[R] Error with constrained curve fitting through specific points
petr@p|k@| @end|ng |rom prechez@@cz
Wed Jan 22 16:32:44 CET 2020
You probably has to use less points in con.
With just three points
> con1 <- con[c(1, 5, 10),]
> fit_result <- cobs(dat$x, dat$y, pointwise = con1)
Performing general knot selection ...
Deleting unnecessary knots ...
function seems to work without error.
> -----Original Message-----
> From: R-help <r-help-bounces using r-project.org> On Behalf Of Tung Nguyen
> Sent: Wednesday, January 22, 2020 4:01 PM
> To: r-help using r-project.org
> Subject: [R] Error with constrained curve fitting through specific points
> Hello R-Help,
> I'm trying to find the best fitting curve through a given set of points.
> The fitted curve must also pass through these points. I found an answer on
> Cross Validated which suggested to use the `cobs: Constrained B-Splines
> (Sparse Matrix Based)` package. However, I got an error while testing it
> with my sample data:
> Error in x %*% coefficients: NA/NaN/Inf in foreign function call (arg 2)
> *My question*: what caused this error and how can I fix it? Any suggestion
> is greatly appreciated. Thanks!
> dat <- data.frame(
> x = c(1e-06,0.25,0.5,0.75,1,2,3,4,5,6),
> y = c(1e-07,1.925,2.9625,3.469375,
> #> x y#> 1 1.0e-06 0.0000001#> 2 2.5e-01
> 1.9250000#> 3 5.0e-01 2.9625000#> 4 7.5e-01 3.4693750#> 5 1.0e+00
> 3.8750000#> 6 2.0e+00 4.5315000#> 7 3.0e+00 4.8900000#> 8 4.0e+00
> 5.0937500#> 9 5.0e+00 5.2160000#> 10 6.0e+00 5.4600000
> # visual inspection
> plot(dat); lines(dat)
> # define constrained points
> con <- matrix(
> c(1e-06,0.25,0.5,0.75,1,2,3, 4,5,6),
> 3.875,4.5315,4.89,5.09375,5.216, 5.46)),
> ncol = 3, nrow = 10)
> # curve fitting
> fit_result <- cobs(dat$x, dat$y, pointwise = con)*#> qbsks2():
> #> Performing general knot selection ...
> #> Error in x %*% coefficients: NA/NaN/Inf in foreign function call (arg
> Best regards,
> -- Tung
> [[alternative HTML version deleted]]
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