On Thu, 13 Feb 2025, arilamst...@gmail.com wrote:
Duncan and Berwin,
Thank you for your help.
I really wanted confirmation from someone more experienced than me that I
wasn't missing something. It looks like there is no way to do this in one
line in base R, and that's fine.
For reference, the packages that I am doing this for are acs and
choroplethr, both of which were archived today. (choroplethr depends on
acs, and acs was archived due to a NOTE. I was the maintainer of
chroplethr).
I believe that at least a few people will still want to use choroplethr, at
least for a little while.
Maybe it would be an option for you to adopt and fix the NOTE for "acs"?
Its CRAN page (https://CRAN.R-project.org/package=acs) conveys that the
original acs author will not keep on maintaining it. But the problems seem
like they can be addressed without too much effort. Then you could bring
back both acs and choroplethr.
Best wishes,
Achim
The instructions I have posted on this are consistent with what I wrote
above for:
# Install binary versions of acs' dependencies, then install acs from source
acs_imports = c("stringr", "XML", "plyr", "httr")
install.packages(acs_imports)
install.packages("
https://cran.r-project.org/src/contrib/Archive/acs/acs_2.1.4.tar.gz";)
# Install binary versions of choroplethr's dependencies, then install
choroplethr from source
choroplethr_imports = c("Hmisc", "ggplot2", "dplyr", "R6", "WDI", "ggmap",
"RgoogleMaps", "tigris", "gridExtra", "xml2", "tidyr", "tidycensus",
"testthat", "choroplethrMaps", "choroplethrAdmin1")
install.packages(choroplethr_imports)
install.packages("
https://cran.r-project.org/src/contrib/Archive/choroplethr/choroplethr_3.7.3.tar.gz
")
I believe that both the remotes and devtools packages have functions that
can do this in one line of code. But I believe that they install all the
dependencies from source. I found that there were intermittent failures
with that (not in the acs or choroplethr packages, surprisingly). And also
it was substantially slower (319 seconds for devtools' install_version vs.
43 seconds for the code I showed above).
Berwin, your post actually made me chuckle. In the original draft of my
post I wrote something like "I tried to look at what install.packages does
by typing 'install.packages' but it shows me something I can't understand:
install.packages
function (...)
.rs.callAs(name, hook, original, ...)
<environment: 0x118030cc0>"
I am indeed using RStudio and I had no idea that they overwrote that
function!
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