R 从apply.monthly以行格式绑定结果
我有月度数据，我正在使用R 从apply.monthly以行格式绑定结果,r,time-series,xts,R,Time Series,Xts,我有月度数据，我正在使用xts包的apply.monthly来处理数据。我想按行汇总结果。使用的代码是 outliersco <- function(daymat){ anom_max <- apply(daymat,1, mean) df=data.frame(day= c(1:length(anom_max)), score=anom_max,month=format(index(daymat[1,]),"%Y-%m")) return(df) } result<-
xtsapply.monthlyoutliersco <- function(daymat){
anom_max <- apply(daymat,1, mean)
df=data.frame(day= c(1:length(anom_max)), score=anom_max,month=format(index(daymat[1,]),"%Y-%m"))
return(df)
}
result<-do.call(rbind,apply.monthly(as.xts(data),outliersco))
day score month
1 205.11 2015-08
.
1 618.38 2015-09
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929.947125752767), .Dim = c(60L, 24L), .Dimnames = list(c("2015-08-01",
"2015-08-02", "2015-08-03", "2015-08-04", "2015-08-05", "2015-08-06",
"2015-08-07", "2015-08-08", "2015-08-09", "2015-08-10", "2015-08-11",
"2015-08-12", "2015-08-13", "2015-08-14", "2015-08-15", "2015-08-16",
"2015-08-17", "2015-08-18", "2015-08-19", "2015-08-20", "2015-08-21",
"2015-08-22", "2015-08-23", "2015-08-24", "2015-08-25", "2015-08-26",
"2015-08-27", "2015-08-28", "2015-08-29", "2015-08-30", "2015-08-31",
"2015-09-01", "2015-09-02", "2015-09-03", "2015-09-04", "2015-09-05",
"2015-09-06", "2015-09-07", "2015-09-08", "2015-09-09", "2015-09-10",
"2015-09-11", "2015-09-12", "2015-09-13", "2015-09-14", "2015-09-15",
"2015-09-16", "2015-09-17", "2015-09-18", "2015-09-19", "2015-09-20",
"2015-09-21", "2015-09-22", "2015-09-23", "2015-09-24", "2015-09-25",
"2015-09-26", "2015-09-27", "2015-09-28", "2015-09-29"), c("00:00:00",
"01:00:00", "02:00:00", "03:00:00", "04:00:00", "05:00:00", "06:00:00",
"07:00:00", "08:00:00", "09:00:00", "10:00:00", "11:00:00", "12:00:00",
"13:00:00", "14:00:00", "15:00:00", "16:00:00", "17:00:00", "18:00:00",
"19:00:00", "20:00:00", "21:00:00", "22:00:00", "23:00:00")))
我不知道为什么
申请。每月不起作用，但从这个
我使用了split
，如下所示
do.call(rbind,lapply(split(as.xts(data),'months'), outliersco))
如果在不使用
do.call（rbind，数据的结构60x24do.call（list，apply.monthly（as.xts（data），outliersco））do.call(rbind,lapply(split(as.xts(data),'months'), outliersco))