Azure/R-server-rxKmeans写入文件时没有头

我正在Azure/R-server中进行kmeans群集，需要能够编写一个没有头的文件

到目前为止，我已经尝试：

k1 <- rxKmeans(formula = ~ var1 + var2 + var3, data = df, seed = 10, numClusters = 5
               , outFile = dfOut, extraVarsToWrite = c('CUST_ID'), overwrite = T
                , outColName = F
)

我也试过：

k1 <- rxKmeans(formula = ~ var1 + var2 + var3, data = df, seed = 10, numClusters = 5
               , outFile = dfOut, extraVarsToWrite = c('CUST_ID'), overwrite = T
                , header = F
)

---

还有其他建议吗？

问题是我在文件定义和rxKmeans函数中给出了相互冲突的指令

我通过从rxKmeans函数中省略

header

参数并将

firstRowIsColNames

设置为FALSE来修复它

kmeansFile <- paste('~/clusters/ClusterOutput.tsv', sep = '')
dfOut <- RxTextData(kmeansFile, fileSystem = hdfsFS, firstRowIsColNames = F)

k1 <- rxKmeans(formula = ~ var1 + var2 + var3, data = df, seed = 10, numClusters = 5
               , outFile = dfOut, extraVarsToWrite = c('id_num'), overwrite = T
               # , outColName = F
               # , header = F
)

---

kmeansFile为什么添加Azure data lake标记？@MichaelRys:输出的目标是Azure data lake。
Error in rxuHandleClusterJobTryFailure(retObject, hpcServerJob, autoCleanup) : 
  Error completing job on cluster:
Error in rxKmeansBase(formula = formula, data = data, outDataSource = outDataSource,  : 
  unused argument (header = FALSE)

kmeansFile <- paste('~/clusters/ClusterOutput.tsv', sep = '')
dfOut <- RxTextData(kmeansFile, fileSystem = hdfsFS, firstRowIsColNames = F)

k1 <- rxKmeans(formula = ~ var1 + var2 + var3, data = df, seed = 10, numClusters = 5
               , outFile = dfOut, extraVarsToWrite = c('id_num'), overwrite = T
               # , outColName = F
               # , header = F
)