I have managed to do this in excel easily but want to complete this in R:
I have two data frames:
MediaPlanDF (215 obs, 29 var)
I am only concerned with 4 of the variables:
Start Date (flight date), End Date (flight date), Daily Spend, Daily impressions
OutputDF (35 obs, 1 var)
Date: OutputDF[[1]]
35 observations from 8/31/15 to 10/4/15
So that is the setup, or at least how I have set it up (all dates formatted properly).
What I need to do is essentially add 2 columns to ouputDF: Daily Impressions & Daily Spend
Daily Impressions = if the date in OutputDF falls within the start and end date of MediaPlanDF then sum up all #dailyimpressions that meet that criteria.
Daily Impressions = if the date in OutputDF falls within the start and end date of MediaPlanDF then sum up all #dailyspend that meet that criteria.
Here is an example of the two DFs:
MediaPlanDF (part i am concerned about):
#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
Thanks for any help in advance.
Im getting this error:
Error in as.POSIXlt.character(as.character(x), ...) : character string is not in a standard unambiguous format
here is the dput
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")
First we need to make sure your date formats etc are correct. I'll assume they are, my versions are at the end. You have't provided a dput and have some weird column names, so double check spacing and capitals.
Next, let's construct an interval object for each campaign from the library lubridate:
library(lubridate)
MediaPlanDF$interval <- interval(MediaPlanDF$Campaign.flight.1, MediaPlanDF$end.date)
Now we can test if each item in outputDF is in each interval, and if so, sum it (your test data has all elements in all intervals):
output <- do.call(rbind, lapply(OutputDF$Date, function(x){
index <- x %within% MediaPlanDF$interval;
list(impressions = sum(MediaPlanDF$dailyimpressions[index]),
spend = sum(MediaPlanDF$dailyspend[index]))}))
Where we get the output:
cbind(output, OutputDF)
impressions spend Date
1 684285.7 3657.143 2015-08-31
2 684285.7 3657.143 2015-09-01
3 684285.7 3657.143 2015-09-02
4 684285.7 3657.143 2015-09-03
5 684285.7 3657.143 2015-09-04
6 684285.7 3657.143 2015-09-05
data:
OutputDF:
structure(list(Date = structure(c(16678, 16679, 16680, 16681,
16682, 16683), class = "Date")), .Names = "Date", row.names = c(NA,
-6L), class = "data.frame")
MediaPlanDF:
structure(list(daysinflight = c(35L, 35L, 35L, 35L), dailyimpressions = c(392857.1429,
85714.28571, 142857.1429, 62857.14286), dailyspend = c(1571.428571,
428.5714286, 714.2857143, 942.8571429), Campaign.name = structure(c(1L,
1L, 1L, 1L), .Label = "A", class = "factor"), Campaign.ID = structure(c(1L,
1L, 1L, 1L), .Label = "Real", class = "factor"), Campaign.flight = structure(c(1L,
1L, 1L, 1L), .Label = "Advertiser", class = "factor"), start.date = structure(c(1L,
1L, 1L, 1L), .Label = "RAND0M", class = "factor"), Campaign.flight.1 = structure(c(16678,
16678, 16678, 16678), class = "Date"), end.date = structure(c(16712,
16712, 16712, 16712), class = "Date")), .Names = c("daysinflight",
"dailyimpressions", "dailyspend", "Campaign.name", "Campaign.ID",
"Campaign.flight", "start.date", "Campaign.flight.1", "end.date"
), row.names = c(NA, -4L), class = "data.frame")
来源：https://stackoverflow.com/questions/33049441/r-if-date-falls-within-range-then-sum