dplyr和计算每年购买的人的比例
我有以下类似的数据 我试图计算每年购买某一品牌的人的百分比。i、 40%的人每年购买品牌9938，2%的人每年购买品牌1283等 我正在尝试dplyr-group_，但似乎无法计算购买每个品牌的人的比例 PANID是一个人，所以这个人在2001年买了3件这个品牌的东西dplyr和计算每年购买的人的比例,r,dplyr,R,Dplyr,我有以下类似的数据 我试图计算每年购买某一品牌的人的百分比。i、 40%的人每年购买品牌9938，2%的人每年购买品牌1283等 我正在尝试dplyr-group_，但似乎无法计算购买每个品牌的人的比例 PANID是一个人，所以这个人在2001年买了3件这个品牌的东西 PANID year brandID 1 1100016 2001 115 2 1100016 2001 115 3 1100016 2001 115 任何帮助都会很好 df <- stru
PANID year brandID
1 1100016 2001 115
2 1100016 2001 115
3 1100016 2001 115
df <- structure(list(PANID = c(1100016L, 1100016L, 1100016L, 1100016L,
1100016L, 1100016L, 1100016L, 1100016L, 1100016L, 1100016L, 1100016L,
1100032L, 1100057L, 1100057L, 1100057L, 1100057L, 1100057L, 1100057L,
1100057L, 1100057L, 1100057L, 1100180L, 1100180L, 1100180L, 1100180L,
1100180L, 1100180L, 1100180L, 1100180L, 1100214L, 1100248L, 1100248L,
1100321L, 1100321L, 1100321L, 1100321L, 1100321L, 1100404L, 1100404L,
1100404L, 1100404L, 1100404L, 1100404L, 1100404L, 1100404L, 1100404L,
1100404L, 1100404L, 1100404L, 1100404L, 1100404L, 1100404L, 1100404L,
1100404L, 1100420L, 1100479L, 1100503L, 1100503L, 1100545L, 1100545L,
1100545L, 1100545L, 1100560L, 1100560L, 1100560L, 1100560L, 1100560L,
1100560L, 1100560L, 1100560L, 1100560L, 1100560L, 1100560L, 1100560L,
1100560L, 1100560L, 1100685L, 1100685L, 1100685L, 1100685L, 1100685L,
1100685L, 1100685L, 1100685L, 1100685L, 1100685L, 1100685L, 1100750L,
1100750L, 1100750L, 1100750L, 1100784L, 1101162L, 1101162L, 1101162L,
1101162L, 1101162L, 1101162L, 1101238L, 1101253L, 1101253L, 1101253L,
1101253L, 1101253L, 1101253L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L,
1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101279L, 1101642L,
1101642L, 1101642L, 1101642L, 1101642L, 1101642L, 1101642L, 1101642L,
1101642L, 1101642L, 1101642L, 1101642L, 1101642L, 1101642L, 1101642L,
1101758L, 1101758L, 1101758L, 1101758L, 1101758L, 1101758L, 1101758L,
1101758L, 1101758L, 1101758L, 1101758L, 1101758L, 1101758L, 1101758L,
1101758L, 1101758L, 1101758L, 1101758L, 1101758L, 1101758L, 1101758L,
1101758L, 1101758L, 1101758L, 1101758L, 1101758L, 1101758L, 1101758L,
1101758L, 1101758L, 1102012L, 1102012L, 1102046L, 1102046L, 1102202L,
1102202L, 1102202L, 1102202L, 1102202L, 1102202L, 1102202L, 1102202L,
1102202L, 1102202L, 1102202L, 1102202L, 1102202L, 1102202L, 1102202L,
1102202L, 1102202L, 1102202L, 1102202L, 1102202L, 1102202L, 1102202L,
1102202L, 1102202L, 1102202L, 1102202L, 1102202L, 1102202L, 1102202L,
1102202L, 1102202L, 1102202L, 1102202L, 1102202L, 1102202L, 1102202L,
1102277L, 1102277L, 1102277L, 1102368L, 1102368L, 1102384L, 1102384L,
1102384L, 1102491L, 1102491L, 1102491L, 1102491L, 1102491L, 1102491L,
1102772L, 1102772L, 1102772L, 1102772L, 1102772L, 1102772L, 1102772L,
1102772L, 1102772L, 1102772L, 1102772L, 1102772L, 1102772L, 1102772L,
1103069L, 1103069L, 1103069L, 1103069L, 1103069L, 1103101L, 1103101L,
1103101L, 1103101L, 1103101L, 1103101L, 1103101L, 1103101L, 1103101L,
1103101L, 1103101L, 1103101L, 1103101L, 1103101L, 1103101L, 1103101L,
1103101L, 1103101L, 1103101L, 1103101L, 1103101L, 1103101L, 1103101L,
1103101L, 1103325L, 1103325L, 1103325L, 1103325L, 1103440L, 1103440L,
1103614L, 1103614L, 1103614L, 1103614L, 1103614L, 1103614L, 1103614L,
1103614L, 1103614L, 1103614L, 1103614L, 1103614L, 1103614L, 1103614L,
1103671L, 1103671L, 1103671L, 1103895L, 1103895L, 1103895L, 1103895L,
1103895L, 1103895L, 1103895L, 1103895L, 1103895L, 1103895L, 1103895L,
1103895L, 1103895L, 1103895L, 1103895L, 1103911L, 1103911L, 1104042L,
1104042L, 1104182L, 1104182L, 1104182L, 1104182L, 1104182L, 1104182L,
1104182L, 1104182L, 1104182L, 1104182L, 1104182L, 1104182L, 1104182L,
1104182L, 1104182L, 1104182L, 1104182L, 1104182L, 1104182L, 1104182L,
1104182L, 1104182L, 1104182L, 1104208L, 1104208L, 1104208L, 1104208L,
1104224L, 1104257L, 1104257L, 1104257L, 1104257L, 1104273L, 1104273L,
1104315L, 1104315L, 1104315L, 1104315L, 1104364L, 1104372L, 1104372L,
1104372L, 1104372L, 1104406L, 1104406L, 1104406L, 1104406L, 1104414L,
1104414L, 1104414L, 1104414L, 1104414L, 1104414L, 1104414L, 1104414L,
1104414L, 1104414L, 1104414L, 1104414L, 1104414L, 1104414L, 1104414L,
1104414L, 1104414L, 1104414L, 1104414L, 1104414L, 1104414L, 1104414L,
1104414L, 1104414L, 1104414L, 1104414L, 1104414L, 1104414L, 1104414L,
1104612L, 1104703L, 1104703L, 1104703L, 1104869L, 1104869L, 1104869L,
1104935L, 1104968L, 1104968L, 1104968L, 1104968L, 1104968L, 1104968L,
1105171L, 1105171L, 1105171L, 1105171L, 1105171L, 1105171L, 1105171L,
1105171L, 1105171L, 1105171L, 1105171L, 1105171L, 1105171L, 1105171L,
1105171L, 1105171L, 1105213L, 1105213L, 1105213L, 1105239L, 1105239L,
1105239L, 1105239L, 1105239L, 1105254L, 1105254L, 1105254L, 1105726L,
1105726L, 1105759L, 1105759L, 1105775L, 1105775L, 1105775L, 1105775L,
1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L,
1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L,
1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L,
1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L,
1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L,
1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L,
1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L, 1105775L,
1105809L, 1105965L, 1105965L, 1105965L, 1105965L, 1105965L, 1105965L,
1105965L, 1105965L, 1105965L, 1105965L, 1105965L, 1105965L, 1105965L,
1105965L, 1105965L, 1105965L, 1105965L, 1105999L, 1105999L, 1105999L,
1105999L, 1105999L, 1106146L, 1106146L, 1106146L, 1106229L, 1106229L,
1106294L, 1106484L, 1106567L, 1106567L, 1106567L, 1106567L, 1106567L,
1106567L, 1106567L, 1106567L, 1106567L, 1106567L, 1106567L, 1106575L,
1106575L, 1106575L, 1106575L, 1106575L, 1106575L, 1106575L, 1106575L,
1106575L, 1106575L, 1106575L, 1106575L, 1106864L, 1107235L, 1107235L,
1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L,
1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L,
1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L,
1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L,
1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L,
1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L, 1107235L,
1107250L, 1107250L, 1107318L, 1107391L, 1107391L, 1107425L, 1107425L,
1107425L, 1107425L, 1107516L, 1107516L, 1107516L, 1107516L, 1107516L,
1107516L, 1107516L, 1107581L, 1107581L, 1107581L, 1107581L, 1107581L,
1107581L, 1107581L, 1107581L, 1107847L, 1107847L, 1107847L, 1107847L,
1107847L, 1107847L, 1107847L, 1107847L, 1107847L, 1107847L, 1107847L,
1107847L, 1107847L, 1107847L, 1107847L, 1107847L, 1107862L, 1107862L,
1107862L, 1107920L, 1107920L, 1107953L, 1107953L, 1107953L, 1107953L,
1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L,
1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L,
1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L,
1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L,
1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L,
1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L, 1107953L,
1107953L, 1107953L, 1107961L, 1107961L, 1107961L, 1107961L, 1107961L,
1107961L, 1107961L, 1107961L, 1108043L, 1108043L, 1108043L, 1108043L,
1108043L, 1108043L, 1108043L, 1108225L, 1108225L, 1108266L, 1108308L,
1108308L, 1108308L, 1108308L, 1108308L, 1108308L, 1108308L, 1108308L,
1108308L, 1108308L, 1108308L, 1108308L, 1108308L, 1108308L, 1108308L,
1108308L, 1108308L, 1108308L, 1108308L, 1108308L, 1108308L, 1108308L,
1108308L, 1108308L, 1108308L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L, 1108456L,
1108456L, 1108456L, 1108456L, 1108464L, 1108464L, 1108464L, 1108464L,
1108464L, 1108464L, 1108464L, 1108464L, 1108464L, 1108464L, 1108464L,
1108464L, 1108464L, 1108464L, 1108464L, 1108464L, 1108670L, 1108670L,
1108670L, 1108670L, 1108670L, 1108670L, 1108670L, 1108795L, 1108795L,
1108878L, 1109165L, 1109165L, 1109165L, 1109165L, 1109165L, 1109165L,
1109272L, 1109306L, 1109306L, 1109306L, 1109306L, 1109306L, 1109306L,
1109306L, 1109306L, 1109306L, 1109306L, 1109306L, 1109306L, 1109306L,
1109306L, 1109306L, 1109306L, 1109306L, 1109306L, 1109306L, 1109306L,
1109306L, 1109306L, 1109306L, 1109306L, 1109306L, 1109306L, 1109306L,
1109306L, 1109306L, 1109306L, 1109306L, 1109306L, 1109306L, 1109306L,
1109447L, 1109447L, 1109447L, 1109447L, 1109447L, 1109447L, 1109447L,
1109447L, 1109447L), year = c(2001, 2001, 2001, 2002, 2002, 2002,
2002, 2003, 2004, 2004, 2005, 2004, 2001, 2001, 2001, 2001, 2001,
2001, 2001, 2001, 2007, 2001, 2001, 2002, 2005, 2005, 2005, 2005,
2007, 2004, 2005, 2007, 2001, 2002, 2002, 2004, 2005, 2001, 2001,
2003, 2004, 2006, 2007, 2007, 2007, 2007, 2007, 2007, 2007, 2007,
2007, 2007, 2007, 2007, 2002, 2004, 2003, 2007, 2001, 2003, 2004,
2005, 2001, 2001, 2001, 2002, 2002, 2003, 2004, 2004, 2005, 2005,
2005, 2005, 2006, 2006, 2002, 2002, 2002, 2002, 2002, 2004, 2004,
2004, 2005, 2005, 2005, 2003, 2003, 2006, 2007, 2005, 2001, 2001,
2002, 2003, 2004, 2004, 2001, 2004, 2006, 2006, 2007, 2007, 2007,
2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001,
2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001,
2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001,
2001, 2001, 2001, 2001, 2001, 2001, 2002, 2002, 2002, 2002, 2002,
2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002,
2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002,
2002, 2002, 2002, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,
2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,
2003, 2003, 2003, 2003, 2003, 2004, 2004, 2004, 2005, 2005, 2005,
2005, 2006, 2006, 2006, 2006, 2006, 2007, 2007, 2007, 2003, 2003,
2003, 2004, 2004, 2004, 2004, 2004, 2005, 2005, 2005, 2006, 2006,
2007, 2007, 2001, 2002, 2002, 2003, 2003, 2003, 2003, 2003, 2003,
2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2005, 2005, 2005,
2005, 2005, 2005, 2005, 2006, 2006, 2006, 2007, 2007, 2007, 2001,
2003, 2001, 2002, 2002, 2002, 2002, 2002, 2003, 2003, 2003, 2003,
2004, 2004, 2004, 2004, 2005, 2005, 2005, 2005, 2005, 2005, 2005,
2005, 2005, 2005, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006,
2006, 2007, 2007, 2007, 2007, 2007, 2005, 2005, 2005, 2006, 2007,
2001, 2001, 2003, 2002, 2003, 2003, 2004, 2006, 2007, 2003, 2003,
2003, 2003, 2003, 2004, 2004, 2005, 2005, 2005, 2006, 2007, 2007,
2007, 2001, 2002, 2003, 2003, 2004, 2001, 2001, 2001, 2001, 2001,
2001, 2001, 2002, 2002, 2002, 2002, 2003, 2003, 2003, 2003, 2004,
2005, 2005, 2005, 2006, 2006, 2006, 2006, 2007, 2001, 2002, 2002,
2002, 2005, 2007, 2001, 2002, 2002, 2002, 2002, 2002, 2002, 2003,
2003, 2003, 2003, 2004, 2004, 2006, 2001, 2001, 2002, 2001, 2001,
2001, 2002, 2002, 2003, 2003, 2004, 2004, 2005, 2005, 2005, 2006,
2007, 2007, 2002, 2002, 2004, 2006, 2001, 2001, 2001, 2001, 2001,
2001, 2001, 2001, 2001, 2001, 2001, 2001, 2002, 2002, 2002, 2002,
2003, 2003, 2004, 2004, 2004, 2004, 2006, 2001, 2001, 2002, 2003,
2001, 2005, 2005, 2005, 2005, 2001, 2002, 2001, 2001, 2001, 2001,
2001, 2001, 2001, 2002, 2002, 2001, 2003, 2004, 2005, 2002, 2002,
2002, 2003, 2003, 2003, 2003, 2004, 2005, 2005, 2005, 2005, 2005,
2005, 2005, 2005, 2005, 2006, 2006, 2006, 2006, 2006, 2006, 2006,
2006, 2007, 2007, 2007, 2007, 2005, 2004, 2004, 2004, 2001, 2006,
2007, 2004, 2001, 2003, 2005, 2007, 2007, 2007, 2001, 2001, 2003,
2003, 2003, 2004, 2004, 2004, 2005, 2005, 2006, 2006, 2006, 2007,
2007, 2007, 2003, 2006, 2006, 2001, 2001, 2001, 2002, 2003, 2003,
2004, 2004, 2003, 2007, 2002, 2006, 2002, 2002, 2002, 2002, 2002,
2002, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,
2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2004, 2004,
2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004,
2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2005, 2005,
2005, 2005, 2005, 2005, 2004, 2001, 2003, 2003, 2003, 2003, 2004,
2004, 2005, 2005, 2006, 2006, 2006, 2006, 2007, 2007, 2007, 2007,
2001, 2002, 2003, 2004, 2007, 2001, 2002, 2002, 2005, 2005, 2003,
2007, 2001, 2001, 2001, 2002, 2002, 2003, 2004, 2004, 2004, 2006,
2006, 2001, 2002, 2002, 2003, 2003, 2003, 2003, 2005, 2005, 2007,
2007, 2007, 2004, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2002,
2002, 2002, 2002, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2004,
2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004,
2004, 2004, 2005, 2005, 2005, 2005, 2005, 2005, 2005, 2006, 2006,
2006, 2007, 2007, 2003, 2006, 2002, 2005, 2005, 2001, 2001, 2002,
2002, 2004, 2005, 2005, 2006, 2006, 2006, 2006, 2001, 2001, 2002,
2003, 2003, 2003, 2003, 2006, 2001, 2001, 2002, 2003, 2003, 2003,
2003, 2005, 2005, 2005, 2005, 2005, 2005, 2006, 2006, 2006, 2001,
2004, 2007, 2004, 2004, 2001, 2001, 2002, 2002, 2002, 2002, 2002,
2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2004, 2004,
2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004, 2004,
2005, 2005, 2005, 2005, 2005, 2005, 2006, 2006, 2006, 2006, 2006,
2006, 2006, 2006, 2007, 2007, 2007, 2007, 2007, 2004, 2004, 2004,
2004, 2005, 2005, 2005, 2006, 2001, 2002, 2002, 2002, 2003, 2003,
2005, 2001, 2006, 2003, 2001, 2001, 2001, 2001, 2001, 2001, 2001,
2002, 2003, 2004, 2004, 2004, 2004, 2005, 2005, 2006, 2006, 2006,
2006, 2007, 2007, 2007, 2007, 2007, 2007, 2001, 2001, 2001, 2001,
2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001,
2001, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002,
2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002,
2002, 2002, 2002, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,
2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,
2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,
2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003, 2003,
2003, 2003, 2003, 2003, 2003, 2003, 2004, 2004, 2004, 2004, 2004,
2004, 2004, 2004, 2004, 2004, 2004, 2004, 2005, 2005, 2005, 2005,
2005, 2005, 2005, 2005, 2005, 2005, 2005, 2005, 2005, 2006, 2006,
2006, 2006, 2006, 2006, 2006, 2002, 2002, 2002, 2002, 2003, 2003,
2003, 2003, 2003, 2003, 2003, 2004, 2004, 2004, 2004, 2007, 2002,
2002, 2002, 2003, 2003, 2005, 2005, 2005, 2007, 2007, 2001, 2001,
2002, 2002, 2003, 2003, 2005, 2001, 2001, 2001, 2001, 2001, 2001,
2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2001, 2002,
2002, 2002, 2002, 2002, 2002, 2002, 2002, 2002, 2003, 2003, 2003,
2003, 2004, 2004, 2004, 2004, 2006, 2001, 2001, 2001, 2002, 2002,
2002, 2002, 2002, 2002), brandID = c(115, 115, 115, 115, 115,
115, 115, 491, 73, 73, 73, 311, 433, 430, 448, 73, 73, 196, 196,
196, 432, 283, 445, 313, 315, 315, 115, 315, 315, 113, 480, 535,
72, 73, 277, 315, 288, 117, 432, 288, 491, 303, 134, 305, 305,
115, 305, 80, 175, 162, 163, 300, 46, 45, 311, 313, 73, 342,
311, 311, 311, 311, 447, 430, 445, 20, 73, 73, 445, 446, 73,
446, 72, 73, 433, 446, 480, 73, 283, 180, 480, 72, 73, 73, 180,
72, 288, 72, 72, 73, 73, 73, 115, 115, 115, 115, 115, 115, 72,
491, 277, 277, 369, 277, 277, 73, 72, 73, 72, 315, 73, 72, 315,
73, 72, 315, 73, 72, 73, 72, 73, 72, 72, 73, 72, 315, 73, 72,
72, 315, 80, 72, 73, 72, 315, 73, 72, 72, 315, 72, 72, 73, 72,
315, 73, 72, 73, 72, 73, 72, 315, 73, 72, 73, 72, 315, 73, 73,
72, 315, 315, 73, 72, 73, 72, 73, 72, 315, 73, 72, 315, 73, 72,
73, 73, 72, 72, 73, 72, 315, 73, 72, 73, 72, 73, 72, 315, 73,
72, 73, 72, 315, 73, 73, 72, 73, 72, 73, 73, 72, 72, 72, 72,
72, 72, 72, 72, 72, 72, 534, 72, 283, 72, 72, 72, 325, 283, 288,
288, 288, 288, 72, 288, 288, 288, 288, 288, 288, 283, 339, 72,
72, 363, 72, 433, 288, 288, 288, 288, 326, 288, 288, 283, 434,
288, 283, 443, 443, 423, 443, 72, 443, 72, 443, 288, 175, 288,
288, 315, 315, 73, 480, 180, 14, 515, 175, 113, 425, 175, 134,
173, 445, 423, 308, 115, 423, 308, 115, 534, 534, 113, 534, 534,
115, 534, 534, 100, 490, 118, 115, 100, 100, 149, 115, 425, 310,
115, 115, 72, 433, 360, 117, 73, 433, 444, 446, 313, 115, 73,
72, 72, 72, 73, 79, 446, 73, 73, 79, 73, 73, 491, 73, 73, 446,
73, 73, 73, 315, 425, 315, 425, 73, 73, 73, 333, 333, 333, 333,
333, 73, 73, 73, 332, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73,
73, 73, 73, 162, 446, 173, 180, 514, 124, 72, 72, 72, 221, 118,
342, 72, 72, 72, 433, 17, 480, 443, 72, 80, 72, 303, 303, 433,
433, 548, 20, 433, 446, 432, 446, 446, 446, 446, 446, 446, 72,
72, 222, 73, 438, 278, 463, 438, 438, 142, 438, 339, 142, 438,
438, 142, 438, 142, 438, 438, 438, 142, 438, 438, 438, 463, 339,
448, 448, 480, 115, 79, 72, 72, 72, 72, 117, 73, 433, 436, 438,
339, 444, 115, 115, 115, 115, 115, 115, 277, 115, 14, 72, 115,
72, 118, 426, 200, 72, 73, 5, 443, 425, 491, 364, 118, 117, 434,
434, 463, 72, 269, 443, 443, 443, 463, 443, 443, 443, 443, 462,
115, 115, 115, 117, 443, 176, 180, 369, 80, 434, 113, 433, 175,
313, 315, 73, 73, 73, 73, 73, 115, 73, 315, 73, 315, 79, 277,
115, 73, 113, 277, 311, 430, 448, 444, 149, 149, 180, 221, 324,
288, 486, 480, 73, 149, 149, 443, 283, 303, 149, 116, 116, 145,
145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145,
145, 115, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 283,
145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 433, 145,
145, 145, 145, 145, 277, 277, 277, 311, 180, 73, 180, 73, 73,
73, 73, 73, 73, 433, 180, 180, 73, 180, 446, 162, 162, 115, 115,
115, 73, 72, 433, 115, 303, 115, 315, 221, 221, 444, 221, 72,
221, 315, 221, 142, 433, 115, 115, 99, 283, 325, 325, 491, 72,
491, 491, 16, 433, 60, 72, 118, 117, 118, 283, 118, 118, 118,
327, 117, 222, 117, 118, 117, 466, 277, 450, 175, 443, 288, 149,
5, 117, 118, 443, 124, 134, 117, 472, 472, 173, 73, 149, 413,
22, 492, 118, 360, 149, 386, 443, 427, 386, 413, 149, 180, 277,
425, 342, 342, 480, 529, 149, 180, 115, 315, 222, 100, 315, 222,
222, 79, 79, 79, 79, 73, 79, 79, 342, 117, 117, 117, 491, 73,
491, 288, 491, 491, 491, 73, 73, 73, 14, 490, 18, 72, 73, 73,
313, 313, 221, 221, 222, 221, 221, 480, 221, 221, 221, 221, 142,
142, 221, 221, 221, 221, 221, 221, 221, 221, 221, 221, 221, 221,
221, 142, 142, 221, 221, 221, 221, 221, 221, 221, 221, 221, 221,
221, 221, 221, 221, 221, 221, 221, 221, 221, 221, 221, 73, 73,
73, 73, 73, 73, 73, 73, 283, 480, 72, 433, 72, 72, 72, 303, 369,
224, 180, 1, 20, 162, 180, 22, 1, 1, 433, 1, 1, 20, 1, 1, 1,
180, 1, 1, 315, 433, 23, 492, 23, 492, 20, 115, 115, 175, 115,
115, 73, 73, 73, 115, 175, 115, 73, 369, 73, 73, 73, 73, 73,
73, 115, 115, 115, 115, 115, 115, 303, 115, 303, 115, 115, 115,
115, 115, 115, 115, 73, 73, 115, 303, 115, 73, 73, 115, 73, 115,
303, 303, 14, 73, 115, 303, 73, 115, 303, 73, 303, 73, 303, 73,
73, 115, 303, 73, 115, 115, 303, 73, 115, 303, 73, 115, 73, 73,
115, 303, 73, 73, 115, 303, 115, 73, 73, 73, 288, 115, 303, 303,
73, 115, 303, 491, 73, 303, 73, 73, 303, 73, 73, 18, 73, 73,
115, 534, 73, 534, 73, 73, 73, 534, 73, 73, 534, 73, 73, 73,
534, 73, 534, 491, 343, 145, 145, 343, 145, 145, 208, 145, 145,
69, 145, 145, 145, 343, 487, 69, 72, 73, 72, 73, 72, 72, 72,
438, 433, 115, 369, 216, 216, 316, 72, 432, 369, 315, 315, 315,
315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315,
315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315,
315, 315, 315, 315, 73, 548, 72, 283, 72, 72, 72, 117, 72, 72
)), row.names = c(NA, 1000L), class = "data.frame")
这显示了Y年购买B品牌的客户占Y年客户的百分比
library(data.table)
setDT(df)
brands <- df[, unique(brandID)]
df2 <- df[, .(brandID = list(brandID)), .(PANID, year)]
df2[, .(brand = brands,
pct = sapply(brands, function(x) mean(sapply(brandID, `%in%`, x = x))))
, by = year]
# year brand pct
# 1: 2001 115 0.12
# 2: 2001 491 0
# 3: 2001 73 0.16
# 4: 2001 311 0.02
# 5: 2001 433 0.08
# ---
# 724: 2006 208 0
# 725: 2006 69 0
# 726: 2006 487 0
# 727: 2006 216 0
这显示了Y年购买B品牌的客户占Y年客户的百分比
library(data.table)
setDT(df)
brands <- df[, unique(brandID)]
df2 <- df[, .(brandID = list(brandID)), .(PANID, year)]
df2[, .(brand = brands,
pct = sapply(brands, function(x) mean(sapply(brandID, `%in%`, x = x))))
, by = year]
# year brand pct
# 1: 2001 115 0.12
# 2: 2001 491 0
# 3: 2001 73 0.16
# 4: 2001 311 0.02
# 5: 2001 433 0.08
# ---
# 724: 2006 208 0
# 725: 2006 69 0
# 726: 2006 487 0
# 727: 2006 216 0
这是方便的dplyr函数n_distinct的一个很好的用例，它统计列中唯一值的数量 图书馆弹琴 图书馆三年 df% 汇总客户=n\u地区客户 在每年内，获取每个品牌的不同客户总数 品牌客户年百分比 按年份分组，品牌%>% 总结eBrand\u客户\u年=n\u地区客户%>% 解组%>% 完整年份，品牌，填充=列表品牌\年内客户\年=0L 结合年度总结和品牌年度总结 品牌客户年%>% left_joiny=年内的客户总数， 截止日期='年'>% mutebrand\u Share\u in年=品牌\u客户\u in年/年\u客户
这是方便的dplyr函数n_distinct的一个很好的用例，它统计列中唯一值的数量 图书馆弹琴 图书馆三年 df% 汇总客户=n\u地区客户 在每年内，获取每个品牌的不同客户总数 品牌客户年百分比 按年份分组，品牌%>% 总结eBrand\u客户\u年=n\u地区客户%>% 解组%>% 完整年份，品牌，填充=列表品牌\年内客户\年=0L 结合年度总结和品牌年度总结 品牌客户年%>% left_joiny=年内的客户总数， 截止日期='年'>% mutebrand\u Share\u in年=品牌\u客户\u in年/年\u客户
具体来说，当你说每年有40%的人购买brandID 9938时，这是否意味着有40%的[总数据库中的所有客户]在某一年购买了某一品牌，还是有40%的[在该年购买了某一品牌的客户]购买了某一品牌？这是一个我没有澄清的好观点。我指的是当年购买的40%的客户。例如，有些客户在2001年之后输入数据，有些客户在2003年退出数据。具体来说，当你说每年有40%的人购买brandID 9938时，这是否意味着[总数据库中的所有客户]有40%在某一年购买了某一品牌，还是40%[在那一年购买的客户中]是这样做的？这是一个很好的观点，我没有澄清。我指的是在那一年购买的所有客户中的40%。例如，一些客户在2001年之后输入数据，一些客户在2003年退出数据。