ers*_*san 4 regex r strsplit dataframe
我有一个这样的数据集:
Old <- data.frame(
X1= c(
"AD=17795,54;ARL=139;DEA=20;DER=20;DP=1785",
"DP=4784;AD=4753,23;ARL=123;DEA=5;DER=5",
"ARL=149;AD=30,9;DEA=25;DER=25;DP=3077",
"AD=244,49;ARL=144;DEA=7;DER=7;DP=245"
))
X1
AD=17795,54;ARL=139;DEA=20;DER=20;DP=1785
DP=4784;AD=4753,23;ARL=123;DEA=5;DER=5
ARL=149;AD=30,9;DEA=25;DER=25;DP=3077
AD=244,49;ARL=144;DEA=7;DER=7;DP=245
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我想提取“;” AD=xxx,xx 的单独值比添加到新列:所需的输出是:
X1 X2
AD=17795,54;ARL=139;DEA=20;DER=20;DP=1785 17795,54
DP=4784;AD=4753,23;ARL=123;DEA=5;DER=5 4753,23
ARL=149;AD=30,9;DEA=25;DER=25;DP=3077 30,9
AD=244,49;ARL=144;DEA=7;DER=7;DP=245 244,49
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我试过了:
Old$X2<-mapply(
function(x, i) x[i],
strsplit(X1, ";"),
lapply(strsplit(X1, ";"), function(x) which(x == "AD="))
)
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我认为这也可以帮助你:
AD=字符,然后重置报告匹配的起点\\K,它告诉正则表达式引擎AD=从那时起再次删除并开始匹配模式Old$X2 <- regmatches(Old$X1, gregexpr("(AD=)\\K[0-9,.]+(?=;)", Old$X1, perl = TRUE))
Old
X1 X2
1 AD=17795,54;ARL=139;DEA=20;DER=20;DP=1785 17795,54
2 DP=4784;AD=4753,23;ARL=123;DEA=5;DER=5 4753,23
3 ARL=149;AD=30,9;DEA=25;DER=25;DP=3077 30,9
4 AD=244,49;ARL=144;DEA=7;DER=7;DP=245 244,49
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这是一个tidyverse分成5列的解决方案
library(tidyverse)
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Old <- data.frame(
X1= c(
"AD=17795,54;ARL=139;DEA=20;DER=20;DP=1785",
"DP=4784;AD=4753,23;ARL=123;DEA=5;DER=5",
"ARL=149;AD=30,9;DEA=25;DER=25;DP=3077",
"AD=244,49;ARL=144;DEA=7;DER=7;DP=245"
))
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Old %>%
# Creating 5 columns based on the separator ";"
separate(col = X1,sep = ";", into = paste0("v",1:5)) %>%
# Pivotting data
pivot_longer(cols = everything()) %>%
# Separating the value column based on the separator "="
separate(value,into = c("var","value"),sep = "=") %>%
select(-name) %>%
pivot_wider(names_from = var,values_from = value) %>%
unnest()
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# A tibble: 4 x 5
AD ARL DEA DER DP
<chr> <chr> <chr> <chr> <chr>
1 17795,54 139 20 20 1785
2 4753,23 123 5 5 4784
3 30,9 149 25 25 3077
4 244,49 144 7 7 245
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