rowMeans(results, na.rm = T) 错误：'x' 必须是至少二维的数组

Question

我正在尝试按照 this site 中的一些 R 代码示例进行操作，但出现了如下所示的错误。

>Results = RS_simulation(sims=5, params=params, budget=3000, designtype = "one factor", nmax = 20, nmin = 5, program="DESeq")
    [1] "DESeq"
> plot(rownames(results),rowMeans(results, na.rm=T), main="DESeq simulations on Bottomly Dataset", xlab = "number of replicates", ylab = "Power")
    Error in rowMeans(results, na.rm = T) : 
      'x' must be an array of at least two dimensions

我也试过这个命令，但是得到这个：

> plot(rownames(results),rowMeans(results[, na.rm=T, drop=FALSE]), main="DESeq simulations on Bottomly Dataset", xlab = "number of replicates", ylab = "Power", drop=FALSE)
Error in results[, na.rm = T, drop = FALSE] : 
  object of type 'closure' is not subsettable

有什么帮助吗？总是努力在 R

上变得更好

Answer 1

在您最初的赋值语句中，您将 RS_simulation() 调用的输出保存到一个名为 Results 的变量中，然后您尝试从 results 中绘制内容。 R 区分大小写 - 大小写一致，您应该可以开始了。

rowMeans(results, na.rm = T) 错误：'x' 必须是至少二维的数组

Error in rowMeans(results, na.rm = T) : 'x' must be an array of at least two dimensions

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