我正在尝试使用预测时间序列数据列表绘制时间序列图(最好是3X3)的分面网格。数据嵌套在列表中,属于预测类::预测。
> class(forecasts)
[1] "list"
> class(forecasts$`1_1`)
[1] "forecast"
> head(forecasts, 2)
$`1_1`
Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
Dec 2016 7.370299 7.335176 7.405422 7.316583 7.424015
$`1_10`
Point Forecast Lo 80 Hi 80 Lo 95 Hi 95
Dec 2016 7.396656 7.359845 7.433467 7.340359 7.452953
我想绘制数据,到目前为止我已尝试过:
> map2(forecasts, names(forecasts),
+ function(forecast, time_series) plot(forecast,
+ main= "Blank",
+ bty="n",
+ ylab="Monthly Revenue",
+ xlab="Time"))
然后它返回:
我似乎无法弄清楚如何添加相应的列表标签名称,所以我在其中放置了一个字符串“Blank”作为占位符。
如果有人有任何绘制预测格式时间序列数据列表的解决方案,我将非常感激。
> names(forecasts)
[1] "1_1" "1_10" "1_2" "1_3" "1_4" "1_5" "1_6" "1_7" "1_8" "1_9" "10_1"
[12] "10_10" "10_2" "10_3" "10_4" "10_5" "10_7" "10_8" "10_9" "2_1" "2_10" "2_2"
[23] "2_3" "2_4" "2_5" "2_6" "2_7" "2_8" "2_9" "3_1" "3_10" "3_2" "3_3"
[34] "3_4" "3_5" "3_6" "3_7" "3_8" "3_9" "4_1" "4_10" "4_2" "4_3" "4_4"
[45] "4_5" "4_6" "4_7" "4_8" "4_9" "5_1" "5_10" "5_2" "5_3" "5_4" "5_5"
[56] "5_6" "5_7" "5_8" "5_9" "6_1" "7_1" "7_10" "7_2" "7_3" "7_4" "7_5"
[67] "7_6" "7_7" "7_8" "7_9" "8_1" "8_10" "8_2" "8_3" "8_4" "8_5" "8_6"
[78] "8_7" "8_8" "8_9" "9_1" "9_10" "9_2" "9_3" "9_4" "9_5" "9_6" "9_7"
[89] "9_9"
答案 0 :(得分:1)
您可以使用其中一种
time_series
P.S:您的函数中不需要plot
,因为您未在后续的{{1}}调用中使用它