我有两个大数据集，df1和df2。第一个数据集df1包含列'ID'和'actual.data'。
df1 <- data.frame(ID=c(1,1,1,2,3,4,4), actual.date=c('10/01/1997','2/01/1998','5/01/2002','7/01/1999','9/01/2005','5/01/2006','2/03/2003'));
dcis <- grep('date$',names(df1));
df1[dcis] <- lapply(df1[dcis],as.Date,'%m/%d/%Y');
df1;
ID actual.date
1 1 1997-10-01
2 1 1998-02-01
3 1 2002-05-01
4 2 1999-07-01
5 3 2005-09-01
6 4 2006-05-01
7 4 2003-02-03
第二个数据集df2包含两个日期字段，'before,date'和'after。Date’，分别表示开始日期和结束日期:
df2 <- data.frame(ID=c(1,1,1,2,3,4,4,4), before.date=c('10/1/1996','1/1/1998','1/1/2000','1/1/2001','1/1/2001','1/1/2001','10/1/2004','10/3/2004'), after.date=c('12/1/1996','9/30/2003','12/31/2004','3/31/2006','9/30/2006','9/30/2005','12/30/2004','11/28/2004') );
dcis <- grep('date$',names(df2));
df2[dcis] <- lapply(df2[dcis],as.Date,'%m/%d/%Y');
df2;
ID before.date after.date
1 1 1996-10-01 1996-12-01
2 1 1998-01-01 2003-09-30
3 1 2000-01-01 2004-12-31
4 2 2001-01-01 2006-03-31
5 3 2001-01-01 2006-09-30
6 4 2001-01-01 2005-09-30
7 4 2004-10-01 2004-12-30
8 4 2004-10-03 2004-11-28
我的目标是在df1的末尾创建一个名为'match'的新列，该列指示是否'实际匹配。df1中每行的"日期"位于"之前"之间。日期和日期之后。df2中任何相同ID的观测值的日期。如果它在两者之间，我想给'match'列一个值1，否则0(包括没有'ID'匹配的实例)。
这是我希望的输出:
ID before.date match
1 1 1997-10-01 0
2 1 1998-02-01 1
3 1 2002-05-01 1
4 2 1999-07-01 0
5 3 2005-09-01 1
7 4 2006-05-01 0
8 4 2003-02-03 1
我认为这可以用for()循环来完成，但我对r不太了解。
样本数据: DF1
structure(list(cikcode = c("20", "20", "20", "20", "20", "20",
"20", "20", "20", "20", "20", "20", "20", "20", "20", "20", "20",
"20", "20", "1750"), auditorkey = c("4", "4", "5", "5", "5",
"5", "6", "6", "6", "6", "6", "6", "6", "6", "6", "6", "6", "6",
"6", "4"), yearendeddate = structure(c(4L, 4L, 2L, 2L, 3L, 3L,
5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 10L, 10L, 11L, 1L), .Label = c("2000-05-31",
"2000-12-30", "2001-12-29", "2002-12-28", "2004-01-03", "2005-01-01",
"2005-12-31", "2006-12-30", "2007-12-29", "2009-01-03", "2010-01-02"
), class = "factor"), source = structure(c(1L, 3L, 1L, 3L, 2L,
3L, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 2L), .Label = c("10-K",
"10-K405", "DEF 14A"), class = "factor"), sourcedate = structure(c(6L,
7L, 2L, 3L, 4L, 5L, 8L, 9L, 10L, 20L, 11L, 12L, 13L, 14L, 15L,
16L, 17L, 18L, 19L, 1L), .Label = c("2000-08-24", "2001-03-26",
"2001-03-28", "2002-03-20", "2002-03-25", "2003-03-27", "2003-03-31",
"2004-04-01", "2004-04-06", "2005-03-31", "2006-03-23", "2006-03-28",
"2007-03-09", "2007-03-27", "2008-03-12", "2008-04-04", "2009-03-13",
"2009-04-06", "2010-03-15", "2005-04-04"), class = "factor"),
financialsdate = structure(c(4L, 4L, 2L, 2L, 3L, 3L, 5L,
5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 10L, 10L, 11L, 1L), .Label = c("2000-05-31",
"2000-12-30", "2001-12-29", "2002-12-28", "2004-01-03", "2005-01-01",
"2005-12-31", "2006-12-30", "2007-12-29", "2009-01-03", "2010-01-02"
), class = "factor"), auditopinionkey = c("3538", "NA", "66900",
"NA", "78252", "NA", "39225", "NA", "84748", "NA", "102979",
"NA", "120889", "NA", "148621", "NA", "171604", "NA", "192814",
"156138"), auditorstatecode = structure(c(2L, NA, 2L, NA,
2L, NA, 2L, NA, 2L, NA, 2L, NA, 2L, NA, 2L, NA, 2L, NA, 2L,
1L), .Label = c("IL", "PA"), class = "factor"), auditorstatename = structure(c(2L,
NA, 2L, NA, 2L, NA, 2L, NA, 2L, NA, 2L, NA, 2L, NA, 2L, NA,
2L, NA, 2L, 1L), .Label = c("ILLINOIS", "PENNSYLVANIA"), class = "factor"),
goingconcern = structure(c(1L, NA, 1L, NA, 1L, NA, 1L, NA,
1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, 1L), .Label = "No", class = "factor"),
goingconcernissuekeylist = structure(c(1L, NA, 1L, NA, 1L,
NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, 1L
), .Label = "", class = "factor"), goingconcernissuephraselist = structure(c(1L,
NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA,
1L, NA, 1L, 1L), .Label = "", class = "factor"), isadditionalopinion = structure(c(1L,
NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA, 1L, NA,
1L, NA, 1L, 1L), .Label = "No", class = "factor"), restatement = c("NA",
"0", "NA", "0", "NA", "0", "NA", "0", "NA", "0", "NA", "0",
"NA", "0", "NA", "0", "NA", "0", "0", "NA"), yearended = c("NA",
"2002", "NA", "2000", "NA", "2001", "NA", "2003", "NA", "2004",
"NA", "2005", "NA", "2006", "NA", "2007", "NA", "2008", "2009",
"NA"), assets = c("50,459,000", "50,459,000", "54,421,000",
"54,421,000", "47,644,000", "47,644,000", "83,081,000", "83,081,000",
"93,016,000", "93,016,000", "89,110,000", "89,110,000", "140,996,000",
"140,996,000", "184,118,000", "184,118,000", "199,444,000",
"199,444,000", "204,236,000", "740,998,000"), auditfees = c("123,700",
"123,700", "200,000", "200,000", "185,000", "185,000", "137,100",
"137,100", "225,000", "225,000", "244,000", "244,000", "574,000",
"574,000", "669,000", "669,000", "680,000", "680,000", "643,000",
"NA"), auditor = c("KPMG LLP", "KPMG LLP", "Arthur Andersen LLP",
"Arthur Andersen LLP", "Arthur Andersen LLP", "Arthur Andersen LLP",
"Grant Thornton LLP", "Grant Thornton LLP", "Grant Thornton LLP",
"Grant Thornton LLP", "Grant Thornton LLP", "Grant Thornton LLP",
"Grant Thornton LLP", "Grant Thornton LLP", "Grant Thornton LLP",
"Grant Thornton LLP", "Grant Thornton LLP", "Grant Thornton LLP",
"Grant Thornton LLP", "KPMG LLP"), earnings = c("3,284,000",
"3,284,000", "5,838,000", "5,838,000", "1,048,000", "1,048,000",
"NA", "", "NA", "", "NA", "", "NA", "", "21,321,000", "21,321,000",
"25,773,000", "25,773,000", "21,555,000", "35,163,000"),
naicscode = c("334513", "334513", "334513", "334513", "334513",
"334513", "334513", "334513", "334513", "334513", "334513",
"334513", "334513", "334513", "334513", "334513", "334513",
"334513", "334513", "334613"), revenue = c("68,231,000",
"68,231,000", "84,912,000", "84,912,000", "71,819,000", "71,819,000",
"94,676,000", "94,676,000", "112,494,000", "112,494,000",
"118,940,000", "118,940,000", "148,127,008", "148,127,008",
"201,677,000", "201,677,000", "243,018,000", "243,018,000",
"190,774,000", "1,024,333,000"), siccode = c("3823", "3823",
"3823", "3823", "3823", "3823", "3823", "3823", "3823", "3823",
"3823", "3823", "3823", "3823", "3823", "3823", "3823", "3823",
"3823", "3720"), statecode = c("NJ", "NJ", "NJ", "NJ", "NJ",
"NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ", "NJ",
"NJ", "NJ", "NJ", "NJ", "IL"), statename = c("NEW JERSEY",
"NEW JERSEY", "NEW JERSEY", "NEW JERSEY", "NEW JERSEY", "NEW JERSEY",
"NEW JERSEY", "NEW JERSEY", "NEW JERSEY", "NEW JERSEY", "NEW JERSEY",
"NEW JERSEY", "NEW JERSEY", "NEW JERSEY", "NEW JERSEY", "NEW JERSEY",
"NEW JERSEY", "NEW JERSEY", "NEW JERSEY", "ILLINOIS"), ticker = c("NA",
"", "NA", "", "NA", "", "NA", "", "NA", "", "NA", "", "NA",
"", "NA", "", "NA", "", "", "AIR")), .Names = c("cikcode",
"auditorkey", "yearendeddate", "source", "sourcedate", "financialsdate",
"auditopinionkey", "auditorstatecode", "auditorstatename", "goingconcern",
"goingconcernissuekeylist", "goingconcernissuephraselist", "isadditionalopinion",
"restatement", "yearended", "assets", "auditfees", "auditor",
"earnings", "naicscode", "revenue", "siccode", "statecode", "statename",
"ticker"), row.names = c(NA, 20L), class = "data.frame")
DF2
structure(list(cikcode = c(320193L, 72971L, 72971L, 200406L,
40545L, 40545L, 1114448L, 19617L, 19617L, 1067983L, 70858L, 313807L,
1578845L, 1113172L, 64803L, 1135644L, 731766L, 14272L, 14272L,
66740L), auditoratdisclosuredate = c("KPMG LLP", "KPMG LLP",
"KPMG LLP", "PricewaterhouseCoopers LLP", "KPMG LLP", "KPMG LLP",
"PricewaterhouseCoopers LLP", "PricewaterhouseCoopers LLP", "PricewaterhouseCoopers LLP",
"Deloitte & Touche LLP", "PricewaterhouseCoopers LLP", "Ernst & Young LLP",
"PricewaterhouseCoopers LLP", "PricewaterhouseCoopers LLP", "KPMG LLP",
"KPMG LLP", "Deloitte & Touche LLP", "PricewaterhouseCoopers LLP",
"PricewaterhouseCoopers LLP", "PricewaterhouseCoopers LLP"),
auditoratdisclosuredatekey = c("4", "4", "4", "1", "4", "4",
"1", "1", "1", "3", "1", "2", "1", "1", "4", "4", "3", "1",
"1", "1"), auditorduringrestatedperiod = c("|KPMG LLP|",
"|KPMG LLP|", "|KPMG LLP|", "|PricewaterhouseCoopers LLP|",
"|KPMG LLP|", "|KPMG LLP|", "|PricewaterhouseCoopers LLP|PricewaterhouseCoopers LLP (PricewaterhouseCoopers AG, SWITZERLAND)|",
"|PricewaterhouseCoopers LLP|", "|PricewaterhouseCoopers LLP|",
"|Deloitte & Touche LLP|", "|PricewaterhouseCoopers LLP|PricewaterhouseCoopers LLP (Price Waterhouse & Co SRL, ARGENTINA)|",
"|Ernst & Young LLP|Ernst & Young LLP (Ernst & Young LLP, UNITED KINGDOM)|",
"|PricewaterhouseCoopers LLP|", "|Deloitte & Touche LLP (Deloitte Touche Tohmatsu Auditores Independentes, BRAZIL)|Deloitte & Touche LLP (KPMG Auditores Independentes, BRAZIL)|KPMG LLP (Deloitte Touche Tohmatsu Auditores Independentes, BRAZIL)|KPMG LLP (KPMG Auditores Independentes, BRAZIL)|",
"|KPMG LLP|", "|KPMG LLP (KPMG Deutsche Treuhand-Gesellschaft AG WPG, GERMANY)|",
"|Arthur Andersen LLP|Deloitte & Touche LLP|", "|PricewaterhouseCoopers LLP|",
"|PricewaterhouseCoopers LLP|", "|PricewaterhouseCoopers LLP|"
), auditorduringrestatedperiodkeys = c("|4|", "|4|", "|4|",
"|1|", "|4|", "|4|", "|1|", "|1|", "|1|", "|3|", "|1|", "|2|",
"|1|", "|3|4|", "|4|", "|4|", "|5|3|", "|1|", "|1|", "|1|"
), auditoropinionperiodendduringrestatedperiod = c("|KPMG LLP|",
"|KPMG LLP|", "|KPMG LLP|", "", "|KPMG LLP|", "|KPMG LLP|",
"|PricewaterhouseCoopers LLP[PricewaterhouseCoopers AG]|",
"|PricewaterhouseCoopers LLP|", "", "", "|PricewaterhouseCoopers LLP|",
"|Ernst & Young LLP[Ernst & Young LLP]|", "|PricewaterhouseCoopers LLP|",
"|KPMG LLP[KPMG Auditores Independentes]|", "", "|KPMG LLP[KPMG Deutsche Treuhand-Gesellschaft AG WPG]|",
"|Arthur Andersen LLP|Deloitte & Touche LLP|", "|PricewaterhouseCoopers LLP|",
"|PricewaterhouseCoopers LLP|", "|PricewaterhouseCoopers LLP|"
), auditoropinionperiodendduringrestatedperiodkeys = c("|4|",
"|4|", "|4|", "", "|4|", "|4|", "|1|", "|1|", "", "", "|1|",
"|2|", "|1|", "|4|", "", "|4|", "|5|3|", "|1|", "|1|", "|1|"
), restatementkey = c("10196", "12617", "42632", "44280",
"857", "22310", "7995", "10187", "38972", "5379", "6357",
"9495", "49566", "32005", "45575", "15890", "13410", "695",
"3752", "36923"), restatedperiodbegin = c("1996-10-01", "1998-01-01",
"2005-01-01", "2012-01-01", "2001-01-01", "2001-01-01", "2003-01-01",
"2003-01-01", "2012-01-01", "2001-07-01", "2001-01-01", "2000-01-01",
"2014-01-01", "2007-01-01", "1997-01-01", "2000-10-01", "1994-01-01",
"2001-01-01", "1999-01-01", "2010-01-01"), restatedperiodended = c("2006-04-01",
"2003-09-30", "2007-09-30", "2012-07-01", "2006-03-31", "2006-09-30",
"2004-12-31", "2006-03-31", "2012-03-31", "2001-09-30", "2005-09-30",
"2004-12-31", "2014-12-31", "2008-12-31", "1998-12-31", "2006-09-30",
"2006-09-30", "2003-09-30", "2002-06-30", "2011-03-31"),
disclosure = c("Press Release", "10-Q/A", "10-K", "10-Q",
"8-K", "8-K", "20-F", "8-K", "8-K", "10-Q/A", "8-K", "20-F/A",
"10-Q", "20-F", "8-K", "20-F", "8-K", "8-K", "Press Release",
"10-Q"), disclosuredate = c("2006-06-29", "2004-01-16", "2008-02-29",
"2012-11-09", "2005-05-06", "2007-01-19", "2006-01-30", "2006-08-03",
"2012-07-13", "2002-03-15", "2006-02-22", "2006-06-13", "2015-05-11",
"2010-04-21", "1999-11-15", "2006-12-11", "2006-04-07", "2004-01-29",
"2002-10-22", "2011-08-04"), cumulativechangeinnetincome = c(NaN,
NaN, 0, 0, 3.04344437838208e-315, NaN, NaN, 0, NaN, 0, 2.66795448754273e-315,
0, 0, 0, 0, NaN, NaN, NaN, NaN, 0), accountingrulegaapfasbapplicationfailures = c("|Deferred, stock-based and/or executive comp issues|Deferred, stock-based options backdating only (subcategory)|",
"|Lease, SFAS 5, legal, contingency and commitment issues|Lease, leasehold and FAS 13 (98) only (subcategory)|",
"|Cash flow statement (SFAS 95) classification errors|Lease, SFAS 5, legal, contingency and commitment issues|",
"|Cash flow statement (SFAS 95) classification errors|",
"|Financial derivatives/hedging (FAS 133) acct issues|",
"|Financial derivatives/hedging (FAS 133) acct issues|Foreign, related party, affiliated, or subsidiary issues|",
"|PPE intangible or fixed asset (value/diminution) issues|Acquisitions, mergers, disposals, re-org acct issues|Consolidation issues incl Fin 46 variable interest & off-B/S|Deferred, stock-based and/or executive comp issues|Tax expense/benefit/deferral/other (FAS 109) issues|GAAP - Changes in Acct Principles FASB/EITF or Foreign GAAP|Acquisitions, mergers, only (subcategory) acct issues|PPE issues - Intangible assets, goodwill only (subcategory)|Pension and other post-retirement benefit issues|",
"|Accounts/loans receivable, investments & cash issues|Cash flow statement (SFAS 95) classification errors|",
"|Revenue recognition issues|", "|Consolidation issues incl Fin 46 variable interest & off-B/S|Intercompany, investment in subs./affiliate issues|",
"|Financial derivatives/hedging (FAS 133) acct issues|",
"|Revenue recognition issues|Financial derivatives/hedging (FAS 133) acct issues|Inventory, vendor and/or cost of sales issues|GAAP - Changes in Acct Principles FASB/EITF or Foreign GAAP|",
"|Debt, quasi-debt, warrants & equity ( BCF) security issues|Foreign, related party, affiliated, or subsidiary issues|Cash flow statement (SFAS 95) classification errors|Foreign, subsidiary only issues (subcategory)|",
"", "|Acquisitions, mergers, disposals, re-org acct issues|Acquisitions, mergers, only (subcategory) acct issues|",
"|Tax expense/benefit/deferral/other (FAS 109) issues|",
"|Deferred, stock-based and/or executive comp issues|Deferred, stock-based options backdating only (subcategory)|",
"|Acquisitions, mergers, disposals, re-org acct issues|Consolidation issues incl Fin 46 variable interest & off-B/S|Accounts/loans receivable, investments & cash issues|Tax expense/benefit/deferral/other (FAS 109) issues|Fin Statement, footnote & segment disclosure issues|Pension and other post-retirement benefit issues|",
"|Revenue recognition issues|Accounts/loans receivable, investments & cash issues|Inventory, vendor and/or cost of sales issues|",
"|Cash flow statement (SFAS 95) classification errors|"),
financialfraudirregularitiesandmisrepresentations = c("",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", ""), errorsaccountingandclericalapplications = c("",
"", "", "", "", "", "", "", "", "", "", "", "", "|EPS, ratio and classification of income statement issues|",
"", "", "", "", "", ""), othersignificantissues = c("", "",
"", "", "", "", "", "", "|Z - Material Weakness - Section 404 or 302 issues identified|",
"", "", "", "", "", "", "", "", "", "|Y - Loan covenant violations/issues|",
""), secinvestigation = c("", "", "Y", "", "Y", "Y", "",
"", "", "", "", "", "", "", "", "", "", "", "", "")), .Names = c("cikcode",
"auditoratdisclosuredate", "auditoratdisclosuredatekey", "auditorduringrestatedperiod",
"auditorduringrestatedperiodkeys", "auditoropinionperiodendduringrestatedperiod",
"auditoropinionperiodendduringrestatedperiodkeys", "restatementkey",
"restatedperiodbegin", "restatedperiodended", "disclosure", "disclosuredate",
"cumulativechangeinnetincome", "accountingrulegaapfasbapplicationfailures",
"financialfraudirregularitiesandmisrepresentations", "errorsaccountingandclericalapplications",
"othersignificantissues", "secinvestigation"), row.names = c("1",
"2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13",
"14", "15", "16", "17", "18", "19", "20"), class = "data.frame")
您可以使用data.table中的foverlaps。将两个data.frame s转换为start/end列的data.table。将键列设置为每个数据集的列名。使用foverlaps获取数字索引，根据其中的NA值转换为二进制match。
library(data.table)#v1.9.5+
dt1 <- data.table(ID=df1$ID, start=df1$actual.date, end=df1$actual.date)
setkeyv(dt1, colnames(dt1))
dt2 <- as.data.table(df2)
setnames(dt2, 2:3, c('start', 'end'))
setkeyv(dt2, colnames(dt2))
indx <- foverlaps(dt1, dt2, type='within', which=TRUE, mult='first')
dt1[, match:= +(!is.na(indx))][,end:=NULL]
setnames(dt1, 1:2, colnames(df1))
dt1
# ID actual.date match
#1: 1 1997-10-01 0
#2: 1 1998-02-01 1
#3: 1 2002-05-01 1
#4: 2 1999-07-01 0
#5: 3 2005-09-01 1
#6: 4 2003-02-03 1
#7: 4 2006-05-01 0
以下是dplyr的解决方案
library(dplyr)
dat <- inner_join(df1, df2, by = "ID")
dat %>% rowwise() %>%
mutate(match = ifelse(between(actual.date, before.date, after.date), 1, 0)) %>%
select(-c(before.date, after.date)) %>%
arrange(actual.date, desc(match)) %>%
distinct(actual.date)
输出略有不同，因为它订购了actual.date，也许这是一个问题，如果是这种情况，我将删除我的解决方案。
Source: local data frame [7 x 3]
ID actual.date match
1 1 1997-10-01 0
2 1 1998-02-01 1
3 2 1999-07-01 0
4 1 2002-05-01 1
5 4 2003-02-03 1
6 3 2005-09-01 1
7 4 2006-05-01 0
这是使用fuzzyjoin包的另一个希望正确的答案。
library(data.table)
library(fuzzyjoin)
dt1 <- data.table(df1)
dt2 <- data.table(df2)
fuzzy_left_join(dt1
, dt2,
by = c("ID" = "ID", "actual.date" = "before.date", "actual.date" = "after.date"),
match_fun = list(`==`, `>`, `<`))[,.(ID = ID.x
,actual.date
, match = ifelse(is.na(ID.y),0,1))]