在子圖中忽略NA的動物園對象的繪圖時間序列：s

我有一個包含10組的動物園對象，其中每個組都包含NA值，我試圖創建一個繪圖，其中每組的值都隨時間繪製在一個小區裏，忽略NA：s。我希望所有的小組都能在整個時間段內進行繪製，如果它只包含部分時間段的值，那麼就會發生。我試圖使用na.exclude和na.pass，但它不起作用。在子圖中忽略NA的動物園對象的繪圖時間序列：s

這是我的數據：

structure(c(-4.10947262625989, NA, -6.35834864986063, NA, -5.91266537625275, 
NA, -6.52008097909069, NA, -5.2902016879408, NA, -3.11303759188572, 
NA, -0.306205546663778, NA, -1.16249420065793, NA, -3.33688404352456, 
NA, -8.13394337994639, NA, -4.97829512928346, NA, -4.91184324092269, 
NA, -0.426243026538591, NA, -2.47957454922956, NA, -3.3329046491404, 
NA, -4.36366791265756, NA, -6.1055782340265, NA, -6.2094702018437, 
NA, -2.96526179126904, NA, -3.36132436304139, NA, -1.06078300406145, 
NA, -0.656336560364218, NA, -2.04074053746388, NA, -4.99967426633704, 
NA, -4.04800553172208, NA, -3.31189396136818, NA, -2.36440148960283, 
NA, -1.18900512784083, NA, -3.05795867861728, NA, NA, NA, -4.97174143754589, 
NA, -6.23509102350769, NA, -5.89843588741174, NA, -4.18645165800088, 
NA, -2.0212883057441, NA, -1.04550830382834, NA, -1.27999574705108, 
NA, -3.14638335358303, NA, -3.86222685146702, NA, -4.21772272823727, 
NA, -2.58543072976183, NA, -2.48846140494414, NA, -2.22821228166982, 
NA, NA, NA, NA, NA, -5.28108123680546, NA, -6.06192246724695, 
NA, -4.56130486243214, NA, -2.74677229492713, NA, -1.7789934443997, 
NA, -1.44728905496209, NA, -2.08633334103407, NA, -2.99380214399451, 
NA, -4.04643083407379, NA, -3.43524805580059, NA, -2.5415459951728, 
NA, -2.75734663004611, NA, NA, NA, NA, NA, NA, NA, -5.1830394775654, 
NA, -4.8164568203158, NA, -3.18719721106969, NA, -2.37873600997152, 
NA, -2.00135150333387, NA, -2.08291969862349, NA, -2.25691836415158, 
NA, -3.23822518515935, NA, -3.52333679362043, NA, -3.32001852877501, 
NA, -2.75530170365368, NA, NA, NA, NA, NA, NA, NA, NA, NA, -4.60120959896844, 
NA, -3.49697326894922, NA, -2.75887253351057, NA, -2.4962239838783, 
NA, -2.46788431125548, NA, -2.2640901134155, NA, -2.51329703125672, 
NA, -2.9862663107103, NA, -3.44439144612439, NA, -3.3266447343254, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, -3.60784867185276, 
NA, -3.07207080168394, NA, -2.81269574155185, NA, -2.86157315340287, 
NA, -2.52790961472606, NA, -2.49684311839687, NA, -2.42078499136711, 
NA, -2.98180846872684, NA, -3.40641608489269, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, -3.23223720384766, NA, -3.10313101000138, 
NA, -3.11608282590682, NA, -2.85334053214087, NA, -2.70174906729397, 
NA, -2.44411673514141, NA, -2.46253325647867, NA, -2.99992356599436, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, -3.24370475890788, 
NA, -3.36581515217865, NA, -3.08076778703707, NA, -2.98623115636078, 
NA, -2.61154777515114, NA, -2.49224003994964, NA, -2.52774960963835, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, -3.45699179158273, NA, -3.28582189621058, NA, -3.19061533966329, 
NA, -2.87595330453915, NA, -2.63679933171846, NA, -2.55051771717749, 
NA, NA, NA, NA, NA, NA, NA, NA, NA), .Dim = c(29L, 10L), .Dimnames = list(
    NULL, c("structure(c(-4.10947262625989, -7.35834864986063, -5.91266537625275, ", 
    "structure(c(-4.36366791265756, -6.1055782340265, -6.2094702018437, ", 
    "structure(c(-4.97174143754589, -6.23509102350769, -5.89843588741174, ", 
    "structure(c(-5.28108123680546, -6.06192246724695, -4.56130486243214, ", 
    "structure(c(-5.1830394775654, -4.8164568203158, -3.18719721106969, ", 
    "structure(c(-4.60120959896844, -3.49697326894922, -2.75887253351057, ", 
    "structure(c(-3.60784867185276, -3.07207080168394, -2.81269574155185, ", 
    "structure(c(-3.23223720384766, -3.10313101000138, -3.11608282590682, ", 
    "structure(c(-3.24370475890788, -3.36581515217865, -3.08076778703707, ", 
    "structure(c(-3.45699179158273, -3.28582189621058, -3.19061533966329, " 
    )), index = structure(c(17393.375, 17393.875, 17394.375, 
17394.875, 17395.375, 17395.875, 17396.375, 17396.875, 17397.375, 
17397.875, 17398.375, 17398.875, 17399.375, 17399.875, 17400.375, 
17400.875, 17401.375, 17401.875, 17402.375, 17402.875, 17403.375, 
17403.875, 17404.375, 17404.875, 17405.375, 17405.875, 17406.375, 
17406.875, 17407.375), format = structure(c("m/d/y", "h:m:s"), .Names = c("dates", 
"times")), origin = c(1, 1, 1970), class = c("chron", "dates", 
"times")), class = "zoo")

有沒有人對如何做到這一點r中的一些想法？提前致謝！

來源

2017-10-10 Nicolle

在您的數據中，值之間總是存在NA，所以當您說「忽略NA」時，我假設您的意思是連接點，即使在兩者之間存在NA也是如此。

首先，我們明確地加載動物園庫：

library(zoo)

然後，我們將數據保存到一個變量：

z <- structure(c(-4.10947262625989, NA, -6.35834864986063, NA, -5.91266537625275, 
      NA, -6.52008097909069, NA, -5.2902016879408, NA, -3.11303759188572, 
      NA, -0.306205546663778, NA, -1.16249420065793, NA, -3.33688404352456, 
      NA, -8.13394337994639, NA, -4.97829512928346, NA, -4.91184324092269, 
# I'm not pasting the whole data block, but you get the idea

然後，我們用動物園的所有插在NAS現有值之間，但我們不插在頭/尾遺漏值：

filled <- na.fill(z, list(NA, "extend", NA))

動物園packag e的在動物園對象

autoplot(filled, facets = NULL) + 
    theme(legend.position="none")

所以在這裏繪製所有系列的功能就是我們會回來：

來源

2017-10-10 18:40:42 Runic

在子圖中忽略NA的動物園對象的繪圖時間序列：s

回答

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