Hello,
I'm glad that it worked.
Two things:
1. Please, click reply all to keep this threaded.
2. The question should have belonged to r-h...@r-project.org, not to
r-devel@r-project.org.
Rui Barradas
Às 07:10 de 17/03/20, Moshe Olshansky escreveu:
It works, thank you!
On Tuesday, 17 March 2020, 5:47:05 pm AEDT, Rui Barradas
<ruipbarra...@sapo.pt> wrote:
Hello,
The problem seems to be that A is a matrix. The following solves the error.
# create A and b as in your code then run
A <- as.data.frame(A)
df1 <- cbind(A, b)
reg <- lm(b ~ ., df1)
# etc
Hope this helps,
Rui Barradas
Às 04:36 de 17/03/20, Moshe Olshansky via R-devel escreveu:
> Hello,
> Below is my code:
>> A <- matrix(rnorm(10*3),ncol=3)
>> b <- runif(10)
>> reg <- lm(b ~ A)
>> A1 <- matrix(rnorm(5*3),ncol=3)
>> A1 <- as.data.frame(A1)
>> b1 <- predict(reg,A1)
> Warning message:
> 'newdata' had 5 rows but variables found have 10 rows
>
> And instead of being an array of length 5, b1 is of length 10 and
is identical to reg$fitted.values
> I think that it should not be like this.
> Let me note that for lm I do not care about this as much since I can
use reg$coefficients, but unfortunately this behaviour is "inherited" by
other methods. When I am trying to fit a regression tree, predicting
from the object without using 'predict' method is less trivial.
> Thank you,Moshe.
> P.S. just in case:> sessionInfo()
> R version 3.6.2 (2019-12-12)
> Platform: x86_64-pc-linux-gnu (64-bit)
> Running under: Linux Mint 19.1
>
> Matrix products: default
> BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
> LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1
>
> locale:
> [1] C
>
> attached base packages:
> [1] stats graphics grDevices utils datasets methods base
>
> loaded via a namespace (and not attached):
> [1] compiler_3.6.2 tools_3.6.2
>
>
>
>
>
> [[alternative HTML version deleted]]
>
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