[英]how to use survminer::ggforest to draw colourful pictures?
我想知道如何使用 survminer::ggforest 繪制彩色圖片。 目前,默認為黑白。 詳細參數我看過了,顏色主題沒有選項,只能改底層代碼。 我是新手,請幫幫我。 只要好看,最好選擇一些適合發表的顏色。 感謝您的幫助
train_ggforest<-ggforest(model = multi_variate_cox,data = train_tpm,main = 'Hazard ratios of candidate genes') )
multi_variate_cox
是coxph(formula = Surv(futime, fustat) ~ A +B +C, data = train_tpm)
答案在評論中學習編程就像學習英語。 (來自母語不是英語的大學生)
ggforest2 <-
function (model,
data = NULL,
main = "Hazard ratio",
cpositions = c(0.02,
0.22, 0.4),
fontsize = 0.7,
refLabel = "reference",
noDigits = 2)
{
conf.high <- conf.low <- estimate <- NULL
stopifnot(inherits(model, "coxph"))
data <- .get_data(model, data = data)
terms <- attr(model$terms, "dataClasses")[-1]
coef <- as.data.frame(tidy(model, conf.int = TRUE))
gmodel <- glance(model)
allTerms <- lapply(seq_along(terms), function(i) {
var <- names(terms)[i]
if (terms[i] %in% c("factor", "character")) {
adf <- as.data.frame(table(data[, var]))
cbind(var = var, adf, pos = 1:nrow(adf))
}
else if (terms[i] == "numeric") {
data.frame(
var = var,
Var1 = "",
Freq = nrow(data),
pos = 1
)
}
else {
vars = grep(paste0("^", var, "*."), coef$term, value = TRUE)
data.frame(
var = vars,
Var1 = "",
Freq = nrow(data),
pos = seq_along(vars)
)
}
})
allTermsDF <- do.call(rbind, allTerms)
colnames(allTermsDF) <- c("var", "level", "N", "pos")
inds <- apply(allTermsDF[, 1:2], 1, paste0, collapse = "")
rownames(coef) <- gsub(coef$term, pattern = "`", replacement = "")
toShow <- cbind(allTermsDF, coef[inds,])[, c("var",
"level",
"N",
"p.value",
"estimate",
"conf.low",
"conf.high",
"pos")]
toShowExp <- toShow[, 5:7]
toShowExp[is.na(toShowExp)] <- 0
toShowExp <- format(exp(toShowExp), digits = noDigits)
toShowExpClean <- data.frame(toShow, pvalue = signif(toShow[,
4], noDigits + 1), toShowExp)
toShowExpClean$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$N, ")")
toShowExpClean <- toShowExpClean[nrow(toShowExpClean):1,]
rangeb <-
range(toShowExpClean$conf.low, toShowExpClean$conf.high,
na.rm = TRUE)
breaks <- axisTicks(rangeb / 2, log = TRUE, nint = 7)
rangeplot <- rangeb
rangeplot[1] <- rangeplot[1] - diff(rangeb)
rangeplot[2] <- rangeplot[2] + 0.15 * diff(rangeb)
width <- diff(rangeplot)
y_variable <- rangeplot[1] + cpositions[1] * width
y_nlevel <- rangeplot[1] + cpositions[2] * width
y_cistring <- rangeplot[1] + cpositions[3] * width
y_stars <- rangeb[2]
x_annotate <- seq_len(nrow(toShowExpClean))
annot_size_mm <-
fontsize * as.numeric(convertX(unit(theme_get()$text$size,
"pt"), "mm"))
p <- ggplot(toShowExpClean, aes(seq_along(var), exp(estimate))) +
geom_rect(
aes(
xmin = seq_along(var) - 0.5,
xmax = seq_along(var) +
0.5,
ymin = exp(rangeplot[1]),
ymax = exp(rangeplot[2]),
fill = ordered(seq_along(var) %% 2 + 1)
)
) +
##Here are two staggered body color combinations
scale_fill_manual(values = c("#ecf0fb","#c6d4f3"), guide = "none") +
#This is the color of the squares ( risk value )
geom_point(pch = 15,size = 3,color="#fc7748") +
#This is the color of the errorbar
geom_errorbar(aes(ymin = exp(conf.low), ymax = exp(conf.high)),width = 0.15,color="#e889bd" ) +
scale_colour_distiller(palette = "Spectral")+
#This is the color setting for the risk demarcation line (set to 1 here)
geom_hline(yintercept = 1, linetype = 3,color ="red", size = 1.5) +
coord_flip(ylim = exp(rangeplot)) + ggtitle(main) + scale_y_log10(
name = "",
labels = sprintf("%g", breaks),
expand = c(0.02, 0.02),
breaks = breaks
) + theme_light() + theme(
panel.grid.minor.y = element_blank(),
panel.grid.minor.x = element_blank(),
panel.grid.major.y = element_blank(),
legend.position = "none",
panel.border = element_blank(),
axis.title.y = element_blank(),
axis.text.y = element_blank(),
axis.ticks.y = element_blank(),
plot.title = element_text(hjust = 0.5)
) +
xlab("") + annotate(
geom = "text",
x = x_annotate,
y = exp(y_variable),
label = toShowExpClean$var,
fontface = "bold",
hjust = 0,
size = annot_size_mm
) + annotate(
geom = "text",
x = x_annotate,
y = exp(y_nlevel),
hjust = 0,
label = toShowExpClean$level,
vjust = -0.1,
size = annot_size_mm
) + annotate(
geom = "text",
x = x_annotate,
y = exp(y_nlevel),
label = toShowExpClean$N,
fontface = "italic",
hjust = 0,
vjust = ifelse(toShowExpClean$level ==
"", 0.5, 1.1),
size = annot_size_mm
) + annotate(
geom = "text",
x = x_annotate,
y = exp(y_cistring),
label = toShowExpClean$estimate.1,
size = annot_size_mm,
vjust = ifelse(toShowExpClean$estimate.1 ==
"reference", 0.5,-0.1)
) + annotate(
geom = "text",
x = x_annotate,
y = exp(y_cistring),
label = toShowExpClean$ci,
size = annot_size_mm,
vjust = 1.1,
fontface = "italic"
) +
annotate(
geom = "text",
x = x_annotate,
y = exp(y_stars),
label = toShowExpClean$stars,
size = annot_size_mm,
hjust = -0.2,
fontface = "italic"
) + annotate(
geom = "text",
x = 0.5,
y = exp(y_variable),
label = paste0(
"# Events: ",
gmodel$nevent,
"; Global p-value (Log-Rank): ",
format.pval(gmodel$p.value.log,
eps = ".001"),
" \nAIC: ",
round(gmodel$AIC,
2),
"; Concordance Index: ",
round(gmodel$concordance,
2)
),
size = annot_size_mm,
hjust = 0,
vjust = 1.2,
fontface = "italic"
) +theme(text = element_text(family = "Times"))
gt <- ggplot_gtable(ggplot_build(p))
gt$layout$clip[gt$layout$name == "panel"] <- "off"
ggpubr::as_ggplot(gt)
}
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