我正在尝试使用命令在我的笔记本电脑(Ubuntu 12.04)上安装 RNetCDF 包
install.packages('RNetCDF',lib='/home/my_computer/RSCRIPTS/R_LIB/',configure.args="--with-netcdf-include='/home/my_computer/bin/libs4cdo-0.0.10/netcdf-4.2/include/' --with-netcdf-lib='/home/my_computer/local/bin' --with-hdf5-lib='/home/my_computer/local/lib/' --with-udunits-include='/usr/local/lib/' --with-udunits-lib='/usr/local/lib/'",repos='http://star-www.st-andrews.ac.uk/cran/')
但该软件包不会安装。请参阅下面的消息:
trying URL 'http://star-www.st-andrews.ac.uk/cran/src/contrib/RNetCDF_1.6.1-2.tar.gz'
Content type 'application/x-gzip' length 70301 bytes (68 Kb)
opened URL
==================================================
downloaded 68 Kb
* installing *source* package ‘RNetCDF’ ...
** package ‘RNetCDF’ successfully unpacked and MD5 sums checked
checking for gcc... gcc -std=gnu99
checking for C compiler default output file name... a.out
checking whether the C compiler works... yes
checking whether we are cross compiling... no
checking for suffix of executables...
checking for suffix of object files... o
checking whether we are using the GNU C compiler... yes
checking whether gcc -std=gnu99 accepts -g... yes
checking for gcc -std=gnu99 option to accept ISO C89... none needed
checking for nc_open in -lnetcdf... yes
checking for utInit in -ludunits2... no
checking for utScan in -ludunits2... yes
checking how to run the C preprocessor... gcc -std=gnu99 -E
checking for grep that handles long lines and -e... /bin/grep
checking for egrep... /bin/grep -E
checking for ANSI C header files... yes
checking for sys/types.h... yes
checking for sys/stat.h... yes
checking for stdlib.h... yes
checking for string.h... yes
checking for memory.h... yes
checking for strings.h... yes
checking for inttypes.h... yes
checking for stdint.h... yes
checking for unistd.h... yes
checking netcdf.h usability... yes
checking netcdf.h presence... yes
checking for netcdf.h... yes
checking udunits.h usability... yes
checking udunits.h presence... yes
checking for udunits.h... yes
configure: creating ./config.status
config.status: creating R/load.R
config.status: creating src/Makevars
** libs
gcc -std=gnu99 -I/usr/share/R/include -I/usr/local/lib/ -I/home/bauduinm/bin/libs4cdo-0.0.10/netcdf-4.2/include/ -fpic -O3 -pipe -g -c RNetCDF.c -o RNetCDF.o
gcc -std=gnu99 -shared -o RNetCDF.so RNetCDF.o -ludunits2 -lnetcdf -L/home/my_computer/local/lib/ -L/usr/local/lib/ -L/home/my_computer/local/bin -lexpat -L/usr/lib/R/lib -lR
installing to /home/my_computer/RSCRIPTS/R_LIB/RNetCDF/libs
** R
** preparing package for lazy loading
** help
*** installing help indices
** building package indices ...
** testing if installed package can be loaded
Error in dyn.load(file, DLLpath = DLLpath, ...) :
unable to load shared object '/home/my_computer/RSCRIPTS/R_LIB/RNetCDF /libs/RNetCDF.so':
libexpat.so.0: cannot open shared object file: No such file or directory
Error: loading failed
Execution halted
ERROR: loading failed
* removing ‘/home/my_computer/RSCRIPTS/R_LIB/RNetCDF’
The downloaded packages are in
‘/tmp/Rtmpl5MniY/downloaded_packages’
Warning message:
In install.packages("RNetCDF", lib = "/home/my_computer/RSCRIPTS/R_LIB/", :
installation of package ‘RNetCDF’ had non-zero exit status
当我尝试
sudo R CMD INSTALL --libary='/home/my_computer/RSCRIPTS/R_LIB/' --configure-args="--with-netcdf-include='/home/my_computer/bin/libs4cdo-0.0.10/netcdf-4.2/include/' --with-netcdf-lib='/home/my_computer/local/lib/' --with-hdf5-lib='/home/my_computer/local/lib/' --with-udunits-include=/usr/local/lib/ --with-udunits-lib=/usr/local/lib/" /home/my_computer/Downloads/RNetCDF_1.6.1-2.tar.gz
错误消息被替换为
Error in dyn.load(file, DLLpath = DLLpath, ...) :
unable to load shared object '/usr/local/lib/R/site-library/RNetCDF/libs/RNetCDF.so':
libnetcdf.so.7: cannot open shared object file: No such file or directory
libnetcdf.so.7 肯定在/home/my_computer/local/lib/
其中也是我的LD_LIBRARY_PATH
. 不可否认,libexpat.so.0 是第一条错误消息中的文件之一(带有install.packages
),位于与 intel 相关的文件夹中,这些文件夹看起来与 netcdf 库没有任何关系。
谁能启发我?
谢谢。
编辑:好吧,我永远不会知道发生了什么,因为当我在 3 天后再次尝试使用完全相同的install.packages
命令行时,安装的软件包没有任何问题......所以我对可能有同样问题的人的唯一建议是登录退出 R 并重新开始,以防以前会话中的一些错误保留在日志中。