Hi there,
I need to create a dummy variable where I set my values "Monthly_Total_Returns" equal to 1 in March 2020. 0 otherwise. The data is all aligned and organized. My variables' names (columns) are "Monthly_Total_Returns, where I find my values", "date, where there are my dates (month + year. e.g. "2020-03") of the years. Can you help me with that? This is what I have done so far.
Data$Monthly_Total_Returns
Monthly_Total_Returns_bad_march %>%
Monthly_Total_Returns_bad_march <- 1
My boss told me that I don't need to use the FILTER function and it should be easier and more straightforward. Please let me know.
Can you please share a small part of the data set in a copy-paste friendly format?
In case you don't know how to do it, there are many options, which include:
If you have stored the data set in some R object, dput function is very handy.
In case the data set is in a spreadsheet, check out the datapasta package. Take a look at this link .
startz
July 17, 2021, 2:07pm
3
While you will probably get a more complete answer if you follow @andresrcs 's suggstion, perhaps something like
Monthly_Total_Returns_bad_march <- ifelse(format(Date, format = "%Y-%m") == "2020-03",1,0)
The variables that I need to use are: "Data_Date_Security_Monthly" and "Monthly_Total_Returns"
system
August 7, 2021, 2:17pm
5
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