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elbamos / largeVis

An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R
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largeVis for R version 4.1.2 #63

Closed blosloos closed 2 years ago

blosloos commented 2 years ago

Dear elbamos.

Your largeVis algorithm and package has been of great help to us so far to reveal patterns in mass spectrometric data on environmental samples. Unfortunately, I am now forced to update from R version 3.3.3 to the latest version 4.1.2, and have thus tried to install_github("elbamos/largeVis"), using the devtools library, Rtools and its dependencies. On a 64bit Windows machine, this eventually leads to the following error (apart from a number of other warnings beforehand, e.g., on the RcppArmadillo package):

Error: package or namespace load failed for 'largeVis':
 .onAttach failed in attachNamespace() for 'largeVis', details:
  call: checkBits()
  error: function 'enterRNGScope' not provided by package 'Rcpp'

Do you have any idea how to solve this? Do you plan to update largeVis to later versions of R? Thanks & regards!

elbamos commented 2 years ago

Hi, try branch feature/backoncran. I really should get around to getting this actually back on CRAN…

On Jan 12, 2022, at 3:23 AM, blosloos @.***> wrote:

 Dear elbamos.

Your largeVis algorithm and package has been of great help to us so far to reveal patterns in mass spectrometric data on environmental samples. Unfortunately, I am now forced to update from R version 3.3.3 to the latest version 4.1.2, and have thus tried to install_github("elbamos/largeVis"), using the devtools library, Rtools and its dependencies. On a 64bit Windows machine, this eventually leads to the following error (apart from a number of other warnings beforehand, e.g., on the RcppArmadillo package):

Error: package or namespace load failed for 'largeVis': .onAttach failed in attachNamespace() for 'largeVis', details: call: checkBits() error: function 'enterRNGScope' not provided by package 'Rcpp' Do you have any idea how to solve this? Do you plan to update largeVis to later versions of R?

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blosloos commented 2 years ago

Great, thanks - that worked perfectly. Yes, maintaining CRAN packages can be time consuming ... but at least having a running version of your package on git is already awesome. largeVis is really helpful!