[英]Using cut2 in Hmisc package for large N
It seems that for large N
(say 2e6
) the cut2
function in the Hmisc
package throws an error似乎对于大
N
(比如2e6
), Hmisc
包中的cut2
函数会引发错误
y = cut2(rnorm(2000000,0,1),m=sqrt(2000000))
Error in if (cj == upper) next : missing value where TRUE/FALSE needed
In addition: Warning message:
In (1:g) * nnm : NAs produced by integer overflow
I'm trying to obtain quantiles of my data, with m
points in each quantile, and also record endpoints of each quantile.我正在尝试获取数据的分位数,每个分位数中有
m
个点,并记录每个分位数的端点。 cut2
does this, but not very well for large N
. cut2
这样做,但对于大N
不是很好。 Are there better alternatives?有更好的选择吗?
Is this what you want?这是你想要的吗?
cut3 = function(x, m) {
p = seq(0, 1, by = m / length(x))
q = quantile(x, probs = p, names = F)
result = cut(x, breaks = q)
}
Testing it out:测试一下:
x = rnorm(2e6)
m = sqrt(2e6)
qq = cut3(x, m)
summary(as.numeric(table(qq)))
# Min. 1st Qu. Median Mean 3rd Qu. Max.
# 1414 1414 1414 1414 1414 1415
head(qq)
# [1] (0.4757,0.4779] (-1.021,-1.018] (0.4325,0.4344] (1.376,1.381] (-2.156,-2.138] (0.1215,0.1233]
# 1414 Levels: (-4.964,-3.196] (-3.196,-2.981] (-2.981,-2.86] (-2.86,-2.766] (-2.766,-2.696] (-2.696,-2.637] ... (3.145,3.607]
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