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7
votes
Accepted
Rolling regressions in R
For each group in your data table, your code computes the coefficient b1 from a linear regression y = b0 + b1*x + epsilon, and you want to run this regression and obtain b1 for observations 1-12, 2-13 …
5
votes
Accepted
Rolling mean lag function
It seems that your allFipsRM function takes as input a data variable name and rolling mean length and outputs information about the rolling mean with the indicated length, computed for each fips value …
1
vote
Solving for a seed value in R
It seems that you are looping through seeds to find the one that causes a randomized procedure's output to match the output from a previous run.
If you had set the random seed immediately before runn …