When Time Series data is offset and incomplete












0














A new client at work has a fiscal calendar that starts in March and ends in February of the following year:



fiscalMonthLabels <- c("March", "April", "May", "June", 
"July", "August", "September", "October",
"November", "December", "January", "February")


But, because they are new, we only have a few months' worth of data:



library(lubridate)
rawDate <- c("2018-09-01", "2018-10-01", "2018-11-01")
actualMonth <- month(rawDate)
newMonth <- rep(0, length(actualMonth))
for (i in 1:length(actualMonth)) {
if (actualMonth[i] == 1) {newMonth[i] <- 11}
else if (actualMonth[i] == 2) {newMonth[i] <- 12}
else {newMonth[i] <- actualMonth[i] - 2}
}
revenue <- c(123, 456, 789)

df <- data.frame(rawDate, actualMonth, newMonth, revenue)
df
rawDate actualMonth newMonth revenue
1 2018-09-01 9 7 123
2 2018-10-01 10 8 456
3 2018-11-01 11 9 789


So when I try to create a new factor with the fiscal month, this is the error I get:



fiscalMonth <- factor(newMonth, labels = fiscalMonthLabels)

Error in factor(newMonth, labels = fiscalMonthLabels) :
invalid 'labels'; length 12 should be 1 or 3


It seems like the factor command is looking for actualMonth to contain all twelve possible values in it. How do I get around this issue?










share|improve this question
























  • I made an edit, just so it's clear that the new months will be numbered appropriately to reflect the calendar shift.
    – mmyoung77
    Nov 12 at 16:57
















0














A new client at work has a fiscal calendar that starts in March and ends in February of the following year:



fiscalMonthLabels <- c("March", "April", "May", "June", 
"July", "August", "September", "October",
"November", "December", "January", "February")


But, because they are new, we only have a few months' worth of data:



library(lubridate)
rawDate <- c("2018-09-01", "2018-10-01", "2018-11-01")
actualMonth <- month(rawDate)
newMonth <- rep(0, length(actualMonth))
for (i in 1:length(actualMonth)) {
if (actualMonth[i] == 1) {newMonth[i] <- 11}
else if (actualMonth[i] == 2) {newMonth[i] <- 12}
else {newMonth[i] <- actualMonth[i] - 2}
}
revenue <- c(123, 456, 789)

df <- data.frame(rawDate, actualMonth, newMonth, revenue)
df
rawDate actualMonth newMonth revenue
1 2018-09-01 9 7 123
2 2018-10-01 10 8 456
3 2018-11-01 11 9 789


So when I try to create a new factor with the fiscal month, this is the error I get:



fiscalMonth <- factor(newMonth, labels = fiscalMonthLabels)

Error in factor(newMonth, labels = fiscalMonthLabels) :
invalid 'labels'; length 12 should be 1 or 3


It seems like the factor command is looking for actualMonth to contain all twelve possible values in it. How do I get around this issue?










share|improve this question
























  • I made an edit, just so it's clear that the new months will be numbered appropriately to reflect the calendar shift.
    – mmyoung77
    Nov 12 at 16:57














0












0








0







A new client at work has a fiscal calendar that starts in March and ends in February of the following year:



fiscalMonthLabels <- c("March", "April", "May", "June", 
"July", "August", "September", "October",
"November", "December", "January", "February")


But, because they are new, we only have a few months' worth of data:



library(lubridate)
rawDate <- c("2018-09-01", "2018-10-01", "2018-11-01")
actualMonth <- month(rawDate)
newMonth <- rep(0, length(actualMonth))
for (i in 1:length(actualMonth)) {
if (actualMonth[i] == 1) {newMonth[i] <- 11}
else if (actualMonth[i] == 2) {newMonth[i] <- 12}
else {newMonth[i] <- actualMonth[i] - 2}
}
revenue <- c(123, 456, 789)

df <- data.frame(rawDate, actualMonth, newMonth, revenue)
df
rawDate actualMonth newMonth revenue
1 2018-09-01 9 7 123
2 2018-10-01 10 8 456
3 2018-11-01 11 9 789


So when I try to create a new factor with the fiscal month, this is the error I get:



fiscalMonth <- factor(newMonth, labels = fiscalMonthLabels)

Error in factor(newMonth, labels = fiscalMonthLabels) :
invalid 'labels'; length 12 should be 1 or 3


It seems like the factor command is looking for actualMonth to contain all twelve possible values in it. How do I get around this issue?










share|improve this question















A new client at work has a fiscal calendar that starts in March and ends in February of the following year:



fiscalMonthLabels <- c("March", "April", "May", "June", 
"July", "August", "September", "October",
"November", "December", "January", "February")


But, because they are new, we only have a few months' worth of data:



library(lubridate)
rawDate <- c("2018-09-01", "2018-10-01", "2018-11-01")
actualMonth <- month(rawDate)
newMonth <- rep(0, length(actualMonth))
for (i in 1:length(actualMonth)) {
if (actualMonth[i] == 1) {newMonth[i] <- 11}
else if (actualMonth[i] == 2) {newMonth[i] <- 12}
else {newMonth[i] <- actualMonth[i] - 2}
}
revenue <- c(123, 456, 789)

df <- data.frame(rawDate, actualMonth, newMonth, revenue)
df
rawDate actualMonth newMonth revenue
1 2018-09-01 9 7 123
2 2018-10-01 10 8 456
3 2018-11-01 11 9 789


So when I try to create a new factor with the fiscal month, this is the error I get:



fiscalMonth <- factor(newMonth, labels = fiscalMonthLabels)

Error in factor(newMonth, labels = fiscalMonthLabels) :
invalid 'labels'; length 12 should be 1 or 3


It seems like the factor command is looking for actualMonth to contain all twelve possible values in it. How do I get around this issue?







r






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 12 at 16:56

























asked Nov 12 at 16:43









mmyoung77

356211




356211












  • I made an edit, just so it's clear that the new months will be numbered appropriately to reflect the calendar shift.
    – mmyoung77
    Nov 12 at 16:57


















  • I made an edit, just so it's clear that the new months will be numbered appropriately to reflect the calendar shift.
    – mmyoung77
    Nov 12 at 16:57
















I made an edit, just so it's clear that the new months will be numbered appropriately to reflect the calendar shift.
– mmyoung77
Nov 12 at 16:57




I made an edit, just so it's clear that the new months will be numbered appropriately to reflect the calendar shift.
– mmyoung77
Nov 12 at 16:57












1 Answer
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You're going to want to assign the levels too:



fiscalMonth <- factor(actualMonth, levels = 1:12, labels = fiscalMonthLabels)
fiscalMonth
[1] November December January
Levels: March April May June July August September October November December January February


Alternatively, since you're using lubridate::month, you could just pass the label argument to month, which will return an ordered factor:



fiscalMonth <- month(actualMonth, label = TRUE)
[1] Sep Oct Nov
Levels: Jan < Feb < Mar < Apr < May < Jun < Jul < Aug < Sep < Oct < Nov < Dec





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    You're going to want to assign the levels too:



    fiscalMonth <- factor(actualMonth, levels = 1:12, labels = fiscalMonthLabels)
    fiscalMonth
    [1] November December January
    Levels: March April May June July August September October November December January February


    Alternatively, since you're using lubridate::month, you could just pass the label argument to month, which will return an ordered factor:



    fiscalMonth <- month(actualMonth, label = TRUE)
    [1] Sep Oct Nov
    Levels: Jan < Feb < Mar < Apr < May < Jun < Jul < Aug < Sep < Oct < Nov < Dec





    share|improve this answer


























      1














      You're going to want to assign the levels too:



      fiscalMonth <- factor(actualMonth, levels = 1:12, labels = fiscalMonthLabels)
      fiscalMonth
      [1] November December January
      Levels: March April May June July August September October November December January February


      Alternatively, since you're using lubridate::month, you could just pass the label argument to month, which will return an ordered factor:



      fiscalMonth <- month(actualMonth, label = TRUE)
      [1] Sep Oct Nov
      Levels: Jan < Feb < Mar < Apr < May < Jun < Jul < Aug < Sep < Oct < Nov < Dec





      share|improve this answer
























        1












        1








        1






        You're going to want to assign the levels too:



        fiscalMonth <- factor(actualMonth, levels = 1:12, labels = fiscalMonthLabels)
        fiscalMonth
        [1] November December January
        Levels: March April May June July August September October November December January February


        Alternatively, since you're using lubridate::month, you could just pass the label argument to month, which will return an ordered factor:



        fiscalMonth <- month(actualMonth, label = TRUE)
        [1] Sep Oct Nov
        Levels: Jan < Feb < Mar < Apr < May < Jun < Jul < Aug < Sep < Oct < Nov < Dec





        share|improve this answer












        You're going to want to assign the levels too:



        fiscalMonth <- factor(actualMonth, levels = 1:12, labels = fiscalMonthLabels)
        fiscalMonth
        [1] November December January
        Levels: March April May June July August September October November December January February


        Alternatively, since you're using lubridate::month, you could just pass the label argument to month, which will return an ordered factor:



        fiscalMonth <- month(actualMonth, label = TRUE)
        [1] Sep Oct Nov
        Levels: Jan < Feb < Mar < Apr < May < Jun < Jul < Aug < Sep < Oct < Nov < Dec






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 12 at 16:49









        JasonAizkalns

        10.9k42976




        10.9k42976






























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