#' Helper function to display a forestplot
#'
#' This code generates a helper function used in the wrappers "forestplot_eumelareg" and "forestplot_meta_eumelareg".
#' @inheritParams survminer::ggforest
#' @param toShow Results of a cox regression containing variable names, variable levels, hazards, confidence intervals and p-values, which will be converted to a forestplot.
#' @param point_size Size of mean points.
#' @param varnames Character vector specifying rownames of the table (empty columns should be named with "").
#' @param line_size Size of errorbar line.
#' @param vjust_text vertical adjustment of text containing information about events, global pvalue, AIC and concordance index
#' @param y_breaks argument to supply manual y_breaks as a numerical vector. Default is NULL and breaks are set automatically within the function.
#' @param ylim argument to supply manual y limits as numerical vector of length 2. Default is NULL and limits are set automatically within the function.
#' @export
forest_plotFUN <- function(toShow, main, y_breaks, cpositions, refLabel, point_size, fontsize, line_size,
vjust_text, noDigits, ylim, varnames){
# set variable names which can be a function to NULL
conf.high <- conf.low <- estimate <- var <- shape <- NULL
if(!is.null(varnames)) toShow$var <- stri_replace_all_fixed(toShow$var, pattern = vars, replacement = varnames, vectorize_all = FALSE)
toShowExp <- toShow[, 5:7]
toShowExp[is.na(toShowExp)] <- 0
toShowExp <- format(exp(toShowExp), digits = noDigits)
toShowExpClean <- data.frame(toShow, pvalue = signif(toShow[, 4], noDigits + 1), toShowExp)
toShowExpClean$stars <- paste0(round(toShowExpClean$p.value,noDigits + 1), " ",
ifelse(toShowExpClean$p.value < 0.05, "*", ""),
ifelse(toShowExpClean$p.value < 0.01, "*", ""),
ifelse(toShowExpClean$p.value < 0.001, "*", ""))
toShowExpClean$ci <- paste0("(", toShowExpClean[, "conf.low.1"], " - ", toShowExpClean[, "conf.high.1"], ")")
toShowExpClean$estimate.1[is.na(toShowExpClean$estimate)] = refLabel
toShowExpClean$stars[which(toShowExpClean$p.value < 0.001)] = "<0.001 ***"
toShowExpClean$stars[is.na(toShowExpClean$estimate)] = ""
toShowExpClean$ci[is.na(toShowExpClean$estimate)] = ""
toShowExpClean$estimate[is.na(toShowExpClean$estimate)] = 0
toShowExpClean$var = as.character(toShowExpClean$var)
toShowExpClean$var[duplicated(toShowExpClean$var)] = ""
toShowExpClean$N <- paste0("(N=", toShowExpClean$N, ")")
toShowExpClean$levelN <- paste(toShowExpClean$level, toShowExpClean$N)
toShowExpClean$estimateCI <- paste(toShowExpClean$estimate.1, toShowExpClean$ci)
toShowExpClean <- toShowExpClean[nrow(toShowExpClean):1,]
toShowExpClean$estimate <- ifelse(toShowExpClean$estimate == 0, NA, toShowExpClean$estimate)
toShowExpClean$shape <- ifelse(toShowExpClean$var == "Overall", "total", "subgroup")
rangeb <- range(toShowExpClean$conf.low, toShowExpClean$conf.high, na.rm = TRUE)
if(is.null(y_breaks)) breaks <- grDevices::axisTicks(rangeb/2, log = TRUE, nint = 7) else breaks <- y_breaks
rangeplot <- rangeb
rangeplot[1] <- rangeplot[1] - diff(rangeb)
rangeplot[2] <- rangeplot[2] + 0.15 * diff(rangeb)
if (!is.null(ylim)) {
rangeplot <- log(ylim)
if (any(1.3*log(utils::tail(breaks, n = 1)) < toShowExpClean[!is.na(toShowExpClean$conf.high),]$conf.high)) message("Some upper confidence intervals have been cut in favor of better display.")
if (any(1.3*log(breaks[1]) > toShowExpClean[!is.na(toShowExpClean$conf.low),]$conf.low)) message("Some lower confidence intervals have been cut in favor of better display.")
toShowExpClean$estimate <- ifelse(toShowExpClean$estimate < log(ylim[1]), NA, toShowExpClean$estimate)
toShowExpClean$conf.high <- ifelse(toShowExpClean$estimate < log(ylim[1]), NA, toShowExpClean$conf.high)
toShowExpClean$conf.low <- ifelse(toShowExpClean$estimate > log(ylim[2]), NA, toShowExpClean$conf.low)
toShowExpClean$conf.high <- ifelse(1.3*log(utils::tail(breaks, n = 1)) < toShowExpClean$conf.high, 1.3*log(utils::tail(breaks, n = 1)), toShowExpClean$conf.high)
toShowExpClean$conf.low <- ifelse(1.3*log(breaks[1]) > toShowExpClean$conf.low, 1.3*log(breaks[1]), toShowExpClean$conf.low)
}
width <- diff(rangeplot)
y_variable <- rangeplot[1] + cpositions[1] * width
y_nlevel <- rangeplot[1] + cpositions[2] * width
y_cistring <- rangeplot[1] + cpositions[3] * width
y_stars <- rangeb[2]
x_annotate <- seq_len(nrow(toShowExpClean))
annot_size_mm <- fontsize * as.numeric(grid::convertX(unit(theme_get()$text$size, "pt"), "mm"))
p <- ggplot(toShowExpClean, aes(seq_along(var), exp(estimate))) +
geom_rect(aes(xmin = seq_along(var) - 0.5, xmax = seq_along(var) + 0.5, ymin = exp(rangeplot[1]),
ymax = exp(rangeplot[2]), fill = ordered(seq_along(var)%%2 + 1))) +
# color of the rectangles
scale_fill_manual(values = c("#FFFFFF33", "grey95"), guide = "none") +
geom_errorbar(aes(ymin = exp(conf.low), ymax = exp(conf.high)), size = line_size, width = 0) +
geom_point(aes(pch = shape, size = shape, color = shape)) +
scale_shape_manual(values = c(16,18)) +
scale_size_manual(values = c(point_size, point_size*2)) +
scale_color_manual(values = c("#009AA6", "#001B89")) +
geom_hline(yintercept = 1, linetype = 2) + coord_flip(ylim = exp(rangeplot)) +
ggtitle(main) +
theme_light() +
theme(panel.grid.minor.y = element_blank(),
panel.grid.minor.x = element_blank(),
panel.grid.major.y = element_blank(),
legend.position = "none",
panel.border = element_blank(),
axis.title.y = element_blank(),
axis.text.y = element_blank(),
axis.text.x = element_text(size = fontsize*13),
axis.ticks.y = element_blank(),
plot.title = element_text(size = fontsize *13, hjust = 0.5)) +
xlab("") +
annotate(geom = "text", x = x_annotate, y = exp(y_variable), label = toShowExpClean$var,
fontface = "bold", hjust = 0, size = annot_size_mm) +
annotate(geom = "text", x = x_annotate, y = exp(y_nlevel), hjust = 0,
label = toShowExpClean$levelN, size = annot_size_mm) +
annotate(geom = "text", x = x_annotate, y = exp(y_cistring),
label = toShowExpClean$estimateCI, size = annot_size_mm) +
annotate(geom = "text", x = x_annotate, y = if (!is.null(ylim)) ylim[2] - 0.4 * ylim[2] else exp(y_stars),
label = toShowExpClean$stars, size = annot_size_mm, hjust = -0.2, fontface = "italic")
if (!is.null(y_breaks)) {
p <- p + scale_y_log10(name = "", expand = c(0.02, 0.02), breaks = breaks)
} else {
p <- p + scale_y_log10(name = "", labels = sprintf("%g",breaks), expand = c(0.02, 0.02), breaks = breaks)
}
gt <- suppressWarnings(ggplot_gtable(ggplot_build(p)))
gt$layout$clip[gt$layout$name == "panel"] <- "off"
ggpubr::as_ggplot(gt)
}
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