statcompute / mob Goto Github PK

batch_bin(df, 1) -> qtl Error in parallel::mclapply(xnames, mc.cores = parallel::detectCores(), : 'mc.cores' > 1 is not supported on Windows
There are many other parallelization capabilities running on all platforms.

Hi WenSui Liu! How can I install your package from R? Thanks

Installation Option:

1. download file mob_0.1.0.tar.gz
2. Open Rstudio -> Packages -> Install - Install from: Package Archive File.
   Specify / select the path to the saved file mob_0.1.0.tar.gz
3. Click "Install"
   Done. The library is installed.
   Good luck

Downloaded github.com/statcompute/mob/data/accepts.rds
Tried to load it into R, got this:

> load('accepts.rds')
Error in load("accepts.rds") : 
  bad restore file magic number (file may be corrupted) -- no data loaded
In addition: Warning messages:
1: In readChar(con, 5L, useBytes = TRUE) :
  truncating string with embedded nuls
2: file ‘accepts.rds’ has magic number 'X'
  Use of save versions prior to 2 is deprecated 

Is this file corrupt, or have I done something stupid??

R version 4.0.3 (2020-10-10) -- "Bunny-Wunnies Freak Out"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

Hi,

There was no facility for comments at the 10th March 2019 blog post, so I resorted to leaving the comment here.

The Tibshirani and Knight paper cited in the post as Tibshirani and Knight, 1997, is actually Tibshirani and Knight, 1999. See https://www.tandfonline.com/doi/abs/10.1080/10618600.1999.10474842

That's it!

Toodles,

-- Jan Galkowski, https://667-per-cm.net

`> require(mob)
Загрузка требуемого пакета: mob

df <- readRDS("df.rds")
Ошибка в gzfile(file, "rb") :не могу открыть соединение
Вдобавок: Предупреждение:
В gzfile(file, "rb") :
не могу открыть сжатый файл 'df.rds', возможная причина -- 'No such file or directory'`
Add the date folder to the compressed file

Thank you for the shout-out to the Rborist package. Please let us know whether there are any adjustments we can make to the package in order to support your arb_bin() work.

Thank you for you nice work ! But i'm not familiar with R and those binning algorithms .
So, can you give some detail paper or other reference ?