#' second plot
#'
#' @param data Filtered hits data frame
#' @param data_types List of desired facets in order.
#'
#' @export
plot2_hitscore <- function(data, data_types){
library(ggplot2)
data$Data.Type %<>% factor(levels = data_types)
g <- ggplot(data,
aes(x = Median.Hit.Score.Ctrl, y = Median.Hit.Score.Case,
Protein = Protein, Description = Description, Annotation = Flags)) +
geom_point(data = data[data$Flags != "NA", ],
aes(color = Key.Flag), alpha = 0.5) +
geom_point(data = data[data$Flags == "NA", ],
aes(color = Key.Flag), alpha = 0.5) +
facet_wrap(~Data.Type, scales = "free") + theme_bw() +
#scale_x_log10() + scale_y_log10() +
ggtitle("Median Score of Hits, Cases vs. Controls") +
xlab("Median Control Hit Score") + ylab("Median Case Hit Score") +
theme(axis.text.x = element_text(angle = 0),
axis.text.y = element_text(angle = 90),
legend.title = element_blank())
return(g)
}
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