如何从置信区间字符串中提取数值格式的下限和上限？

Question

假设一个向量包含如下的置信区间

confint <- c("[0.741 ; 2.233]", "[263.917 ; 402.154]", "[12.788 ; 17.975]", "[0.680 ; 2.450]", "[0.650 ; 1.827]", "[0.719 ; 2.190]")

我想要两个新的向量，一个包括数值格式的下限，如

lower <- c(0.741, 263.917, 12.788, 0.680, 0.650 , 0.719)

并包括数值格式的上限，如

upper <- c(2.233, 402.154, 17.975, 2.450, 1.827, 2.190)

Answer 1

基R解

lower =  as.numeric(sub(".*?(\\d+\\.\\d+).*", "\\1", confint))
upper =  as.numeric(sub(".*\\b(\\d+\\.\\d+).*", "\\1", confint))

lower
[1]   0.741 263.917  12.788   0.680   0.650   0.719
upper
[1] 2.233 402.154  17.975   2.450   1.827   2.190

Answer 2

mypattern <- '\\[(\\d+\\.\\d+) ; (\\d+\\.\\d+)\\]'
as.numeric(gsub(mypattern, '\\1', confint))
as.numeric(gsub(mypattern, '\\2', confint))

Answer 3

另一种base R可能是：

sapply(strsplit(confint, " ; ", fixed = TRUE), function(x) gsub("[^0-9.-]+", "\\1", x) [1])
sapply(strsplit(confint, " ; ", fixed = TRUE), function(x) gsub("[^0-9.-]+", "\\1", x) [2])

[1] "0.741"   "263.917" "12.788"  "0.680"   "0.650"   "0.719"  
[1] "2.233"   "402.154" "17.975"  "2.450"   "1.827"   "2.190" 

如果您需要它作为一个数字向量：

sapply(strsplit(confint, " ; ", fixed = TRUE), function(x) as.numeric(gsub("[^0-9.-]+", "\\1", x)) [1])
sapply(strsplit(confint, " ; ", fixed = TRUE), function(x) as.numeric(gsub("[^0-9.-]+", "\\1", x)) [2])