我是 R 新手，创建了一个森林/区间图，并在图旁边包含了一个表格，其中包含我的置信区间和风险比。我的问题是 RR 和 CI 与绘图上的水平网格线不完全对齐。我尝试使用此处所示的拼凑解决方案，但这似乎对我不起作用：grid.arrange：更改位置表值以与 R 中的森林图对齐 https://stackoverflow.com/questions/72993923/grid-arrange-change-location-table-values-to-align-with-forest-plot-in-r
任何帮助表示赞赏。
#read in packages
library(dplyr)
library(ggplot2)
tester <- data.frame(
treatmentgroup = c("TreatmentA","TreatmentB","TreatmentC","TreatmentD","TreatmentE","TreatmentF", "TreatmentA","TreatmentB","TreatmentC","TreatmentD","TreatmentE","TreatmentF"),
rr = c(1.12, 1.9, 1.05, 0.76, 1.5, 1.11, 1.67, 0.78, 2.89, 3.2, 1.33, 1.29),
low_ci = c(0.71, 0.76, 0.78, 0.48, 0.91, 0.73, 1, 0.34, 0.75, 1, 1.18, 0.18),
up_ci = c(1.6, 1.7, 2.11, 1.4, 1.5, 1.7, 2.6, 3.1, 9.3, 9.4, 1.9, 2),
RR_ci = c("1.12 (0.71, 1.6)","1.9 (0.76, 1.7)","1.05 (0.78, 2.1)","0.76 (0.48, 1.4)","1.5 (0.91, 1.5)","1.11 (0.73, 1.7)",
"1.67 (1, 2.6)","0.78 (0.34, 3.1)","2.89 (0.75, 9.3)","3.2 (1, 9.4)","1.33 (1.18, 1.9)","1.29 (0.18, 2)"),
ci = c("0.71, 1.6",
"0.76, 1.7",
"0.78, 2.1",
"0.48, 1.4",
"0.91, 1.5",
"0.73, 1.7",
"1, 2.6",
"0.34, 3.1",
"0.75, 9.3",
"1, 9.4",
"1.18, 1.9",
"0.18, 2"),
X = c("COPD", "COPD","COPD","COPD","COPD","COPD", "Cancer", "Cancer","Cancer","Cancer","Cancer","Cancer"),
no=c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
)
# Reduce the opacity of the grid lines: Default is 255
col_grid <- rgb(235, 235, 235, 100, maxColorValue = 255)
forest = ggplot(data=tester,
aes(x = treatmentgroup,y = rr, ymin = low_ci, ymax = up_ci ))+
geom_pointrange(aes(col=treatmentgroup))+
geom_hline(yintercept =1, colour='red')+
xlab('Treatment')+ ylab("RR (95% Confidence Interval)")+
geom_errorbar(aes(ymin=low_ci, ymax=up_ci,col=treatmentgroup),width=0,cex=1)+
facet_wrap(~X,strip.position="top",nrow=9,scales = "free_y") +
list(theme_classic()+
theme(panel.background = element_blank(),strip.background = element_rect(colour=NA, fill=NA),
strip.placement = "outside",
strip.text.y = element_text( face="bold", size=12),
panel.grid.major.y = element_line(colour=col_grid, size=0.5),
strip.text = element_text (face="bold"),
panel.border = element_rect(fill = NA, color = "black"),
legend.position = "none",
#legend.title = element_blank(),legend.position="bottom", strip.text = element_text(face="bold", size=9),
axis.text=element_text(face="bold"),axis.title = element_text(face="bold"),
plot.title = element_text(face = "bold", hjust = 0.5,size=13)))+
coord_flip()
forest
## Create the table-base pallete
table_base <- ggplot(tester, aes(y=rr)) +
ylab(NULL) + xlab(" ") +
theme(plot.title = element_text(hjust = 0.5, size=12),
axis.text.x = element_text(color="white", hjust = 0.5, size = 25), ## This is used to help with alignment
axis.line = element_blank(),
axis.text.y = element_blank(),
axis.ticks = element_blank(),
axis.title.y = element_blank(),
legend.position = "none",
panel.background = element_blank(),
panel.border = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
plot.background = element_blank())
## RR point estimate table
tab1 <- table_base +
labs(title = "space") +
geom_text(aes(y = no, x = 1, label = sprintf("%0.1f", round(rr, digits = 1))), size = 3) + ## decimal places
ggtitle("rr")
## 95% ci table
tab2 <- table_base +
geom_text(aes(y = no, x = 1, label = ci), size = 3) +
ggtitle("95% CI")
## Merge tables with plot
lay <- matrix(c(1,1,1,1,1,1,1,1,1,1,2,3,3), nrow = 1)
grid.arrange(forest, tab1, tab2, layout_matrix = lay)
library(patchwork)
forest + tab1 + tab2 + plot_layout(widths = c(10, 1, 3))
