将减法结果限制为最小零 [英] Limit result of subtraction to a minimum of zero

问题描述

我有一个向量'x'，其值的范围是0到1，例如 x<-c(0，0.5.1).我要从"x"中减去0.5:

I have a vector 'x' where values ranges from 0 to 1, e.g. x <- c(0, 0.5. 1). I'm subtracting, say, 0.5 from 'x':

x - 0.5

x-0.5 的结果范围为-0.5至0.5.但是，我想将结果的最小值限制为0，即新范围将为0.5到0，任何以前为负的数字现在都将强制为0.

The result of x - 0.5 will range from -0.5 to 0.5. However, I want to constrain the minimum of the result to 0, i.e. the new range will be 0.5 to 0, any previously negative numbers will now be coerced to 0.

有没有简单的方法可以做到这一点?我一直在寻找约束"和限制"等等.我想我可以用 if 或过滤将其变形，但是我希望有一个优雅的功能没有出现在我的搜索中.

Is there a simple way of doing this? I've looked for "constrain" and "limit" and such. I assume I could probably bash it into shape with if or filtering but I was hoping there was an elegant function that hasn't surfaced in my searches.

推荐答案

请参见?pmax .

pmax(0, x - 0.5)

即选择较大的那个-如果 x<则为零.0.5 .

I.e. pick whichever is larger -- that would be zero if x < 0.5.

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