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r - 在 R 中使用 ifelse 和 grepl 进行变异并创建具有匹配字符串的新列

转载 作者:行者123 更新时间:2023-12-04 02:57:14 25 4
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我正在尝试使用 grepl(部分匹配)和 ifelse 使用 mutate 创建新列。我有带单位的药物名称列表,我想用这些单位创建新列。这是我的药物名称示例,

 Description
ZOLEDRONIC ACID INF 4MG/5ML (5ML)
CALCICHEW D3 FORTE CHEWABLE TABS
DAYCASE DRUGS
AKYNZEO (NETUPITANT/PALONOSETRON) HARD CAPS 300MG/0.5MG
CYCLOPHOSPHAMIDE INF 1MG/ML
EPIRUBICIN INJ 1MG/ML
DAYCASE DRUGS
DAYCASE DRUGS
ALOXI (PALONOSETRON) INJ 250MCG
PACLITAXEL INF 1MG/ML
DEXAMETHASONE VIAL 6.6MG/2ML - USE PSD742
PACLITAXEL INF 1MG/ML
RAMUCIRUMAB INF 0.1MG - 100MG

这是我试过的代码,

units <- c("TABS","INF","SYR","CAPS","INJ","VIAL","SOL","POWDER","GEL","CREAM","LOTION","AMP"," SINGLEJECT","PFS")

drug_name <- drug_name %>% mutate(unit = grepl(paste(units,collapse = "|"),Description))

当前输出是这样的,

Description                                 unit
ZOLEDRONIC ACID INF 4MG/5ML (5ML) TRUE
CALCICHEW D3 FORTE CHEWABLE TABS TRUE
DAYCASE DRUGS FALSE
AKYNZEO (NETUPITANT/PALONOSETRON) CAPS TRUE
CYCLOPHOSPHAMIDE INF 1MG/ML TRUE
EPIRUBICIN INJ 1MG/ML TRUE
DAYCASE DRUGS FALSE
DAYCASE DRUGS FALSE

我不想要 TRUE/FALSE 中的单位,而是应该指定确切的单位,像这样,

        ZOLEDRONIC ACID INF 4MG/5ML (5ML)       INF
CALCICHEW D3 FORTE CHEWABLE TABS TABS

我正在尝试重新编码,但不知道该怎么做。此外,我需要将药物名称 (4MG/5ML) 中的指标提取到单独的列中。我可以在另一个查询中执行此操作,但需要使用 unit 进行单个查询。不是所有的药物都有这种格式,有些像这样 --> 01.MG-100MG,250MCG。

            ZOLEDRONIC ACID INF 4MG/5ML (5ML)       INF    4MG/5ML
CALCICHEW D3 FORTE CHEWABLE TABS TABS NA
CYCLOPHOSPHAMIDE INF 1MG/ML INF 1MG/ML
ALOXI (PALONOSETRON) INJ 250MCG INF 250MCG

谁能帮我解决这个问题?

最佳答案

这是使用 dplyrpurrr 的一种方法。

library(dplyr)
library(purrr)
drug_name <- data_frame(
Description = trimws(readLines(textConnection('ZOLEDRONIC ACID INF 4MG/5ML (5ML)
CALCICHEW D3 FORTE CHEWABLE TABS
DAYCASE DRUGS
AKYNZEO (NETUPITANT/PALONOSETRON) HARD CAPS 300MG/0.5MG
CYCLOPHOSPHAMIDE INF 1MG/ML
EPIRUBICIN INJ 1MG/ML
DAYCASE DRUGS
DAYCASE DRUGS
ALOXI (PALONOSETRON) INJ 250MCG
PACLITAXEL INF 1MG/ML
DEXAMETHASONE VIAL 6.6MG/2ML - USE PSD742
PACLITAXEL INF 1MG/ML
RAMUCIRUMAB INF 0.1MG - 100MG')))
)
units <- c("TABS","INF","SYR","CAPS","INJ","VIAL","SOL","POWDER",
"GEL","CREAM","LOTION","AMP","SINGLEJECT","PFS")
units1 <- sprintf("\\b(%s)\\b", paste(units, collapse = "|"))

首先,演练和概念验证:

m <- regmatches(drug_name$Description,
gregexpr(paste0(units1, ".*"), drug_name$Description))
m
# [[1]]
# [1] "INF 4MG/5ML (5ML)"
# [[2]]
# [1] "TABS"
# [[3]]
# character(0)
# [[4]]
# [1] "CAPS 300MG/0.5MG"
# [[5]]
# [1] "INF 1MG/ML"
# [[6]]
# [1] "INJ 1MG/ML"
# [[7]]
# character(0)
# [[8]]
# character(0)
# [[9]]
# [1] "INJ 250MCG"
# [[10]]
# [1] "INF 1MG/ML"
# [[11]]
# [1] "VIAL 6.6MG/2ML - USE PSD742"
# [[12]]
# [1] "INF 1MG/ML"
# [[13]]
# [1] "INF 0.1MG - 100MG"

我使用 .*“获取所有后续信息”以找到单位的数量。这有时会得到比我们想要的更多的信息,但为了在一个单元之后找到所有类似值的词,我们需要全部抓取然后过滤。

我们需要防范 character(0) 并理想地转换为向量,所以

fixEmpties <- function(lst, default=NA_character_)
unlist(replace(lst, lengths(lst) == 0L, default))

尽管您可能更喜欢使用空字符串 "" 而不是 NA_character_

要进行过滤,这里有一个快速函数,可以在以下每个“单词”中查找任何数字。它还允许单独的 "-",但如果它是最后一个匹配项,则将其删除。

extractAmounts <- function(s, default=NA_character_) {
vec <- strsplit(s, "\\s+")[[1]][-1]
vec2 <- which(cumall(grepl("[0-9]", vec) | vec == "-"))
if (isTRUE(length(vec2) > 0)) {
# remove a trailing "-" that does not result in a range
if (vec[ tail(vec2, 1) ] == "-") vec2 <- vec2[-length(vec2)]
return(paste(vec[vec2], collapse = " "))
} else return(default)
}

快速获得原始单位,始终是第一个词。

extractUnits <- function(s)
head(strsplit(s, "\\s+")[[1]], 1)

测试:

m <- fixEmpties(m)
sapply(m, extractUnits, USE.NAMES=FALSE)
# [1] "INF" "TABS" NA "CAPS" "INF" "INJ" NA NA "INJ" "INF"
# [11] "VIAL" "INF" "INF"
sapply(m, extractAmounts, USE.NAMES=FALSE)
# [1] "4MG/5ML (5ML)" NA NA "300MG/0.5MG"
# [5] "1MG/ML" "1MG/ML" NA NA
# [9] "250MCG" "1MG/ML" "6.6MG/2ML" "1MG/ML"
# [13] "0.1MG - 100MG"

好的,现在将其放入管道中:

drug_name %>%
mutate(
full = fixEmpties(regmatches(Description, gregexpr(paste0(units1, ".*"), Description))),
unit = map_chr(full, extractUnits),
amt = map_chr(full, extractAmounts)
) %>%
select(-full)
# # A tibble: 13 x 3
# Description unit amt
# <chr> <chr> <chr>
# 1 ZOLEDRONIC ACID INF 4MG/5ML (5ML) INF 4MG/5ML (5ML)
# 2 CALCICHEW D3 FORTE CHEWABLE TABS TABS <NA>
# 3 DAYCASE DRUGS <NA> <NA>
# 4 AKYNZEO (NETUPITANT/PALONOSETRON) HARD CAPS 300MG/0.5MG CAPS 300MG/0.5MG
# 5 CYCLOPHOSPHAMIDE INF 1MG/ML INF 1MG/ML
# 6 EPIRUBICIN INJ 1MG/ML INJ 1MG/ML
# 7 DAYCASE DRUGS <NA> <NA>
# 8 DAYCASE DRUGS <NA> <NA>
# 9 ALOXI (PALONOSETRON) INJ 250MCG INJ 250MCG
# 10 PACLITAXEL INF 1MG/ML INF 1MG/ML
# 11 DEXAMETHASONE VIAL 6.6MG/2ML - USE PSD742 VIAL 6.6MG/2ML
# 12 PACLITAXEL INF 1MG/ML INF 1MG/ML
# 13 RAMUCIRUMAB INF 0.1MG - 100MG INF 0.1MG - 100MG

关于r - 在 R 中使用 ifelse 和 grepl 进行变异并创建具有匹配字符串的新列,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/52427265/

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