I have the following lookup table:
lkp <- data.frame(
x=c(0,0.2,0.65,0.658,1.3,1.76,2.7),
y=c(1,1,1,0.942,0.942, 0.92, 0.89)
)
I would like to get the value of Y of a given X value.
If the X value exists in the table then the exact Y of the table should be returned. If the X value does not exist, then the Y value should be returned as linear interpolation of the 2 nearest neighbors (only the 2 nearest neighbors). I would not like to fit a model to the overall data.
for the above table
for X=0.2 Y=1 (exact lookup)
for X=2 Y=0.91 (linear interpolation between the last 2 rows of the data frame)
Is there any ready function to do this?
Yes, it's called approx
.
> with(lkp, approx(x, y, xout=c(0.2, 2)))
$x
[1] 0.2 2.0
$y
[1] 1.0000000 0.9123404
See ?approx
for more information.
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