denormalize | R Documentation |
Create a (redundant) horizon-level attribute from a site-level attribute. Specify a SoilProfileCollection and a site-level attribute from that SPC (by name) to receive a vector of length equal to the number of horizons containing the site-level values. This vector is directly usable with the SoilProfileCollection horizon setter.
denormalize
is the inverse operation for the formula interface that "normalizes" a horizon level variable to site level:
site(object) <- ~ horizonvar
denormalize(object, attr)
object |
A SoilProfileCollection |
attr |
Site-level attribute name (character string) to denormalize to horizon. |
"Denormalization" is the process of trying to improve the read performance of a database, at the expense of losing some write performance, by adding redundant copies of data or by grouping data. Sometimes it is beneficial to have site-level attributes denormalized for grouping of horizon-level data in analyses. denormalize
achieves this result for SoilProfileCollections.
A vector of values of equal length to the number of rows in the horizon table of the input SPC.
Andrew G. Brown, Dylan Beaudette
data(sp1)
# create a SoilProfileCollection from horizon data
depths(sp1) <- id ~ top + bottom
# create random site-level attribute `sitevar` with a binary (0/1) outcome
sp1$sitevar <- round(runif(length(sp1)))
# use denormalize() to create a mirror of sitevar in the horizon table
# name the attribute something different (e.g. `hz.sitevar`) to
# prevent collision with the site attribute
# the attributes can have the same name but you will then need
# site() or horizons() to access explicitly
sp1$hz.sitevar <- denormalize(sp1, 'sitevar')
# compare number of profiles to number of sitevar assignments
length(sp1)
table(sp1$sitevar)
# compare number of horizons to number of horizon-level copies of sitevar `hz.'sitevar`
nrow(sp1)
table(sp1$hz.sitevar)
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