我需要创建一个高分辨率的森林图。我使用了来自library(forestplot)的forestplot()函数来创建我的绘图,然后尝试使用tiff()函数来创建高分辨率图像以进行发布。但是,我的图像变成空白。
如果我直接从R导出但没有达到应有的高分辨率,则可以使用。
library(forestplot)
df <- structure(list(
mean = c(NA, 0.22, 0.20, 0.27),
lower = c(NA, 0.05, 0.04, 0.01),
upper = c(NA, 0.95, 1.08, 9.12)),
.Names = c("mean", "lower", "upper"),
row.names = c(NA, -4L),
class = "data.frame")
tabletext <- cbind(
c("", "Pooled", "Group 1", "Group 2"),
c("N", "4334", "3354", "980"),
c("HR (95% CI)", "0.22 (0.05, 0.95)", "0.20 (0.04, 1.08)", "0.27 (0.01, 9.12)"),
c("p-value", "0.042", "0.061", "0.467")
)
ggfp <- forestplot(tabletext,
df,
new_page = TRUE,
is.summary = c(TRUE, rep(FALSE, 3)),
clip = c(0, 2),
colgap = unit(5, "mm"),
line.margin = unit(2, "mm"),
lineheight = unit(1, "in"),
txt_gp = fpTxtGp(label = gpar(cex = 1),
ticks = gpar(cex = 1)),
align = c("l", "c", "c", "c"),
boxsize = 0.2,
xticks = seq(0, 2.0, 0.5),
zero = 1,
col = fpColors(box = "royalblue",
line = "darkblue"),
mar = unit(c(-1, 0.5, -2, 0.5), "in"))
tiff("forestplot.tiff", units = "in", width = 9, height = 7, res = 300)
ggfp
dev.off()
文件已创建,但页面为空白
答案 0 :(得分:1)
这对我有用(输出文件为17MB):
library(forestplot)
setwd("/path/to/directory/for/plot")
df <- structure(list(
mean = c(NA, 0.22, 0.20, 0.27),
lower = c(NA, 0.05, 0.04, 0.01),
upper = c(NA, 0.95, 1.08, 9.12)),
.Names = c("mean", "lower", "upper"),
row.names = c(NA, -4L),
class = "data.frame")
tabletext <- cbind(
c("", "Pooled", "Group 1", "Group 2"),
c("N", "4334", "3354", "980"),
c("HR (95% CI)", "0.22 (0.05, 0.95)", "0.20 (0.04, 1.08)", "0.27 (0.01, 9.12)"),
c("p-value", "0.042", "0.061", "0.467")
)
tiff("forestplot.tiff", units = "in", width = 9, height = 7, res = 300)
forestplot(tabletext,
df,
new_page = TRUE,
is.summary = c(TRUE, rep(FALSE, 3)),
clip = c(0, 2),
colgap = unit(5, "mm"),
line.margin = unit(2, "mm"),
lineheight = unit(1, "in"),
txt_gp = fpTxtGp(label = gpar(cex = 1),
ticks = gpar(cex = 1)),
align = c("l", "c", "c", "c"),
boxsize = 0.2,
xticks = seq(0, 2.0, 0.5),
zero = 1,
col = fpColors(box = "royalblue",
line = "darkblue"),
mar = unit(c(-1, 0.5, -2, 0.5), "in"))
dev.off()