2
My data frame
x=structure(list(V1 = structure(c(33L, 35L, 36L, 37L, 39L, 4L,
6L, 7L, 8L, 10L, 14L, 16L, 18L, 19L, 21L, 25L, 27L, 28L, 29L,
30L, 1L, 17L, 31L, 32L, 34L, 38L, 40L, 2L, 3L, 5L, 9L, 11L, 12L,
13L, 15L, 20L, 22L, 23L, 24L, 26L), .Label = c("1-Feb-71", "10-Feb-71",
"11-Feb-71", "11-Jan-71", "12-Feb-71", "12-Jan-71", "13-Jan-71",
"14-Jan-71", "15-Feb-71", "15-Jan-71", "16-Feb-71", "17-Feb-71",
"18-Feb-71", "18-Jan-71", "19-Feb-71", "19-Jan-71", "2-Feb-71",
"20-Jan-71", "21-Jan-71", "22-Feb-71", "22-Jan-71", "23-Feb-71",
"24-Feb-71", "25-Feb-71", "25-Jan-71", "26-Feb-71", "26-Jan-71",
"27-Jan-71", "28-Jan-71", "29-Jan-71", "3-Feb-71", "4-Feb-71",
"4-Jan-71", "5-Feb-71", "5-Jan-71", "6-Jan-71", "7-Jan-71", "8-Feb-71",
"8-Jan-71", "9-Feb-71"), class = "factor"), V2 = structure(c(1L,
15L, 2L, 4L, 3L, 5L, 10L, 5L, 7L, 12L, 8L, 16L, 16L, 22L, 16L,
19L, 22L, 12L, 17L, 23L, 24L, 24L, 21L, 17L, 19L, 16L, 6L, 11L,
9L, 25L, 25L, 8L, 5L, 13L, 20L, 18L, 16L, 13L, 12L, 14L), .Label = c("7.1359",
"7.1367", "7.1382", "7.1386", "7.1390", "7.1397", "7.1403", "7.1406",
"7.1410", "7.1411", "7.1412", "7.1414", "7.1418", "7.1420", "7.1422",
"7.1429", "7.1431", "7.1434", "7.1435", "7.1437", "7.1439", "7.1443",
"7.1445", "7.1465", "ND"), class = "factor")), .Names = c("V1",
"V2"), class = "data.frame", row.names = c(NA, -40L))
How do I convert V1 column to date?
I do it:
x$V1 <- as.Date(x$V1, format="%d-%m-%Y")
, but get out <NA>
.
Thank you, Marcus, but it continues to appear NA s. My historical series is bigger. I edited it in the question.
– Linkman
It is a very large txt file. Several dates are fixed and others continue to appear.
– Linkman
The code I passed solves the problem posed in the question, for the informed data frame. I can’t evaluate the problem of NA appearing in some other vector position if I don’t have access to this position.
– Marcus Nunes