Question

我希望将以下xts对象中的所有数字转换为数字。

如果有可能，请将NA替换为同一列中的前一个数字

library(xts)
x <- structure(c("1176.67", "1175.37", "1196.10", "1182.90", "1200.30", 
"1183.20", "170.0674", "170.0586", NA, "170.1376", "170.1651", 
"170.1844", "252.10", "252.07", "252.07", "252.23", "252.34", 
"252.40", "616.09", "618.49", "620.44", "624.61", "626.66", "627.92", 
"1.44730", "1.44430", NA, "1.43710", "1.44730", "1.44120", "5238.815", 
"5238.458", "5256.423", "5261.352", "5235.514", "5182.277", "5669.918", 
"5673.797", "5668.293", "5677.272", "5613.539", "5608.027", "399.106", 
"398.800", "399.411", "402.521", "400.797", "401.521"), class = c("xts", 
"zoo"), .indexCLASS = c("POSIXct", "POSIXt"), tclass = c("POSIXct", 
"POSIXt"), .indexTZ = "GMT", tzone = "GMT", index = structure(c(1419292800, 
1419379200, 1419552000, 1419811200, 1419897600, 1419984000),
tzone = "GMT", tclass = c("POSIXct", "POSIXt")), .Dim = c(6L, 8L),
.Dimnames = list(NULL, c("GC1 COMDTY", "IBOXXMJA", "LT01TRUU",
"LT11TRUU", "MEDLCCU", "NDDLUS", "NDDUE15", "NDUEEGF")))

Answer 1

您可以将storage.mode设置为数字。

storage.mode(x) <- "numeric"

但我鼓励您首先查找数据的根本原因/来源。如果对象中的某些值不能表示为数字，则将storage.mode设置为数字可能具有破坏性（如果无法转换任何值，则R将发出警告）。

转换为数字后，您可以使用na.locf使用之前的值填充缺失值。

x <- na.locf(x)

Answer 2

您可以尝试以下方法：

x1 <- apply(x,2,as.numeric)

在xts对象中将字符转换为数字

2 个答案: