my dataset is missing name for the first column (there are dates in it)
I tried colnames(managers)[1] <- "date"
but it renamed the second column
> #load data
> data(managers)
> colnames(managers)[1] <- "date"
> View(head(managers,10))
> str(managers)
An ‘xts’ object on 1996-01-31/2006-12-31 containing:
Data: num [1:132, 1:10] 0.0074 0.0193 0.0155 -0.0091 0.0076 -0.0039 -0.0231 0.0395 0.0147 0.0288 ...
- attr(*, "dimnames")=List of 2
..$ : NULL
..$ : chr [1:10] "date" "HAM2" "HAM3" "HAM4" ...
Indexed by objects of class: [Date] TZ: UTC
xts Attributes:
NULL
The 'managers' is an xts
object and the dates are the index
library(PerformanceAnalytics)
index(managers)
#[1] "1996-01-31" "1996-02-29" "1996-03-31" "1996-04-30" "1996-05-31" "1996-06-30" ...
The columns of the dataset are
colnames(managers)
#[1] "HAM1" "HAM2" "HAM3" "HAM4" "HAM5" "HAM6" "EDHEC LS EQ" "SP500 TR" "US 10Y TR" "US 3m TR"
If we want to convert it to data.frame
, then use fortify.zoo
library(zoo)
managers1 <- fortify.zoo(managers)
colnames(managers)[1] <- 'date'
Or specify the names
in fortify.zoo
managers1 <- fortify.zoo(managers, names = "date")