R中的TRUE / FALSE结果(TRUE/FALSE outcome in R)

R中的TRUE / FALSE结果(TRUE/FALSE outcome in R)

我有以下矢量：

A <- c(8.4, 9.5, 8.1) B <- c(NA,NA,NA)

我希望R执行以下操作：如果列A中的值小于8.5，或者列B中的值小于8，则写入“TRUE”，否则写入“FALSE”。

我尝试了以下内容：

C <- (A <8.5 | B <8)

我期待以下内容：TRUE，FALSE，TRUE

但结果是：

> C # [1] TRUE NA TRUE

很显然，当R看到A在第二个变量中不小于8.5时，它就到达了B，当有NA时，它将NA写为输出。

你有什么建议可以避免这种情况吗？

I have following vectors:

A <- c(8.4, 9.5, 8.1) B <- c(NA,NA,NA)

I wanted R to do the following: if in column A the values are less than 8.5 or in column B values are less than 8 to write "TRUE", otherwise write "FALSE".

I tried the following:

C <- (A <8.5 | B <8)

I was expecting the following: TRUE, FALSE, TRUE

But the outcome was:

> C # [1] TRUE NA TRUE

Obviously when the R saw that A was not less than 8.5 in the second variable it went to B and when there was NA it wrote NA as an output.

Do you have any suggestions how I can avoid this?

最满意答案

使用isTRUE ：

isTRUE( FALSE | NA) [1] FALSE

使用“C”作为变量名是不明智的，因为“c”和“C”都是（不同的）R函数。 但以你的榜样：

> sapply(C, isTRUE) [1] TRUE FALSE TRUE

Use isTRUE:

isTRUE( FALSE | NA) [1] FALSE

It is unwise to use "C" as a variable name because both "c" and "C" are (different) R functions. But with your example:

> sapply(C, isTRUE) [1] TRUE FALSE TRUE