I am attempting to add a column to my dataframe that lists the hydrological water year for each sample. A water year is defined as October 1st of the previous calendar year through September 31st. For example, WY 2014 starts 10/1/2013 and ends 9/31/2014.
I found a similar question that was answered here, and the following code was given as a solution:
wtr_yr <- function(dates, start_month=9) {
# Convert dates into POSIXlt
dates.posix = as.POSIXlt(dates)
# Year offset
offset = ifelse(dates.posix$mon >= start_month - 1, 1, 0)
# Water year
adj.year = dates.posix$year + 1900 + offset
# Return the water year
adj.year
}
When I try to apply this to my own code I keep getting the error:
Error in rep(value, length.out = nrows) : attempt to replicate an object of type 'closure'
I will include an example of my dataframe along with my adapted version of the solution given above. Any help is greatly appreciated!
NN_Loads_Calculation <- structure(list(Year = c(2008, 2008, 2008, 2008), Month = c(1,
1, 1, 1), Date.x = structure(c(13879, 13879, 13879, 13879), class = "Date"),
Day.x = c(1L, 1L, 1L, 1L), SAC = c(26912331388.8, 26912331388.8,
26912331388.8, 26912331388.8), YOLO = c(183493168.56, 183493168.56,
183493168.56, 183493168.56), CSMR = c(146794534.848, 146794534.848,
146794534.848, 146794534.848), MOKE = c(433043877.8016, 433043877.8016,
433043877.8016, 433043877.8016), MISC = c(210405499.9488,
210405499.9488, 210405499.9488, 210405499.9488), SJR = c(3425205813.12,
3425205813.12, 3425205813.12, 3425205813.12), CCC = c(107649325.5552,
107649325.5552, 107649325.5552, 107649325.5552), SWP = c(3393400330.5696,
3393400330.5696, 3393400330.5696, 3393400330.5696), CVP = c(2544438604.032,
2544438604.032, 2544438604.032, 2544438604.032), WEST = c(2532205726.128,
2532205726.128, 2532205726.128, 2532205726.128), RIO = c(19797689599.8336,
19797689599.8336, 19797689599.8336, 19797689599.8336), CD = c(3038646871.3536,
3038646871.3536, 3038646871.3536, 3038646871.3536), Day.y = c(31,
31, 31, 31), Drainage = c(4799740774.51718, 4799740774.51718,
4799740774.51718, 4799740774.51718), Diversions = c(130231217.046031,
130231217.046031, 130231217.046031, 130231217.046031), C10A = c(2.36,
2.36, 2.36, 2.36), C3A = c(0.46, 0.46, 0.46, 0.46), D12 = c(NA_real_,
NA_real_, NA_real_, NA_real_), D19 = c(0.91, 0.91, 0.91,
0.91), D22 = c(NA_real_, NA_real_, NA_real_, NA_real_), D26 = c(0.98,
0.98, 0.98, 0.98), D28A = c(1, 1, 1, 1), D4 = c(0.72, 0.72,
0.72, 0.72), MD10A = c(1.95, 1.95, 1.95, 1.95), P8 = c(2.3,
2.3, 2.3, 2.3), Island_Div = c(1.32, 1.32, 1.32, 1.32), Island_Drain = c(1.94033333333333,
1.94033333333333, 1.94033333333333, 1.94033333333333), Date.x.x = structure(c(1199145600,
1199145600, 1199145600, 1199145600), class = c("POSIXct",
"POSIXt"), tzone = "UTC"), Day.x.x = c(1, 1, 1, 1), Stockton_Flow = c(50989496.946,
50989496.946, 50989496.946, 50989496.946), Stockton_NN = c(18.6241666666667,
18.6241666666667, 18.6241666666667, 18.6241666666667), Date.y = structure(c(1199145600,
1199232000, 1199318400, 1199404800), class = c("POSIXct",
"POSIXt"), tzone = "UTC"), Day.y.y = c(1, 2, 3, 4), Tracy_Flow = c(35847849.746,
33992997.964, 33538748.548, 34485101.498), Tracy_NN = c(4.9,
4.9, 4.9, 4.9), Banks_NN = c(1.71, 1.71, 1.71, 1.71), Jones_NN = c(1.71,
1.71, 1.71, 1.71), SAC_kgd = c(12379.672438848, 12379.672438848,
12379.672438848, 12379.672438848), YOLO_kgd = c(84.4068575376,
84.4068575376, 84.4068575376, 84.4068575376), SACYOLO_kgd = c(12464.0792963856,
12464.0792963856, 12464.0792963856, 12464.0792963856), CSMR_kgd = c(286.2493429536,
286.2493429536, 286.2493429536, 286.2493429536), MOKE_kgd = c(844.43556171312,
844.43556171312, 844.43556171312, 844.43556171312), MISC_kgd = c(410.29072490016,
410.29072490016, 410.29072490016, 410.29072490016), EAST_kgd = c(1540.97562956688,
1540.97562956688, 1540.97562956688, 1540.97562956688), SJR_kgd = c(8083.4857189632,
8083.4857189632, 8083.4857189632, 8083.4857189632), STOCKTON_kgd = c(949.636889371797,
949.636889371797, 949.636889371797, 949.636889371797), TRACY_kgd = c(175.6544637554,
166.5656900236, 164.3398678852, 168.9769973402), Islan_Drain_kgd = c(9313.09701615484,
9313.09701615484, 9313.09701615484, 9313.09701615484), Total_Input_kgd = c(32526.9290141977,
32517.8402404659, 32515.6144183275, 32520.2515477825), WEST_kgd = c(1823.18812281216,
1823.18812281216, 1823.18812281216, 1823.18812281216), RIO_kgd = c(14254.3365118802,
14254.3365118802, 14254.3365118802, 14254.3365118802), WESTRIO_kgd = c(16077.5246346923,
16077.5246346923, 16077.5246346923, 16077.5246346923), CCC_kgd = c(107.6493255552,
107.6493255552, 107.6493255552, 107.6493255552), SWP_kgd = c(5802.71456527402,
5802.71456527402, 5802.71456527402, 5802.71456527402), CVP_kgd = c(4350.99001289472,
4350.99001289472, 4350.99001289472, 4350.99001289472), Water_Exp_kg = c(10261.3539037239,
10261.3539037239, 10261.3539037239, 10261.3539037239), Island_Div_kgd = c(171.90520650076,
171.90520650076, 171.90520650076, 171.90520650076), Total_Output_kgd = c(26510.783744917,
26510.783744917, 26510.783744917, 26510.783744917), Delta_Uptake_kgd = c(6016.14526928067,
6007.05649554887, 6004.83067341047, 6009.46780286547), Percent_Uptake = c(18.4958907945311,
18.4731103023059, 18.4675294649386, 18.4791553473554)), row.names = c(NA,
4L), class = "data.frame")
This is the code I tried to use to add the water year column:
NN_Loads_Calculation$wtr_yr <- function(Date.x, start_month=9) {
# Convert dates into POSIXlt
dates.posix = as.POSIXlt(Date.x)
# Year offset
offset = ifelse(dates.posix$mon >= start_month - 1, 1, 0)
# Water year
adj.year = dates.posix$year + 1900 + offset
# Return the water year
adj.year
}