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我正在使用 R 中的 lattice 包在单个图表上绘制多个时间序列。每次尝试执行此操作时，我都会收到错误消息“强制引入的 NA”。我认为问题在于我在系列中缺少数据（即它们不是连续的，一些系列从较晚的日期开始，等等）。

具体来说：

1: In order(as.numeric(x)) : NAs introduced by coercion
2: In diff(as.numeric(x[ord])) : NAs introduced by coercion

这是我的代码：

library("lattice")
df1 <- structure(list(STRING = c("1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC"
), time = c("2006-04-01", "2006-10-01", "2006-12-01", "2007-02-01", 
"2007-03-01", "2007-04-01", "2007-05-01", "2007-06-01", "2007-07-01", 
"2007-08-01", "2007-09-01", "2007-10-01", "2007-11-01", "2007-12-01", 
"2008-01-01", "2008-02-01", "2008-03-01", "2008-04-01", "2008-05-01", 
"2008-06-01", "2008-07-01", "2008-08-01", "2008-09-01", "2008-10-01", 
"2008-11-01", "2008-12-01", "2009-01-01", "2009-02-01", "2009-03-01", 
"2009-04-01", "2009-05-01", "2009-06-01", "2009-07-01", "2009-08-01", 
"2009-09-01", "2009-10-01", "2009-11-01", "2009-12-01", "2010-01-01", 
"2010-02-01", "2010-03-01", "2010-04-01", "2010-05-01"), ee_qty = c(NA, 
2302, 3434, 1800, 2766, 4408, 6314, 2860, 2476, 1572, 4950, 1812, 
14100, 7591, NA, NA, 11823, NA, NA, 11829, 3836, 5378, 4804, 
4356, 3655, 5955, 1345, 4717, 8854, 11494, 8260, 4330, 8210, 
5875, NA, 10955, 12018, 13052, 5332, 8831, 14260, 4998, NA), 
    ee_amt = c(NA, 33815.88, 60107.4, 66279.2, 66814.46, 129042.18, 
    151649.49, 58576.2, 61984.58, 61782, 102648.16, 67844.4, 
    362371.82, 159274.66, NA, NA, 285847.62, NA, NA, 258045.26, 
    82306.74, 119702.9, 113514.6, 118765.82, 86298.66, 155659.83, 
    40246.14, 134675.59, 236084.63, 256467.56, 210629.14, 99311.04, 
    173380.64, 131071.08, NA, 299148.999999999, 268373.8, 299873.68, 
    78714.6, 230198.46, 310660.74, 96227.82, NA), elite_qty = c(NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, 1281, 3037, 2141, 1764, 
    1661, 1838, 2780, 2627, 2498, 3137, 2238, 2470, 1107, 1886, 
    844, 798, NA, 1588, 1919, 2603, 2680, 2496, 2464, 3041, 3276, 
    5102, 5337, 4140, 5029, 4565, 5570, 6298, NA), elite_amt = c(NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, 34956.08, 48618.37, 58880.59, 
    49141.23, 49067.42, 40105.91, 89717.69, 78612.5, 40608.3599999999, 
    65893.38, 33706.66, 77191.76, 45096.9, 55742.83, 29993.7600000000, 
    27171.22, NA, 1427.23, 2466.64, 54500.19, 66476.09, 66041.74, 
    59235.3, 75234.11, 78109.54, 129537.51, 121485.25, 94928.86, 
    112024.69, 110419.7, 128789.94, 134046.79, NA), Sabry_Qty = c(596, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), Sabry_amt = c(17761.06, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), depo_qty = c(NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, 902, 319, 883, 597, 854, 710, 911, 573, 447, 857, 795, 
    997, 822, 640, 716, 708, 449, 535, 823, 916, 787, NA, NA, 
    NA, NA, NA), depo_amt = c(NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, 31011.68, 13556.65, 32134.72, 
    23106.94, 36681.95, 30220.74, 38051.93, 24941.85, 19337.46, 
    31360.4, 30182.18, 41363.71, 34419.34, 25034.18, 29616, 27125.93, 
    18230.98, 21119.9100000000, 33614.83, 37555.37, 33671.35, 
    NA, NA, NA, NA, NA), tyc_qty = c(NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, 58, 116, 136, 167, 186, 139, 165, 
    169, 337, 219, 207, 210, 280, 366, 393, 216), tyc_amt = c(NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 3103.73, 7538.71, 
    7497.34, 14938.68, 12864.65, 10368.91, 12501.45, 12580.67, 
    28185.21, 17052.22, 15202.93, 16106.3, 19176.72, 24466.38, 
    26443.53, 15373.87), string2 = c("1A AUTO INC", "1A AUTO INC", 
    "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
    "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
    "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
    "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
    "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
    "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
    "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
    "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
    "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
    "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
    "1A AUTO INC")), .Names = c("STRING", "time", "ee_qty", "ee_amt", 
"elite_qty", "elite_amt", "Sabry_Qty", "Sabry_amt", "depo_qty", 
"depo_amt", "tyc_qty", "tyc_amt", "string2"), class = "data.frame", row.names = c(NA, 
43L))

graph1 <- xyplot(ee_amt + elite_amt + Sabry_amt + depo_amt + tyc_amt ~ time, data = df1, type = "1", auto.key = TRUE)
print(graph1)
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1 回答 1

2

我建议这个错误的这个错误的一部分是时间不是正确的time格式，即

is.character(df1$time)

看

df1$random<-1:length(df1[[1]])
graph1 <- xyplot(ee_amt + elite_amt + Sabry_amt + depo_amt + tyc_amt ~ random, data = df1, type = "l", auto.key = TRUE)

编辑：

或正如@plannapus 所建议的那样

df1$time <- as.Date(df1$time)
于 2012-09-04T16:30:21.937 回答