How do I access coredata from each object in a matrix of xts zoo objects
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I used the getFX function from the Quantmod package in R to generate a vector of rates from Oanda, each in xts zoo format.
currency_pairs <- c("GBP/USD", "USD/SGD")
rates <- getFX(currency_pairs, from="2019/01/01", to="2019/01/01"
This returns a vector of xts zoo objects in the form:
(GBPUSD, USDSGD,...)
However I would like to have just the rates, since I only require the rates for one date and therefore know the timestamp.
I have tried looping over the vector like so:
for (i in 1:length(rates){
rates[i] <- coredata(rates[i])
}
but this just returns the currency pair name.
r currency zoo
add a comment |
I used the getFX function from the Quantmod package in R to generate a vector of rates from Oanda, each in xts zoo format.
currency_pairs <- c("GBP/USD", "USD/SGD")
rates <- getFX(currency_pairs, from="2019/01/01", to="2019/01/01"
This returns a vector of xts zoo objects in the form:
(GBPUSD, USDSGD,...)
However I would like to have just the rates, since I only require the rates for one date and therefore know the timestamp.
I have tried looping over the vector like so:
for (i in 1:length(rates){
rates[i] <- coredata(rates[i])
}
but this just returns the currency pair name.
r currency zoo
add a comment |
I used the getFX function from the Quantmod package in R to generate a vector of rates from Oanda, each in xts zoo format.
currency_pairs <- c("GBP/USD", "USD/SGD")
rates <- getFX(currency_pairs, from="2019/01/01", to="2019/01/01"
This returns a vector of xts zoo objects in the form:
(GBPUSD, USDSGD,...)
However I would like to have just the rates, since I only require the rates for one date and therefore know the timestamp.
I have tried looping over the vector like so:
for (i in 1:length(rates){
rates[i] <- coredata(rates[i])
}
but this just returns the currency pair name.
r currency zoo
I used the getFX function from the Quantmod package in R to generate a vector of rates from Oanda, each in xts zoo format.
currency_pairs <- c("GBP/USD", "USD/SGD")
rates <- getFX(currency_pairs, from="2019/01/01", to="2019/01/01"
This returns a vector of xts zoo objects in the form:
(GBPUSD, USDSGD,...)
However I would like to have just the rates, since I only require the rates for one date and therefore know the timestamp.
I have tried looping over the vector like so:
for (i in 1:length(rates){
rates[i] <- coredata(rates[i])
}
but this just returns the currency pair name.
r currency zoo
r currency zoo
edited Jan 3 at 16:00
phiver
13.9k92936
13.9k92936
asked Jan 3 at 15:01
HanadulsetHanadulset
143
143
add a comment |
add a comment |
1 Answer
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votes
What you could do in this case, if you only retrieve data for one date, is use to sapply
like this:
library(quantmod)
currency_pairs <- c("GBP/USD", "USD/SGD")
# for 1 date this will return a named vector otherwise use lapply
rates <- sapply(currency_pairs, getFX, from="2019/01/01", to="2019/01/01", auto.assign = FALSE)
rates
GBP/USD USD/SGD
1.275455 1.362920
Normally I would suggest using lapply to retrieve all the currencies in a big list and then access the list with lapply / mapply / Map / purrr::map etc.
Smashed it. Nice one.
– Hanadulset
Jan 3 at 15:57
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
What you could do in this case, if you only retrieve data for one date, is use to sapply
like this:
library(quantmod)
currency_pairs <- c("GBP/USD", "USD/SGD")
# for 1 date this will return a named vector otherwise use lapply
rates <- sapply(currency_pairs, getFX, from="2019/01/01", to="2019/01/01", auto.assign = FALSE)
rates
GBP/USD USD/SGD
1.275455 1.362920
Normally I would suggest using lapply to retrieve all the currencies in a big list and then access the list with lapply / mapply / Map / purrr::map etc.
Smashed it. Nice one.
– Hanadulset
Jan 3 at 15:57
add a comment |
What you could do in this case, if you only retrieve data for one date, is use to sapply
like this:
library(quantmod)
currency_pairs <- c("GBP/USD", "USD/SGD")
# for 1 date this will return a named vector otherwise use lapply
rates <- sapply(currency_pairs, getFX, from="2019/01/01", to="2019/01/01", auto.assign = FALSE)
rates
GBP/USD USD/SGD
1.275455 1.362920
Normally I would suggest using lapply to retrieve all the currencies in a big list and then access the list with lapply / mapply / Map / purrr::map etc.
Smashed it. Nice one.
– Hanadulset
Jan 3 at 15:57
add a comment |
What you could do in this case, if you only retrieve data for one date, is use to sapply
like this:
library(quantmod)
currency_pairs <- c("GBP/USD", "USD/SGD")
# for 1 date this will return a named vector otherwise use lapply
rates <- sapply(currency_pairs, getFX, from="2019/01/01", to="2019/01/01", auto.assign = FALSE)
rates
GBP/USD USD/SGD
1.275455 1.362920
Normally I would suggest using lapply to retrieve all the currencies in a big list and then access the list with lapply / mapply / Map / purrr::map etc.
What you could do in this case, if you only retrieve data for one date, is use to sapply
like this:
library(quantmod)
currency_pairs <- c("GBP/USD", "USD/SGD")
# for 1 date this will return a named vector otherwise use lapply
rates <- sapply(currency_pairs, getFX, from="2019/01/01", to="2019/01/01", auto.assign = FALSE)
rates
GBP/USD USD/SGD
1.275455 1.362920
Normally I would suggest using lapply to retrieve all the currencies in a big list and then access the list with lapply / mapply / Map / purrr::map etc.
answered Jan 3 at 15:21
phiverphiver
13.9k92936
13.9k92936
Smashed it. Nice one.
– Hanadulset
Jan 3 at 15:57
add a comment |
Smashed it. Nice one.
– Hanadulset
Jan 3 at 15:57
Smashed it. Nice one.
– Hanadulset
Jan 3 at 15:57
Smashed it. Nice one.
– Hanadulset
Jan 3 at 15:57
add a comment |
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