mtc.network 错误“`levels<-`(`*tmp*`, value = as.character(levels)) 中的错误：因子级别 [5] 重复”

编程问答 2022-06-02

问题描述

我在这里看到了一些与我的查询类似的问题，但这些解决方案对我不起作用。我正在尝试构建网络元分析，但在调用 mtc.network 命令后遇到以下错误：

Error in `levels<-`(`*tmP*`,value = as.character(levels)) : factor level [5] is duplicated

我的数据是

library(gemtc)
library(rjags)

study<-c("Jones","Jones","Prieto","Scott","Mickle","Yang","Zhao","Zhao")
n<-c(3886,3876,218,214,2040,2014,137,683,221,230)
surv<-c(114,94,3,8,30,20,1,4,9,11,2)
treat<-c("dx1","px1","rx1","tx1","ax1","zx1","gx1","px1")

df<-data.frame(study,n,surv,treat)

network1<-mtc.network(data.ab=df,treatments=df$treat)

然后我收到这条消息

Error in `levels<-`(`*tmP*`,value = as.character(levels)) : 
  factor level [5] is duplicated

我将不胜感激这方面的任何帮助。

解决方法

该函数似乎需要以特定方式格式化数据。我们可以像示例数据集中那样更改列名，它会起作用

names(df) <- c("study","sampleSize","responders","treatment")
network <- mtc.network(df,description="Example",treatments=unique(df$treatment))
metaforrrrjags