ggplot和plot如何处理inf值? [英] How do ggplot and plot handle inf values differently?

问题描述

我正在努力理解为什么 ggplot 和 plot 会生成相同数据的略有不同的图. ggplot 首先包含inf值，而 plot 不包含inf值.

I am struggling to understand why ggplot and plot are producing slightly different plots of the same data. ggplot is including inf values up top, while plot isn't.

with(geneFDR, plot(log2(FC), -log10(FDR), pch=20, main="FDR vs. Real FC",
col=geneFDR$FDRColor))

ggplot(data=geneFDR, aes(x=log2(FC), y=-log10(FDR), color=FDRFCthreshold)) +
  geom_point(alpha=0.4, size=1.75) +
  ggtitle("FDR vs. Real Fold Change") +
  xlab("log2 Real Fold Change") + ylab("-log10(FDR)")

inf值的来源:

min(geneFDR$FDR)
[1] 0
max(geneFDR$FDR)
[1] 0.009883703

min(-log10(geneFDR$FDR))
[1] 2.00508
max(-log10(geneFDR$FDR))
[1] Inf

默认的 plot 函数处理inf值与 ggplot 的方法有何不同?

How is the default plot function handling inf values differently than ggplot?

推荐答案

尝试

scale_y_continuous(oob=scales::discard)

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