Obtaining trading days from rollapply in R...

Rollapply in R time frame indexing...

How to flag the values of a column based on values of another column in R by using rollapply?...

rollapply for last reported values and not last reported time periods...

adjust "width" argument in rollapply() function in r for discontinuous dates...

Making rollApply() skip n steps - R...

Using Rollapply to return both the Coefficient and RSquare...

correlation coefficients between two time series calculated over windows moved forward in time by n ...

Roll regression for 4 years of daily data which moves one month ahead for each new regression and fo...

Conditionally Rollmean based on another column value...

Apply rolling function which generates a list of data.frames (or single rbinded data.frame)...

zoo::rollapply window with over column values rather than rows...

rollapply for two-dimensional arrays (R)...

R xts: apply over a rolling window...

Getting rolling average of multiple column by multiple condition, with dplyr and apply family...

How to match third (or whatever) from the bottom in a rolling fashion in R?...

Problems with Rollapplyr function due to NA values (that should not be removed) in R...

variable lengths differ error when rollapply lm...

Beta estimation over panel data by group...

Rolling a function on two columns in data.table...

R - Rolling sum of two columns in data.table...

Assigning the numbers and summarising the number of counts in a sliding window in R...

filter out rolling mean results with limited data...

Using rollapply to compute a week on week percentage change...

how to make a rolling sum (or rolling average) with multiple variables...

R - How to make a mean/average of n previous values, excluding current observation (rolling average)...

Using Rollapply in a data table with a variable width in R...

Sum column values over a window and report the values of the previous window...

Error when combining rollapply() and weighted.mean() in an lapply() data.table setting...

Combining rollapply() and weighted.mean() in a data.table apply() for multiple columns...