R：创建添加水年列的函数
R: Create Function to Add Water Year Column
我正在尝试在我的数据框中添加一列，列出每个样本的水文水年。水年定义为前一个日历年的 10 月 1 日至 9 月 31 日。例如，WY 2014 从 10/1/2013 开始到 9/31/2014 结束。
我发现了一个类似的问题，在这里得到了回答，并给出了以下代码作为解决方案：
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
}
当我尝试将此应用于我自己的代码时，我不断收到错误消息：
rep(value, length.out = nrows) 错误：尝试复制 'closure'
类型的对象
我将包括一个我的数据框示例以及我对上面给出的解决方案的改编版本。非常感谢任何帮助！
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")
这是我用来添加水年列的代码：
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$year + 1900 + offset
# Return the water year
adj.year
}
您正在将函数（闭包）写入NN_Loads_Calculation$wtr_yr，而不是函数的向量化输出。
因为函数的长度为 1（即只有一个函数），R 会尝试重复它，使其成为与数据框中的列长度相同的函数向量。您不能在 closure 上 运行 rep()，所以这就是代码崩溃的地方。
您需要定义函数然后使用它来计算新值：
## Define the function
get_water_year <- function(date_x = NULL, 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
}
### Write the function output to the df, rather than the function.
NN_Loads_Calculation$wtr_yr <- get_water_year(
date_x = NN_Loads_Calculations$Date.x,
start_month = 9)
我正在尝试在我的数据框中添加一列，列出每个样本的水文水年。水年定义为前一个日历年的 10 月 1 日至 9 月 31 日。例如，WY 2014 从 10/1/2013 开始到 9/31/2014 结束。
我发现了一个类似的问题，在这里得到了回答，并给出了以下代码作为解决方案：
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
}
当我尝试将此应用于我自己的代码时，我不断收到错误消息：
rep(value, length.out = nrows) 错误：尝试复制 'closure'
类型的对象我将包括一个我的数据框示例以及我对上面给出的解决方案的改编版本。非常感谢任何帮助！
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")
这是我用来添加水年列的代码：
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$year + 1900 + offset
# Return the water year
adj.year
}
您正在将函数（闭包）写入NN_Loads_Calculation$wtr_yr，而不是函数的向量化输出。
因为函数的长度为 1（即只有一个函数），R 会尝试重复它，使其成为与数据框中的列长度相同的函数向量。您不能在 closure 上 运行 rep()，所以这就是代码崩溃的地方。
您需要定义函数然后使用它来计算新值：
## Define the function
get_water_year <- function(date_x = NULL, 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
}
### Write the function output to the df, rather than the function.
NN_Loads_Calculation$wtr_yr <- get_water_year(
date_x = NN_Loads_Calculations$Date.x,
start_month = 9)