On 17 Apr 2015, at 15:23 , Duncan Murdoch <[email protected]> wrote:
> On 17/04/2015 5:54 AM, Roy Mendelssohn - NOAA Federal wrote:
>> Hi All:
>>
>> Since R 3.2 has been released and the Mac version should be available
>> shortly, I always forget how the R versioning system and updates relate to
>> installed packages. Some updates work with what you have installed, some do
>> not. I know if the update was to R version 4.x I would likely have to
>> re-install packages. Will this require reinstallation, and in general at
>> what level of update is this the case.
>
> In version x.y.z, you probably won't need to update if only z changes, but
> you will if x or y changes, so you should update in this case.
>
> An easy way to do this is to copy all the packages to the new installation,
> then run
>
> update.packages(checkBuilt = TRUE)
>
> This will reinstall any packages that were built under an earlier version of
> R. (I believe it ignores z in this choice.) The only disadvantage to doing
> this is that you will go to the latest version of all packages, and you might
> have been postponing that due to incompatible changes.
>
On Mac it seems to be a bit less convenient because the default setup allows
installs to the system library. E.g., I have
$ ls /Library/Frameworks/R.framework/Versions/3.1/Resources/library/
ADGofTest codetools graphics nortest stats4
Ecdat colorspace grid numDeriv stringr
Ecfun compiler gsl parallel survival
ISwR copula gss plyr tcltk
KernSmooth datasets gtable proto timeDate
Lahman dichromat labeling pspline timeSeries
MASS digest lattice quadprog tools
Matrix evir lmom reshape2 translations
RColorBrewer fBasics manipulate rpart tseries
Rcpp fEcofin methods rstudio urca
XML fGarch mgcv scales utils
base forecast mnormt sn vcd
boot foreign munsell spatial zoo
bootstrap fracdiff mvtnorm splines
class ggplot2 nlme stabledist
cluster grDevices nnet stats
and once I get around to installing the binaries for 3.2.0, it would be
problematic to copy all that stuff (NB: including "base", for instance) over
the default install.
Something like this may be a better idea:
> lib2 <-
> list.files("/Library/Frameworks/R.framework/Versions/3.0/Resources/library/")
> lib1 <-
> list.files("/Library/Frameworks/R.framework/Versions/3.1/Resources/library/")
> setdiff(lib2,lib1)
[1] "Hmisc" "lme4" "rms" "SparseM"
[5] "stockPortfolio" "zipfR"
> install.packages(setdiff(lib2,lib1))
or, of course, I could have changed the permissions on ..../library to exclude
group write permission by "admin" in the first place (but frankly, I have
forgotten whether one does anything related to this during standard
installation.)
> Duncan Murdoch
>
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--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Office: A 4.23
Email: [email protected] Priv: [email protected]
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