R read dates in format yyyymmdd
date, r
Solution
Your dates are in number format, so R thinks it represents a timestamp (in such case it needs origin of timestamp, usually 1st January 1970). What you want is comprehension from strings, so you should convert your numbers to characters first:
as.Date(as.character(yield.usd$Fecha), format='%Y%m%d')
Problem
I have a dataset, the first column has the date field with yyyymmdd formats. I tried to convert these dates to R format using: ``` yield.usd$Fecha <- as.Date(yield.usd$Fecha, format='%Y%m%d') ``` and the output is: ``` Error in as.Date.numeric(yield.usd$Fecha, format = "%Y%m%d") : 'origin' must be supplied ``` Then I tried: ``` yield.dates <- as.Date(yield.usd[1], format='%Y%m%d') ``` the output as follows: ``` Error in as.Date.default(yield.usd[1], format = "%Y%m%d") : do not know how to convert 'yield.usd[1]' to class “Date” ``` How can I make R read those dates? The `dput(head(yield.usd))` as follows: ``` structure(list(Fecha = c(20120815L, 20120815L, 20120815L, 20120815L, 20120815L, 20120815L), Plazo = 1:6, Soberana = c(0.001529738, 0.001558628, 0.001587518, 0.001616408, 0.001645299, 0.001674189 ), AAA = c(0.009642716, 0.009671607, 0.009700497, 0.009729387, 0.009758277, 0.009787168), AA. = c(0.017483959, 0.01751285, 0.01754174, 0.01757063, 0.01759952, 0.017628411), AA = c(0.017762383, 0.017791273, 0.017820163, 0.017849053, 0.017877944, 0.017906834), AA..1 = c(0.018207843, 0.018236733, 0.018265624, 0.018294514, 0.018323404, 0.018352294 ), A = c(0.036340293, 0.036369183, 0.036398073, 0.036426964, 0.036455854, 0.036484744)), .Names = c("Fecha", "Plazo", "Soberana", "AAA", "AA.", "AA", "AA..1", "A"), row.names = c(NA, 6L), class = "data.frame") ```