我已经设法在 excel 中轻松完成此操作，但想在 R 中完成此操作：
我有两个数据框：
MediaPlanDF（215 个 obs，29 个 var）
我只关心其中的 4 个变量：
开始日期（航班日期），
结束日期（航班日期），
每日消费，
每日展示次数
OutputDF（35 个 obs，1 个 var）
日期：输出DF[[1]]
2015 年 8 月 31 日至 2015 年 4 月 10 日期间进行了 35 次观察
这就是设置，或者至少是我的设置方式（所有日期格式正确）。
我需要做的基本上是向 ouputDF 添加 2 列：每日印象数和每日支出
每日印象数 = 如果 OutputDF 中的日期落在 MediaPlanDF 的开始日期和结束日期内，则对满足该条件的所有 #dailyimpressions 求和。
每日印象数 = 如果 OutputDF 中的日期落在 MediaPlanDF 的开始日期和结束日期内，则对满足该条件的所有 #dailyspend 进行求和。
这是两个 DF 的示例：
MediaPlanDF（我关心的部分）：
#daysinflight #dailyimpressions #dailyspend Campaign name Campaign ID Campaign flight start date Campaign flight end date
35 392857.1429 1571.428571 A Real Advertiser RAND0M 8/31/2015 10/4/2015
35 85714.28571 428.5714286 A Real Advertiser RAND0M 8/31/2015 10/4/2015
35 142857.1429 714.2857143 A Real Advertiser RAND0M 8/31/2015 10/4/2015
35 62857.14286 942.8571429 A Real Advertiser RAND0M 8/31/2015 10/4/2015
OutputDF
Date
8/31/2015
9/1/2015
9/2/2015
9/3/2015
9/4/2015
9/5/2015
...
10/4/2015
感谢您提前提供的任何帮助。
我收到此错误：
as.POSIXlt.character(as.character(x), ...) 中的错误：
字符串不是标准的明确格式
这是输出
structure(list(site = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("Accuen",
"Amazon", "Bleacher Report", "Brightroll", "Buzzfeed", "CBSi",
"College Humor", "Complex", "ESPN", "GDN", "HULU", "IGN", "Millennial",
"Nativo", "NBA", "NBC Sports", "Pandora", "Reddit", "Spotify",
"Tremor", "TrueX", "Twitch", "Wikia", "Woven", "Yahoo!", "YouTube"
), class = "factor"), daysinflight = c(35L, 35L, 35L, 35L, 35L,
35L), dailyimpressions = c(392857.1429, 85714.28571, 142857.1429,
62857.14286, 17142.85714, 72380.94286), dailyspend = c(1571.428571,
428.5714286, 714.2857143, 942.8571429, 428.5714286, 1085.714286
), Campaign.name = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "A Real Advertiser", class = "factor"),
Campaign.ID = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "RAND0M", class = "factor"),
startdate = structure(c(16678, 16678, 16678, 16678, 16678,
16678), class = "Date"), enddate = structure(c(16712, 16712,
16712, 16712, 16712, 16712), class = "Date"), Campaign.budget = c(5100206L,
5100206L, 5100206L, 5100206L, 5100206L, 5100206L), Campaign.planned.cost = c(4663350.2,
4663350.2, 4663350.2, 4663350.2, 4663350.2, 4663350.2), Campaign.buy.total = c(4663350.2,
4663350.2, 4663350.2, 4663350.2, 4663350.2, 4663350.2), Supplier = structure(c(1L,
1L, 1L, 1L, 1L, 1L), .Label = c("ACCUEN", "AMAZON (AMZN MED GP)",
"BRIGHTROLL", "BUZZFEED.COM", "CBS DIGITAL MEDIA", "COLLEGE HUMOR",
"COMPLEX.COM", "ESPN.COM", "GOOGLE DISPLAY NTWK", "HULU",
"IGN.COM", "MILLENNIAL MEDIA", "NATIVO.NET", "NBC.COM", "PANDORA MEDIA, INC.",
"REDDIT.COM", "SPOTIFY.COM", "TREMORMEDIA.COM", "TRUEX MEDIA INC.",
"TURNER MEDIA GROUP", "TWITCH.TV", "WIKIA.COM", "WOVENDIGITAL.COM",
"YAHOO! US", "YOUTUBE, LLC."), class = "factor"), Site = structure(c(1L,
1L, 1L, 1L, 1L, 1L), .Label = c("ACCUEN", "AMAZON.COM", "BLEACHER REPORT",
"BRIGHTROLL", "BUZZFEED.COM", "CBS INTERACTIVE", "COLLEGEHUMOR",
"COMPLEX", "COMPLEX.COM", "ELECTUS", "ESPN.COM", "GOOGLE DISPLAY NTWK",
"HULU", "IGN.COM", "MILLENNIAL MEDIA", "NATIVO", "NBA", "NBCSPORTS.COM",
"PANDORA", "REDDIT", "SPOTIFY", "TREMOR VIDEO", "TRUEX",
"TWITCH", "WIKIA", "WOVEN", "YAHOO", "YOUTUBE, LLC."), class = "factor"),
Flight.start.date = structure(c(2L, 2L, 2L, 2L, 2L, 2L), .Label = c("10/3/2015",
"8/31/2015", "9/1/2015", "9/10/2015", "9/11/2015", "9/13/2015",
"9/14/2015", "9/15/2015", "9/16/2015", "9/17/2015", "9/18/2015",
"9/2/2015", "9/20/2015", "9/21/2015", "9/24/2015", "9/25/2015",
"9/27/2015", "9/28/2015", "9/7/2015", "9/9/2015"), class = "factor"),
Flight.end.date = structure(c(2L, 2L, 2L, 2L, 2L, 2L), .Label = c("10/3/2015",
"10/4/2015", "9/11/2015", "9/13/2015", "9/15/2015", "9/17/2015",
"9/18/2015", "9/2/2015", "9/20/2015", "9/27/2015", "9/30/2015"
), class = "factor"), Cost.method = structure(c(3L, 3L, 3L,
3L, 3L, 3L), .Label = c("CPC", "CPE", "CPM", "Flat", "Free"
), class = "factor"), Rate = c(43, 15, 5, 125, 25, 15), Planned.unit.amount = c(13750000L,
3000000L, 5000000L, 2200000L, 600000L, 2533333L), Cost = c(55000,
15000, 25000, 33000, 15000, 38000), Excluded = structure(c(1L,
1L, 1L, 1L, 1L, 1L), .Label = "No", class = "factor"), Company.ID = structure(c(1L,
1L, 1L, 1L, 1L, 1L), .Label = "skrt", class = "factor"),
Person.ID = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "smgboi", class = "factor"),
Exported.by = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "some guy", class = "factor"),
Exported.on = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "2015-10-06 18:53:12, EDT", class = "factor"),
Exported.from = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "media", class = "factor")), .Names = c("site",
"daysinflight", "dailyimpressions", "dailyspend", "Campaign.name",
"Campaign.ID", "startdate", "enddate", "Campaign.budget", "Campaign.planned.cost",
"Campaign.buy.total", "Supplier", "Site", "Placement.name", "Buy.details",
"Positioning", "Unit.dimensions", "Flight.start.date", "Flight.end.date",
"Cost.method", "Rate", "Planned.unit.amount", "Cost", "Excluded",
"Company.ID", "Person.ID", "Exported.by", "Exported.on", "Exported.from"
), row.names = c(NA, 6L), class = "data.frame")
