I am very new to R so apologies if I get any of the terminology wrong when I explain this problem.
I have a set of daily returns data in a csv file that I have manag
Thanks to the power of the base R language, you can do this in one line:
library(xts)
data(sample_matrix)
x <- as.xts(sample_matrix)
do.call(rbind, lapply(split(x, "months"), first))
To explain what each step is doing:
# Split the xts object into a list with an element for each month.
x1 <- split(x, "months")
# Loop over the list (x1) and call the first() function on each element.
# This returns a new list where each element only contains the first observation
# from each respective element in x1.
x2 <- lapply(x1, first)
# Call rbind() with all the elements of x2 as arguments to rbind()
# Same as rbind(x2[[1]], x2[[2]], ..., x2[[N]])
x3 <- do.call(rbind, x2)