2018.3.15——R 3.4.4更新！

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1. CHANGES IN R 3.4.4
   
2. 
   
3. NEW FEATURES
   
4. 
   
5. Sys.timezone() tries more heuristics on Unix-alikes and so is more likely to succeed (especially on Linux). For the slowest method, a warning is given recommending that TZ is set to avoid the search.
   
6. 
   
7. The version of LAPACK included in the sources has been updated to 3.8.0 (for the routines used by R, a very minor bug-fix change).
   
8. 
   
9. parallel::detectCores(logical = FALSE) is ignored on Linux systems, since the information is not available with virtualized OSes.
   
10. 
    
11. INSTALLATION on a UNIX-ALIKE
    
12. 
    
13. configure will use pkg-config to find the flags to link to jpeg if available (as it should be for the recently-released jpeg-9c and libjpeg-turbo). (This amends the code added in R 3.3.0 as the module name in jpeg-9c is not what that tested for.)
    
14. 
    
15. DEPRECATED AND DEFUNCT
    
16. 
    
17. Sys.timezone(location = FALSE) (which was a stop-gap measure for Windows long ago) is deprecated. It no longer returns the value of environment variable TZ (usually a location).
    
18. 
    
19. Legacy support of make macros such as CXX1X is formally deprecated: use the CXX11 forms instead.
    
20. 
    
21. BUG FIXES
    
22. 
    
23. power.prop.test() now warns when it cannot solve the problem, typically because of impossible constraints. (PR#17345)
    
24. 
    
25. removeSource() no longer erroneously removes NULL in certain cases, thanks to Dénes Tóth.
    
26. 
    
27. nls(`NO [mol/l]` ~ f(t)) and nls(y ~ a) now work. (Partly from PR#17367)
    
28. 
    
29. R CMD build checks for GNU cp rather than assuming Linux has it. (PR#17370 says ‘Alpine Linux’ does not.)
    
30. 
    
31. Non-UTF-8 multibyte character handling fixed more permanently (PR#16732).
    
32. 
    
33. sum(<large ints>, <stuff>) is more consistent. (PR#17372)
    
34. 
    
35. rf() and rbeta() now also work correctly when ncp is not scalar, notably when (partly) NA. (PR#17375)
    
36. 
    
37. R CMD INSTALL now correctly sets C++ compiler flags when all source files are in sub-directories of ‘src’.

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简单统计了下R中安装的包，600+了已经……

1. pks <- library()
   
2. pks <- pks$results %>% as_tibble
   
3. pks %>% glimpse
   
4. pkm <- pks$Package %>% str_split("", simplify = T)
   
5. pkm[, 1] %>% str_to_lower %>% table %>% sort(decreasing = T) %>% barchart(horizontal = F)

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R包要是有机的整合下就好了，感觉R包在20个以内最好了。

屋檐滴语 发表于 2018-3-16 18:54
R包要是有机的整合下就好了，感觉R包在20个以内最好了。

20个以内，每个包可就太大了。R现在应用领域范围那么广，新方法新模型几乎每个月都有提出，压缩不太现实，分类倒是可行。