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R-删除权重框中元包中的森林图

meta-analysis forestplot meta r

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branwen85 · 技术社区 · 2 年前

我对10项研究进行了荟萃分析,现在正在森林图上绘制结果。然而,我遇到了一个令人讨厌的特点,即SE很小(在重量框内)的研究结果变成了白色,而且似乎不符合颜色研究的论点。还有其他办法绕过这个吗? 如果有必要的话,我不介意完全减掉重量箱,因为重量几乎相同。

df<-data.frame(study=c('s1','s2','s3','s4','s5','s6','s7','s8','s9','s10'),
SMD=c(0.016416141,0.299488949,0.024292283,0.110415656 ,0.160754906,-0.018112735,0.027915812,-0.025253501,-0.024464375,0.001146802),
se=c(0.013495131,0.021345836,0.010902911,0.006237354,0.014503043,0.012365650,0.009825055,0.006861558,0.018569984,0.021838104))

## Run meta-analysis
m.gen <- metagen(TE = SMD,
                 seTE = se,
                 studlab = study,
                 data = df,
                 sm = "SMD",
                 fixed = FALSE,
                 random = TRUE,
                 method.tau = "REML",
                 hakn = FALSE,
                 prediction = TRUE,
                 title = "Test")
    
## Plot forest plot
forest.meta(m.gen, 
            sortvar = TE,
            prediction = TRUE, 
            print.tau2 = FALSE,
            smlab="Test",
            print.I2=FALSE,
            print.I2.ci=FALSE,
            col.study='black'
            
)

1 回复 | 直到 2 年前

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Allan Cameron 2 年前

从…起 ?forest.meta

col.inside -如果置信极限完全在正方形内,则单个研究结果和置信极限的颜色。

因此,解决方案是 col.inside = "black"

forest.meta(m.gen, 
            sortvar = TE,
            prediction = TRUE, 
            print.tau2 = FALSE,
            smlab = "Test",
            print.I2 = FALSE,
            print.I2.ci = FALSE,
            col.study = 'black',
            col.inside = "black"
)