R correlation score calculation

Question

My dataset contains information such as feedbackDate and Subcategory(issue) and location (6 months data). The temporal calculation was by cross tabulating the subcategory of issues with their feebackDate s and then calculating Pearson correlation score for every pair of cross tabulated issues. See the code below

#weekly correlation
require(ISOweek)
datacfs_date$FeedbackWeek <- ISOweek(datacfs_date$FeedbackDate)
raw_timecor_matrix <- table(datacfs_date$SubCategory, datacfs_date$FeedbackWeek)
raw_timecor_matrix <- t(raw_timecor_matrix)
timecor_matrix <- cor(raw_timecor_matrix)

#Invert correlation to get distance matrix
inverse_tcc <- 1-timecor_matrix

Now the question is how do I calculate this on biweekly and monthly basis instead of weekly correlation of six months data.

Answer 1

Just make your labels, eg

datacfs_date$FeedbackMonth<-paste0(year(datacfs_date$FeedbackDate),"-M",month(datacfs_date$FeedbackDate))

datacfs_date$FeedbackBiWeek<-paste0(year(datacfs_date$FeedbackDate),"-W",(ceiling(week(datacfs_date$FeedbackDate)/2)*2)-1,":",(ceiling(week(datacfs_date$FeedbackDate)/2)*2))

and correlate on those