Using the same example data from the question you've linked to, you can do some basic subsetting.
Here's the sample data:
library(xts)
data(sample_matrix)
x <- as.xts(sample_matrix)
Here's the subsetting:
x[format(index(x), "%d") == "10"]
# Open High Low Close
# 2007-01-10 49.91228 50.13053 49.91228 49.97246
# 2007-02-10 50.68923 50.72696 50.60707 50.69562
# 2007-03-10 49.79370 49.88984 49.70385 49.88698
# 2007-04-10 49.55704 49.78776 49.55704 49.76984
# 2007-05-10 48.83479 48.84549 48.38001 48.38001
# 2007-06-10 47.74899 47.74899 47.28685 47.28685
Is this what you were looking for?
Using %in%
would give you some more flexibility. For instance, if you wanted the tenth, eleventh, and twelfth days of each month, you could use x[format(index(x), "%d") %in% c("10", "11", "12")]
instead.
Update
If, as you have in your update, you want to extract the tenth data point, just use an anonymous function as follows:
do.call(rbind, lapply(split(x, "months"), function(x) x[10]))
# Open High Low Close
# 2007-01-11 49.88529 50.23910 49.88529 50.23910
# 2007-02-10 50.68923 50.72696 50.60707 50.69562
# 2007-03-10 49.79370 49.88984 49.70385 49.88698
# 2007-04-10 49.55704 49.78776 49.55704 49.76984
# 2007-05-10 48.83479 48.84549 48.38001 48.38001
# 2007-06-10 47.74899 47.74899 47.28685 47.28685
Note that the first row is the eleventh day of the month, because the data actually starts on January 2, 2007.
x[1, ]
# Open High Low Close
# 2007-01-02 50.03978 50.11778 49.95041 50.11778
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