是否有一种简单的方法可以将行（而不是列）更改为更大数据框中的日期类？
我想要做的就是让数据框的第一行是与每列中所有数据相关的日期（特别是月末）。但是，当我将日期转换为变通方法（首先以列形式转换为日期，然后转置为行并切换到数据框）时，日期会转换回因子（如下所示）。
datetemp$monthdate <- as.Date(datetemp$Month, '%m/%d/%Y')
monthdates <- as.data.frame(t(datetemp))
monthrow <- monthdates[-1, ] #to delete first row and leave a 1x121 df
row.names(monthrow) <- NULL
class(monthrow[1, 2]) #this is factor, not date as desired
我还尝试将日期列表保留为日期格式（下面的daterow3是Date [121]格式）。但是当我尝试将日期行绑定到稍后的数据帧时，它会给出下面的错误，即使原始列表和日期列表都有121列。
datecol <- datetemp[, -1]
daterow2 <- t(datecol)
daterow3 <- unname(daterow2)
# Error in rbind(deparse.level, ...) :
# numbers of columns of arguments do not match
如果可能的话，请分享一个明智的解决方法，这样我就可以在df的第一行而不是第一列中显示日期。谢谢你的帮助。
***编辑：根据要求，下面的datetemp对象：
structure(list(Month = structure(c(121L, 1L, 41L, 51L, 61L, 71L,
81L, 91L, 101L, 111L, 11L, 21L, 31L, 2L, 42L, 52L, 62L, 72L,
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83L, 93L, 103L, 113L, 13L, 23L, 33L, 4L, 49L, 54L, 64L, 74L,
84L, 94L, 104L, 114L, 14L, 24L, 34L, 5L, 44L, 55L, 65L, 75L,
85L, 95L, 105L, 115L, 15L, 25L, 35L, 6L, 45L, 56L, 66L, 76L,
86L, 96L, 106L, 116L, 16L, 26L, 36L, 7L, 46L, 57L, 67L, 77L,
87L, 97L, 107L, 117L, 17L, 27L, 37L, 8L, 50L, 58L, 68L, 78L,
88L, 98L, 108L, 118L, 18L, 28L, 38L, 9L, 47L, 59L, 69L, 79L,
89L, 99L, 109L, 119L, 19L, 29L, 39L, 10L, 48L, 60L, 70L, 80L,
90L, 100L, 110L, 120L, 20L, 30L, 40L), .Names = c("CUSIP", "X12.31.2004.1.31.2005",
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