[R] Not the same length

peter dalgaard
Wed, 18 Sep 2019 09:01:27 -0000

Um, I think not... The mean of the last 200 observation won't line up with
the x and z.

Possibly, if what you want is the last 200 obs to have a different variance,

y_obs <- y_model + c(rnorm(0.9 * n, 0, 0.1), rnorm(0.1 * n, 0, 0.5))

or

y_obs <- rnorm(n, y_model, rep(c(0.1, 0.5), c(.9 * n, .1 * n)))

-pd


> On 17 Sep 2019, at 22:27 , David Winsemius <dwinsemius at
comcast.net> wrote:
>
>
> On 9/17/19 12:48 PM, varin sacha via R-help wrote:
>> Dear R-helpers,
>>
>> Doing dput(x) and dput(y_obs), the 2 vectors are not the same length
(1800 for y_obs and 2000 for x)
>> How can I solve the problem ?
>>
>> Here is the reproducible R code
>>
>>   #  #  #  #  #  #  #  #  #  #
>> library(mgcv)
>>  library(earth)
>>
>> n<-2000
>> x<-runif(n, 0, 5)
>>  y_model<- 0.1*x^3 - 0.5 * x^2 - x + 10
>> # y_obs<-rnorm(n*0.9, y_model, 0.1)+rnorm(n*0.1, y_model, 0.5) #
maybe not exactly your goal?
>
>
> You didn't lay out any goals for analysis, so let me guess what was
intended:
>
>
> I suspect that you were hoping to model a mixture composed of 90% from one
distribution and 10% from another. If I'm right about that guess then you
would instead wat to join the samples from each distribution:
>
> y_obs<-c( rnorm(n*0.9, y_model, 0.1),  rnorm(n*0.1, y_model, 0.5) )
>
> --
>
> David
>
>
>> gam_model<- gam(y_obs~s(x))
>> mars_model<- earth(y_obs~x)
>> MSE_GAM<-mean((gam_model$fitted.values - y_model)^2)
>> MSE_MARS<-mean((mars_model$fitted.values - y_model)^2)
>> MSE_GAM
>> MSE_MARS
>>   #  #  #  #  #  #  #  #  #  #  #  #  #  #  #  #
>>
>> ______________________________________________
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http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Office: A 4.23
Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com