rs_pairs | R Documentation |
Turn repeat-sales data into sales pairs that are suitable for making repeat-sales matrices.
rs_pairs(period, product, match_first = TRUE)
period |
A vector that gives the time period for each sale. Usually a
date vector, or a factor with the levels in chronological order, but other
values are possible if they can be sorted in chronological order (i.e., with
|
product |
A vector that gives the product identifier for each sale. Usually a factor or vector of integer codes for each product. |
match_first |
Should products in the first period match with themselves (the default)? |
A numeric vector of indices giving the position of the previous sale
for each product
, with the convention that the previous sale for the
first sale is itself if match_first = TRUE
, NA
otherwise. Ties are
resolved according to the order they appear in period
.
order()
is the workhorse of rs_pairs()
, so performance can be
sensitive to the types of period
and product
, and can be slow for large
character vectors.
rs_matrix()
for using sales pairs to make a repeat-sales index.
rtCreateTrans()
in the hpiR package for a feature-rich but
slower and less flexible function to make sales pairs.
# Make sales pairs
x <- data.frame(
id = c(1, 1, 1, 3, 2, 2, 3, 3),
date = c(1, 2, 3, 2, 1, 3, 4, 1),
price = c(1, 3, 2, 3, 1, 1, 1, 2)
)
pairs <- rs_pairs(x$date, x$id)
x[c("date_prev", "price_prev")] <- x[c("date", "price")][pairs, ]
x
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