Reputation: 443
I have the following sample data and trying to calculate compounded returns from the prices below.
sample_data <- data.frame(Date = c ("2017-01-31", "2017-02-28", "2017-03-31",
"2017-04-30", "2017-05-31", "2017-06-30"),
stock = c("a", "a", "a","a", "a", "a"),
Price = c(10, 11, 17, 12, 13, 14))
I using the Return.calculate package as such :
Return.calculate(sample_data$Price, method = "compound")
But getting the following error :
no applicable method for 'xtsAttributes<-' applied to an object of class "zoo"
Upvotes: 0
Views: 456
Reputation: 2877
You need to pass data as xts
object. Be careful while converting to xts
to include only numeric variables - reason here - That's why it's possible to convert only sample_data$Price
library(xts)
library(PerformanceAnalytics)
sample_data$Date <- as.Date(sample_data$Date)
sample_data_xts <- xts(sample_data$Price, order.by = sample_data$Date)
Return.calculate(sample_data_xts, method = "compound")
# [,1]
# 2017-01-31 NA
# 2017-02-28 0.09531018
# 2017-03-31 0.43531807
# 2017-04-30 -0.34830669
# 2017-05-31 0.08004271
# 2017-06-30 0.07410797
Upvotes: 2