r - 将单行数据拆分为多行

Question

我有一组数据，其中有 3k 位作者的共同作者。我有包含Sender 和Receiver(或Source 和Target)的列以及包含Journal name 的列 和出版年份。如果一些作者有不止一篇共同文章，结果将在一行中以逗号分隔。我要做的是将这些行分成多行。 data.frame - my GitHub repository

例如:

HALL M,DE JONG GF, "['GRAEFE DR 2008 INTERNATIONAL MIGRATION REVIEW', 'HALL M 2010 SOCIAL SCIENCE RESEARCH']"

我需要像这样拆分最后一列:

HALL M,DE JONG GF, GRAEFE DR 2008 INTERNATIONAL MIGRATION REVIEW
HALL M,DE JONG GF, HALL M 2010 SOCIAL SCIENCE RESEARCH

我听说我需要用 R 编写一个简单的循环，但我不知道它应该是什么样子。

编辑我的数据输出，前 20 行:

> dput(head(temp,n=20))
structure(list(Source = c("HUMPHREY CR", "HUMPHREY CR", "HUMPHREY CR", 
"SELL RR", "SELL RR", "SELL RR", "GARDNER RW", "GARDNER RW", 
"GARDNER RW", "GARDNER RW", "GARDNER RW", "GARDNER RW", "GARDNER RW", 
"GARDNER RW", "FAWCETT JT", "FAWCETT JT", "FAWCETT JT", "FAWCETT JT", 
"FAWCETT JT", "FAWCETT JT"), Target = c("SELL RR", "GILLASPY RT", 
"KROUT JA", "GILLASPY RT", "KROUT JA", "DEJONG GF", "FAWCETT JT", 
"ARNOLD F", "CARINO BV", "ROOT BD", "DEJONG G", "ABAD RG", "DEJONG GF", 
"BOUVIER LF", "ARNOLD F", "PARK IH", "CARINO BV", "ROOT BD", 
"DEJONG G", "ABAD RG"), Type = c("Undirected", "Undirected", 
"Undirected", "Undirected", "Undirected", "Undirected", "Undirected", 
"Undirected", "Undirected", "Undirected", "Undirected", "Undirected", 
"Undirected", "Undirected", "Undirected", "Undirected", "Undirected", 
"Undirected", "Undirected", "Undirected"), Id = c(2386L, 2385L, 
2384L, 3635L, 3634L, 3636L, 401L, 397L, 398L, 399L, 403L, 396L, 
400L, 402L, 598L, 602L, 601L, 604L, 605L, 597L), Label = c(NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA), Weight = c(1, 1, 1, 1, 1, 1, 3, 2, 2, 1, 1, 2, 2, 
1, 3, 1, 2, 1, 1, 2), ayjid = c("['HUMPHREY CR 1977 RURAL SOCIOLOGY']", 
"['HUMPHREY CR 1977 RURAL SOCIOLOGY']", "['HUMPHREY CR 1977 RURAL SOCIOLOGY']", 
"['HUMPHREY CR 1977 RURAL SOCIOLOGY']", "['HUMPHREY CR 1977 RURAL SOCIOLOGY']", 
"['SELL RR 1978 JOURNAL OF POPULATION']", "['DEJONG GF 1983 INTERNATIONAL MIGRATION REVIEW', 'DEJONG G 1986 POPULATION AND ENVIRONMENT', 'FAWCETT JT 1994 POPULATION AND ENVIRONMENT']", 
"['DEJONG GF 1983 INTERNATIONAL MIGRATION REVIEW', 'GARDNER RW 1986 POPULATION AND ENVIRONMENT']", 
"['DEJONG GF 1983 INTERNATIONAL MIGRATION REVIEW', 'GARDNER RW 1986 POPULATION AND ENVIRONMENT']", 
"['DEJONG G 1986 POPULATION AND ENVIRONMENT']", "['DEJONG G 1986 POPULATION AND ENVIRONMENT']", 
"['DEJONG GF 1983 INTERNATIONAL MIGRATION REVIEW', 'DEJONG G 1986 POPULATION AND ENVIRONMENT']", 
"['DEJONG GF 1983 INTERNATIONAL MIGRATION REVIEW', 'GARDNER RW 1986 POPULATION AND ENVIRONMENT']", 
"['BOUVIER LF 1986 POPULATION BULLETIN']", "['DEJONG GF 1983 INTERNATIONAL MIGRATION REVIEW', 'ARNOLD F 1989 INTERNATIONAL MIGRATION REVIEW', 'FAWCETT JT 1987 INTERNATIONAL MIGRATION REVIEW']", 
"['ARNOLD F 1989 INTERNATIONAL MIGRATION REVIEW']", "['DEJONG GF 1983 INTERNATIONAL MIGRATION REVIEW', 'ARNOLD F 1989 INTERNATIONAL MIGRATION REVIEW']", 
"['DEJONG G 1986 POPULATION AND ENVIRONMENT']", "['DEJONG G 1986 POPULATION AND ENVIRONMENT']", 
"['DEJONG GF 1983 INTERNATIONAL MIGRATION REVIEW', 'DEJONG G 1986 POPULATION AND ENVIRONMENT']"
)), .Names = c("Source", "Target", "Type", "Id", "Label", "Weight", 
"ayjid"), row.names = c(NA, 20L), class = "data.frame")

Answer 1

尝试以下:

s <- strsplit(gsub("\\[|\\]|\\'","",df$ayjid),", ",fixed = TRUE)
res <- data.frame(Id = rep(df$Id, lengths(s)), result = unlist(s))

merge(df,res)