在Ubuntu 10.04上，我今天早上更新了一个R（ubuntu）软件包。然后我尝试的第一个R脚本告诉我动物园不是为R 3.0.0构建的。所以我做sudo R然后update.packages(ask=F)假设它会使我在过去几年中安装的所有CRAN软件包同步。
但事实并非如此，动物园，Rcpp等都不起作用。事实上，我安装的软件包的一半以上仍然是为2.x.x构建的;列表低于（x=installed.packages();x[sort.list(x[,'Built']),c('Built','Version','Depends','LinkingTo','NeedsCompilation')]）
这是否很难，并非所有软件包都准备好用于3.0.0，我应该（在Ubuntu中）恢复到以前的版本？或者我是否需要为3.x.x使用不同的CRAN站点？是否会删除所有2.x软件包然后重新安装它们修复它？或者......？
Built Version Depends LinkingTo NeedsCompilation
Defaults "2.13.1" "1.1-1" NA NA NA
itertools "2.13.1" "0.1-1" "R (>= 2.5.0), iterators(>= 1.0.0)" NA NA
openNLP "2.13.1" "0.0-8" NA NA NA
reshape "2.13.1" "0.8.4" "R (>= 2.6.1), plyr" NA NA
RUnit "2.13.1" "0.4.26" "R (>= 2.5.0), utils (>= 2.5.0), methods (>= 2.5.0)" NA NA
multicore "2.14.1" "0.1-7" "R (>= 2.0.0)" NA NA
RMySQL "2.15.0" "0.9-3" "R (>= 2.8.0), methods, DBI (>= 0.2-2), utils" NA NA
foreach "2.15.1" "1.4.0" "R (>= 2.5.0)" NA NA
iterators "2.15.1" "1.0.6" "R (>= 2.5.0), utils" NA NA
labeling "2.15.1" "0.1" NA NA NA
memoise "2.15.1" "0.1" NA NA NA
RColorBrewer "2.15.1" "1.0-5" "R (>= 2.0.0)" NA NA
bitops "2.15.2" "1.0-5" NA NA NA
e1071 "2.15.2" "1.6-1" "class" NA NA
IBrokers "2.15.2" "0.9-10" "xts" NA NA
mgcv "2.15.2" "1.7-22" "R (>= 2.14.0), stats, graphics" NA NA
munsell "2.15.2" "0.4" NA NA NA
randomForest "2.15.2" "4.6-7" "R (>= 2.5.0), stats" NA NA
rbenchmark "2.15.2" "1.0.0" NA NA NA
tree "2.15.2" "1.0-33" "R (>= 2.15.0), grDevices, graphics, stats" NA NA
tseries "2.15.2" "0.10-30" "R (>= 2.10.0)" NA NA
zoo "2.15.2" "1.7-9" "R (>= 2.10.0), stats" NA NA
Cairo "2.15.3" "1.5-2" "R (>= 2.4.0)" NA NA
dichromat "2.15.3" "2.0-0" "R (>= 2.10), stats" NA NA
digest "2.15.3" "0.6.3" "R (>= 2.4.1)" NA "yes"
doMC "2.15.3" "1.3.0" "R (>= 2.14.0), foreach(>= 1.2.0), iterators(>= 1.0.0),\nparallel" NA "no"
FastRWeb "2.15.3" "1.1-0" "R (>= 2.0.0), Cairo" NA NA
forecast "2.15.3" "4.03" "R (>= 2.14.0), stats, graphics" "Rcpp, RcppArmadillo" "yes"
fracdiff "2.15.3" "1.4-2" NA NA NA
ggplot2 "2.15.3" "0.9.3.1" "R (>= 2.14), stats, methods" NA "no"
gtable "2.15.3" "0.1.2" "R (>= 2.14), grid" NA NA
inline "2.15.3" "0.3.11" "R (>= 2.4.0), methods" NA "no"
microbenchmark "2.15.3" "1.3-0" NA NA "yes"
nnet "2.15.3" "7.3-6" "R (>= 2.14.0), stats, utils" NA "yes"
PerformanceAnalytics"2.15.3" "1.1.0" "R (>= 2.14.0), zoo, xts (>= 0.8-9)" NA NA
plyr "2.15.3" "1.8" "R (>= 2.11.0)" NA NA
proto "2.15.3" "0.3-10" NA NA NA
quantmod "2.15.3" "0.4-0" "Defaults, xts(>= 0.9-0), zoo, TTR(>= 0.2), methods" NA NA
Rcpp "2.15.3" "0.10.3" "R (>= 2.15.1)" NA "yes"
RcppArmadillo "2.15.3" "0.3.800.1" "R (>= 2.14.0), Rcpp (>= 0.10.2)" "Rcpp" "yes"
RCurl "2.15.3" "1.95-4.1" "R (>= 2.7.0), methods, bitops" NA "yes"
reshape2 "2.15.3" "1.2.2" NA NA NA
RInside "2.15.3" "0.2.10" "R (>= 2.10.0), Rcpp (>= 0.8.5)" "Rcpp" NA
rJava "2.15.3" "0.9-4" "R (>= 2.5.0), methods" NA "yes"
rjson "2.15.3" "0.2.12" "R (>= 2.12.0)" NA NA
Rserve "2.15.3" "1.7-0" "R (>= 1.5.0)" NA NA
RWeka "2.15.3" "0.4-16" "R (>= 2.6.0)" NA "no"
RWekajars "2.15.3" "3.7.9-1" NA NA "no"
scales "2.15.3" "0.2.3" "R (>= 2.12), methods" NA NA
slam "2.15.3" "0.1-28" "R (>= 2.8.0)" NA NA
stringr "2.15.3" "0.6.2" "R (>= 2.14)" NA NA
tm "2.15.3" "0.5-8.3" "R (>= 2.14.0), methods" NA NA
TTR "2.15.3" "0.22-0" "xts (>= 0.9-3)" "xts" "yes"
XML "2.15.3" "3.96-1.1" "R (>= 1.2.0), methods, utils" NA "yes"
xts "2.15.3" "0.9-3" "zoo (>= 1.7-2)" "zoo (>= 1.7.2)" NA
xtsExtra "2.15.3" "0.0-1" "zoo, xts" NA NA
colorspace "3.0.0" "1.2-2" "R (>= 2.13.0), methods" NA "yes"
DBI "3.0.0" "0.2-7" "R (>= 2.15.0), methods" NA "no"
Hmisc "3.0.0" "3.10-1.1" "R (>= 2.4.0), methods, survival" NA "yes"
quadprog "3.0.0" "1.5-5" "R (>= 2.15.0)" NA "yes"
RSQLite "3.0.0" "0.11.3" "R (>= 2.10.0), methods, DBI (>= 0.2-5)" NA "yes"
base "3.0.0" "3.0.0" NA NA NA
boot "3.0.0" "1.3-9" "R (>= 3.0.0), graphics, stats" NA NA
class "3.0.0" "7.3-7" "R (>= 3.0.0), stats, utils" NA "yes"
cluster "3.0.0" "1.14.4" "R (>= 2.10.0), stats, graphics, utils" NA "yes"
codetools "3.0.0" "0.2-8" "R (>= 2.1)" NA NA
compiler "3.0.0" "3.0.0" NA NA NA
datasets "3.0.0" "3.0.0" NA NA NA
foreign "3.0.0" "0.8-53" "R (>= 2.14.0), stats" NA "yes"
graphics "3.0.0" "3.0.0" NA NA NA
grDevices "3.0.0" "3.0.0" NA NA NA
grid "3.0.0" "3.0.0" NA NA NA
KernSmooth "3.0.0" "2.23-10" "R (>= 2.5.0), stats" NA "yes"
lattice "3.0.0" "0.20-15" "R (>= 2.15.1)" NA "yes"
MASS "3.0.0" "7.3-26" "R (>= 3.0.0), grDevices, graphics, stats, utils" NA "yes"
Matrix "3.0.0" "1.0-12" "R (>= 2.15.0), stats, methods, utils, lattice" NA "yes"
methods "3.0.0" "3.0.0" NA NA NA
mgcv "3.0.0" "1.7-22" "R (>= 2.14.0), stats, graphics" NA NA
nlme "3.0.0" "3.1-109" "graphics, stats, R (>= 3.0.0)" NA NA
nnet "3.0.0" "7.3-6" "R (>= 2.14.0), stats, utils" NA "yes"
parallel "3.0.0" "3.0.0" NA NA NA
rpart "3.0.0" "4.1-1" "R (>= 2.14.0), graphics, stats, grDevices" NA "yes"
spatial "3.0.0" "7.3-6" "R (>= 3.0.0), graphics, stats, utils" NA NA
splines "3.0.0" "3.0.0" NA NA NA
stats "3.0.0" "3.0.0" NA NA NA
stats4 "3.0.0" "3.0.0" "methods, graphics, stats" NA NA
survival "3.0.0" "2.37-4" "stats, utils, graphics, splines, R (>= 2.13.0)" NA "yes"
tcltk "3.0.0" "3.0.0" NA NA NA
tools "3.0.0" "3.0.0" NA NA NA
utils "3.0.0" "3.0.0" NA NA NA
答案 0 :(得分：34)
所需命令不您所声明的内容：update.packages(ask=F)，而是以下update.packages(ask=FALSE, checkBuilt=TRUE)。
尝试一下，所有仍然维护和可用的CRAN包当然会被处理掉。你从github，Simon的rforge，r-forge或其他随机回购安装的东西需要手动帮助。
自R 3.0.0问世以来，已在各个场地详细讨论过这个问题。
答案 1 :(得分：4)
Dirk的回答让我大部分时间都离开了，只留下了从R-Forge安装的xtsExtra。我建议反对 update.packages(ask=FALSE, checkBuilt=TRUE, repos="http://R-Forge.R-project.org")因为它似乎用他们的R-Forge版本更新了一些CRAN包;这可能意味着它会安装更多实验版本（？）。
所以，我这样做了：
remove.packages('xtsExtra')
install.packages("xtsExtra", repos="http://R-Forge.R-project.org")