I have this data in a CSV:
Date ALICORC1 ALT ATACOBC1 AUSTRAC1 CONTINC1 BVN DNT
40886 5.8 0.1 0.9 0.28 5.45 38.2 1.11
40889 5.8
csv stands for comma-separated-values so the layout shown in the question is not csv. We will assume that the data really is in csv form and not in the form shown the question. If it truly is in the form shown in the question rather than csv then omit the sep=","
argument in read.zoo
below. Also if there are other deviations you may need to modify the arguments further. See ?read.zoo
and the Reading Data in Zoo vignette in the zoo package.
Here we use read.zoo
in the zoo package to read in the data as a zoo object, z
, and then we convert it to xts, x
.
See R News 4/1 which specifically treats date handling of Excel dates noting that we may need to modify the code below slightly if the Mac version of Excel is being used (as described there in the reference).
library(xts) # this also loads zoo which has read.zoo
toDate <- function(x) as.Date(x, origin = "1899-12-30")
z <- read.zoo("myfile.csv", header = TRUE, sep = ",", FUN = toDate)
x <- as.xts(z)