View source: R/compareOverlap.R
compareOverlap | R Documentation |
Compute
dy <- (y - yRef)
for all
cases where x == xRef
,
where x
and y
are
columns of newDat
and
xRef
and yRef
are
columns of refDat
.
Also compute
dyRef <- dy / yRef
.
Return silently a
data.frame
with columns
x
, y
, yRef
,
dy
, and dyRef
.
Also if
min(yRef)*max(yRef)>0
plot(dyRef)
else
plot(dy)
.
compareOverlap(y=2, yRef=y, x=1,
xRef=x, newDat, refDat,
ignoreCase=TRUE, ...)
y , yRef |
columns of |
x , xRef |
columns of As with |
newDat , refDat |
|
ignoreCase |
logical: If |
... |
optional arguments to pass
to |
This function is particularly useful
for updating datasets that are obtained
from sources like the
Bureau of Justice Statistics,
which publish many series with
each update including the most recent
11 years. This function can be used
to evaluate the extent of equivalence
between, e.g., historical data in
refDat
with the latest data
in newDat
.
Invisibly return a
data.frame
with columns
x
, paste0(y, 'New')
,
past0(yRef, 'Ref')
,
dy
, and dyRef
of the data compared.
Spencer Graves
nDat <- data.frame(yr=2000:2015,
Y=0:15)
rDat <- data.frame(Yr=2018:2011,
y=c(17:13, 13:11))
nrDat <- compareOverlap(
newDat=nDat, refDat=rDat)
# Correct answer
NRdat <- data.frame(yr=2011:2015,
YNew=11:15, yRef=c(11:13, 13:14),
dy=c(0,0,0, 1, 1),
dyRef=c(0,0,0, 1,1) /
c(11:13, 13:14))
all.equal(nrDat, NRdat)
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