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我正在尝试运行下面的代码,但收到以下错误。该代码使用预测包中的 auto.arima 来确定 arima 模型并将其拟合到某些数据。它还在 xreg 参数中使用回归量。我认为 xreg 中的两列名称可能是问题所在,但我不确定为什么。列的名称类似于“struct.c.NA..NA..211L..”,它们是函数的输出。如果我在 xreg 参数中没有这些列的情况下运行 auto.arima ,它似乎做得很好。非常感谢任何有关如何解决此问题的提示。
代码:
auto.arima(df2_comb[1:100,names(df2_comb)=='ECDD'], xreg = df2_comb[,names(df2_comb)!='ECDD'][1:100,names(df2_comb[,!names(df2_comb)%in%c('ECDD','order_dts')])])
错误:
Error in auto.arima(df2_comb[1:100, names(df2_comb) == "ECDD"], xreg = df2_comb[, :
xreg should be a numeric matrix or vector
数据:
dput(df2_comb[1:100,])
structure(list(ECDD = c(319.4, 319.4, 319.4, 319.4, 319.4, 319.4,
319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4,
319.4, 319.4, 319.4, 319.4, 198, 142, 254, 178, 97, 113, 116,
109, 127, 102, 99, 107, 109, 89, 101, 106, 319.4, 319.4, 319.4,
319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 257, 169, 191, 115,
121, 121, 108, 110, 105, 93, 103, 93, 107, 99, 113, 319.4, 319.4,
319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 237,
106, 108, 108, 117, 99, 105, 108, 100, 93, 88, 105, 95, 109,
319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 319.4, 192,
169, 319.4, 136, 108, 163, 136, 114, 116), order_dts = c("2017-12-31 09:00:00",
"2017-12-31 10:00:00", "2017-12-31 11:00:00", "2017-12-31 12:00:00",
"2017-12-31 13:00:00", "2017-12-31 14:00:00", "2017-12-31 15:00:00",
"2017-12-31 16:00:00", "2017-12-31 17:00:00", "2017-12-31 18:00:00",
"2017-12-31 19:00:00", "2017-12-31 20:00:00", "2017-12-31 21:00:00",
"2017-12-31 22:00:00", "2017-12-31 23:00:00", "2018-01-01 00:00:00",
"2018-01-01 01:00:00", "2018-01-01 02:00:00", "2018-01-01 03:00:00",
"2018-01-01 04:00:00", "2018-01-01 05:00:00", "2018-01-01 06:00:00",
"2018-01-01 07:00:00", "2018-01-01 08:00:00", "2018-01-01 09:00:00",
"2018-01-01 10:00:00", "2018-01-01 11:00:00", "2018-01-01 12:00:00",
"2018-01-01 13:00:00", "2018-01-01 14:00:00", "2018-01-01 15:00:00",
"2018-01-01 16:00:00", "2018-01-01 17:00:00", "2018-01-01 18:00:00",
"2018-01-01 19:00:00", "2018-01-01 20:00:00", "2018-01-01 21:00:00",
"2018-01-01 22:00:00", "2018-01-01 23:00:00", "2018-01-02 00:00:00",
"2018-01-02 01:00:00", "2018-01-02 02:00:00", "2018-01-02 03:00:00",
"2018-01-02 04:00:00", "2018-01-02 05:00:00", "2018-01-02 06:00:00",
"2018-01-02 07:00:00", "2018-01-02 08:00:00", "2018-01-02 09:00:00",
"2018-01-02 10:00:00", "2018-01-02 11:00:00", "2018-01-02 12:00:00",
"2018-01-02 13:00:00", "2018-01-02 14:00:00", "2018-01-02 15:00:00",
"2018-01-02 16:00:00", "2018-01-02 17:00:00", "2018-01-02 18:00:00",
"2018-01-02 19:00:00", "2018-01-02 20:00:00", "2018-01-02 21:00:00",
"2018-01-02 22:00:00", "2018-01-02 23:00:00", "2018-01-03 00:00:00",
"2018-01-03 01:00:00", "2018-01-03 02:00:00", "2018-01-03 03:00:00",
"2018-01-03 04:00:00", "2018-01-03 05:00:00", "2018-01-03 06:00:00",
"2018-01-03 07:00:00", "2018-01-03 08:00:00", "2018-01-03 09:00:00",
"2018-01-03 10:00:00", "2018-01-03 11:00:00", "2018-01-03 12:00:00",
"2018-01-03 13:00:00", "2018-01-03 14:00:00", "2018-01-03 15:00:00",
"2018-01-03 16:00:00", "2018-01-03 17:00:00", "2018-01-03 18:00:00",
"2018-01-03 19:00:00", "2018-01-03 20:00:00", "2018-01-03 21:00:00",
"2018-01-03 22:00:00", "2018-01-03 23:00:00", "2018-01-04 00:00:00",
"2018-01-04 01:00:00", "2018-01-04 02:00:00", "2018-01-04 03:00:00",
"2018-01-04 04:00:00", "2018-01-04 05:00:00", "2018-01-04 06:00:00",
"2018-01-04 07:00:00", "2018-01-04 08:00:00", "2018-01-04 09:00:00",
"2018-01-04 10:00:00", "2018-01-04 11:00:00", "2018-01-04 12:00:00"
), structure.c.NA..NA..211L..211L..211L..211L..211L..211L..211L.. = c(0,
0, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211,
211, 211, 211, 211, 211, 211, 211, 131, 94, 168, 117, 64, 75,
77, 72, 84, 67, 65, 71, 72, 59, 67, 70, 211, 211, 211, 211, 211,
211, 211, 211, 211, 170, 112, 126, 76, 80, 80, 71, 73, 69, 61,
68, 61, 71, 65, 75, 211, 211, 211, 211, 211, 211, 211, 211, 211,
211, 156, 70, 71, 71, 77, 65, 69, 71, 66, 61, 58, 69, 63, 72,
211, 211, 211, 211, 211, 211, 211, 211, 127, 112, 211, 90, 71,
108, 90), structure.c.NA..NA..NA..NA..48L..48L..48L..48L..48L..48L..48L.. = c(0,
0, 0, 0, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48,
48, 48, 48, 48, 48, 48, 30, 21, 38, 27, 15, 17, 17, 16, 19, 15,
15, 16, 16, 13, 15, 16, 48, 48, 48, 48, 48, 48, 48, 48, 48, 39,
25, 29, 17, 18, 18, 16, 16, 16, 14, 15, 14, 16, 15, 17, 48, 48,
48, 48, 48, 48, 48, 48, 48, 48, 36, 16, 16, 16, 18, 15, 16, 16,
15, 14, 13, 16, 14, 16, 48, 48, 48, 48, 48, 48, 48, 48, 29, 25,
48, 20, 16), S1 = c(1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,
0, 0), S2 = c(0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0
), S3 = c(0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0),
S4 = c(0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1), S5 = c(0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S6 = c(0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0), S7 = c(0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0), S8 = c(0, 0, 0, 0, 0, 0, 0, 1,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S9 = c(0,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0), S10 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S11 = c(0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0), S12 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0), S13 = c(0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S14 = c(0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0), S15 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S16 = c(0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0), S17 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0), S18 = c(0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), S19 = c(0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
0, 0, 0, 0), S20 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0), S21 = c(0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,
0), S22 = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 0, 0, 0, 0, 0, 0), S23 = c(0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0)), row.names = c(NA,
100L), class = "data.frame")
最佳答案
library(forecast)
## it works
auto.arima(df2_comb[1:100,names(df2_comb)=='ECDD'], xreg = as.matrix(df2_comb[,names(df2_comb)!='ECDD'][1:100,names(df2_comb[,!names(df2_comb)%in%c('ECDD','order_dts')])]))
## it fails
colnames(df2_comb)[3]<- "structure_211"
colnames(df2_comb)[4]<- "structure_48"
auto.arima(df2_comb[1:100,names(df2_comb)=='ECDD'], xreg = df2_comb[,names(df2_comb)!='ECDD'][1:100,names(df2_comb[,!names(df2_comb)%in%c('ECDD','order_dts')])])
它与名称无关,正如您所看到的,如果您更改它们,也会以同样的方式失败。但是如果你使用 xreg as.matrix 应该可以解决问题!
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我的错误 /usr/bin/ld: errno: TLS definition in /lib/libc.so.6 section .tbss mismatches non-TLS reference
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根据Microsoft DataConnectors的信息我想通过 this ODBC driver 创建一个从 PowerBi 到 PostgreSQL 的连接器使用直接查询。我重用了 Micros
我已经为 SoundManagement 创建了一个包,其中有一个扩展 MediaPlayer 的类。我希望全局控制这个变量。这是我的代码: package soundmanagement; impo
我在Heroku上部署了一个应用程序。我正在使用免费服务。 我经常收到以下错误消息。 PG::Error: ERROR: out of memory 如果刷新浏览器,就可以了。但是随后,它又随机发生
我正在运行 LAMP 服务器,这个 .htaccess 给我一个 500 错误。其作用是过滤关键字并重定向到相应的域名。 Options +FollowSymLinks RewriteEngine
我有两个驱动器 A 和 B。使用 python 脚本,我在“A”驱动器中创建一些文件,并运行 powerscript,该脚本以 1 秒的间隔将驱动器 A 中的所有文件复制到驱动器 B。 我在 powe
下面的函数一直返回这个错误信息。我认为可能是 double_precision 字段类型导致了这种情况,我尝试使用 CAST,但要么不是这样,要么我没有做对...帮助? 这是错误: ERROR: i
这个问题已经有答案了: Syntax error due to using a reserved word as a table or column name in MySQL (1 个回答) 已关闭
我的数据库有这个小问题。 我创建了一个表“articoli”,其中包含商品的品牌、型号和价格。 每篇文章都由一个 id (ID_ARTICOLO)` 定义,它是一个自动递增字段。 好吧,现在当我尝试插
我是新来的。我目前正在 DeVry 在线学习中级 C++ 编程。我们正在使用 C++ Primer Plus 这本书,到目前为止我一直做得很好。我的老师最近向我们扔了一个曲线球。我目前的任务是这样的:
这个问题在这里已经有了答案: What is an undefined reference/unresolved external symbol error and how do I fix it?
我的网站中有一段代码有问题;此错误仅发生在 Internet Explorer 7 中。 我没有在这里发布我所有的 HTML/CSS 标记,而是发布了网站的一个版本 here . 如您所见,我在列中有
如果尝试在 USB 设备上构建 node.js 应用程序时在我的树莓派上使用 npm 时遇到一些问题。 package.json 看起来像这样: { "name" : "node-todo",
在 Python 中,您有 None单例,在某些情况下表现得很奇怪: >>> a = None >>> type(a) >>> isinstance(a,None) Traceback (most
这是我的 build.gradle (Module:app) 文件: apply plugin: 'com.android.application' android { compileSdkV
我是 android 的新手,我的项目刚才编译和运行正常,但在我尝试实现抽屉导航后,它给了我这个错误 FAILURE: Build failed with an exception. What wen
谁能解释一下?我想我正在做一些非常愚蠢的事情,并且急切地等待着启蒙。 我得到这个输出: phpversion() == 7.2.25-1+0~20191128.32+debian8~1.gbp108
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