Comments (3)
from fable.
Can confirm that issue is due to Microsoft R defaulting to a static CRAN snapshot that pre-dates the ggplot2 3.0.0 dependency (see https://mran.microsoft.com/faq). The latest version of ggplot2 in the snapshot is 2.2.1.
This is a oft encountered issue with the Microsoft R distribution. Microsoft R's philosophy is that package predictability and compatibility are more important than being on the cutting edge. But this also means installation of new CRAN package with bleeding edge dependencies tend to fail.
To fix:
> options(repos = c(CRAN = "https://mran.revolutionanalytics.com/snapshot/2018-07-07"))
> install.packages("ggplot2")
> devtools::install_github("tidyverts/fable")
from fable.
I am unable to install this package on windows 10.Please me to fix this.
Error:
Downloading GitHub repo tidyverts/fable@master
tar (child): gzip: Cannot exec: No such file or directory
tar (child): Error is not recoverable: exiting now
/bin/x64/tar: Child returned status 2
/bin/x64/tar: Error is not recoverable: exiting now
External tar failed with --force-local
, trying without
tar (child): gzip: Cannot exec: No such file or directory
tar (child): Error is not recoverable: exiting now
/bin/x64/tar: Child returned status 2
/bin/x64/tar: Error is not recoverable: exiting now
External tar failed with --force-local
, trying without
Error: Does not appear to be an R package (no DESCRIPTION)
In addition: Warning messages:
1: In utils::untar(tarfile, ...) :
βtar.exe -zxf "C:\Users\ASRIVA1\AppData\Local\Temp\RtmpkhaMo1\file314c2b542f08.tar.gz" -C "C:/Users/ASRIVA1/AppData/Local/Temp/RtmpkhaMo1/remotes314c425f5f93"β returned error code 2
2: In system(cmd, intern = TRUE) :
running command 'tar.exe -ztf "C:\Users\ASRIVA~1\AppData\Local\Temp\RtmpkhaMo1\file314c2b542f08.tar.gz"' had status 2
from fable.
Related Issues (20)
- Box Cox Transformation Reproducibility HOT 3
- Reconciled Arima with exogenous regressors produces unexplainable results HOT 1
- ETS() and ARIMA() don't like columns named "int"
- ARIMA will not produce a weekly forecast when week_start != 1 HOT 5
- A model selected by ARIMA() from a pool of models cannot be fitted individually
- breusch_godfrey()
- autoplot show_gap on fbl_ts errors HOT 1
- Think about adding roxygen topics for "special" functions HOT 2
- forecast and TSLM how is the mean (point forecast) calculated? HOT 2
- ETS trend from components() is different to that calculated using the trend formula - if alpha and beta parameters are both set to 0.5 HOT 3
- Multiple Scenarios for Same Model HOT 1
- NNETAR doc improvements HOT 1
- NNETAR normalization when linout=FALSE. HOT 2
- ETS backtransformation after refit
- NAs causing failures in training combination models HOT 1
- Error `forecast` ARIMA with exogenous variables for short time series
- Passing formula variables to combination_model fails HOT 1
- Passing formula variables to combination_model fails HOT 1
- "Error in `not_tsibble()`: ! x is not a tsibble" When trying to HOT 2
- Error - fable::ARIMA for linear time series
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. πππ
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google β€οΈ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from fable.