I want to convert a data.frame
to a zoo object. My df
looks like that:
> (str(StockPriceReturns))
'data.frame': 3036 obs. of 2 variables:
$ Date : Factor w/ 3036 levels "01.01.2002","01.01.2003",..: 1 102 202 301 600 701 802 902 1001 1300 ...
$ TotalReturns: num 183 183 186 191 191 ...
NULL
What I tried:
directly:
Here I am getting an error...
> (z1 <- read.zoo(StockPriceReturns, drop=FALSE))
Error in read.zoo(StockPriceReturns, drop = FALSE) :
index has 3036 bad entries at data rows: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 ...
function:
I am getting an error too ;(
dfToZoo <- function(df) {
require(zoo)
date <- as.Date(df[, 1], format = '%d.%m.%y')
with(df, zoo(date,freq))
}
> (z1 <- dfToZoo(StockPriceReturns))
Error in MATCH(order.by, order.by) : object 'freq' not found
My question is what is a better way to convert a data.frame
to a zoo object? How to properly do that?
I appreciate your reply