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aaargghh
2018 Feb 27
2
scale.default gives an incorrect error message when is.numeric() fails on a sparse row matrix (dgeMatrix)
I am attempting to use the lars package with a sparse input feature matrix,
but the following fails:
library(Matrix)
library(lars)
data(diabetes)
attach(diabetes)
x = as(as.matrix(as.data.frame(x)), 'dgCMatrix')
lars(x, y, intercept = FALSE)
Error in scale.default(x, FALSE, normx) :
>
> length of 'scale' must equal the number of columns of 'x'
>
>
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2018 Mar 01
0
scale.default gives an incorrect error message when is.numeric() fails on a dgeMatrix
...(unimportant mistake: a dgeMatrix is *not* sparse)
MM: modified to commented R code, slightly changed from your post:
## I am attempting to use the lars package with a sparse input feature matrix,
## but the following fails:
library(Matrix)
library(lars)
data(diabetes) # from 'lars'
##UAagghh! not like this -- both attach() *and* as.data.frame() are horrific!
##UA attach(diabetes)
##UA x = as(as.matrix(as.data.frame(x)), 'dgCMatrix')
x <- as(unclass(diabetes$x), "dgCMatrix")
lars(x, y, intercept = FALSE)
## Error in scale.default(x, FALSE, normx) :
## length...