust)
}
} else {
class(x) <- "fect"
p <- fect::plot.fect(x=x,
type=type,
xlim=xlim,
ylim=ylim,
xlab = xlab,
ylab = ylab,
legendOff=legendOff,
raw=raw,
main=main,
nfactors = nfactors,
id=id,
axis.adjust = axis.adjust,
theme.bw=theme.bw,
shade.post = shade.post,
...)
return(p)
}
}
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