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I have been trying to create a database and installed the "DBI" package, but I am still facing this error. I reinstalled DBI and RSQLite package, but they don’t seem to work.
library("DBI")
con <- dbConnect
(RSQLite::SQLite(), dbname = ":memory:")
dbListTables(con)
Error:
Error in connection_connect(dbname, loadable.extensions, flags, vfs, extended_types) : function 'Rcpp_precious_remove' not provided by package 'Rcpp'
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One of these new functions is named Rcpp_precious_remove . RStudio Package Manager builds R packages against the latest version of Rcpp available in the current repository. This means that new package binaries -- even of old packages -- may be built against Rcpp 1.0.
The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries.
I had the same problem with another package and the issue was that I was running a recent version of the package compiled against a previous version of Rcpp. As @user20650 points out in the comment, updating Rcpp to 1.0.7 should fix it. You can do it with install.packages ('Rcpp') or update.packages ()`.
As @user20650 points out in the comment, updating Rcpp to 1.0.7 should fix it. You can do it with install.packages ('Rcpp') or update.packages ()`. Using update.packages () you will be asked whether to update any other outdated package as well. On RStudio you can also use the packages panel to update the packages, as in the following image:
An earlier version of Rcpp, containing what we now call the 'classic Rcpp API' was written during 2005 and 2006 by Dominick Samperi. This code has been factored out of Rcpp into the package RcppClassic, and it is still available for code relying on the older interface. New development should always use this Rcpp package instead.
The Rcpp Gallery showcases over one hundred fully documented and working examples. The package RcppExamples contains a few basic examples covering the core data types. A number of examples are included, as are well over one thousand unit tests which provide additional usage examples.
I had the same problem with the packages: raster, tmap and sf. Reinstalling the package Rcpp solved the problem:
install.packages('Rcpp')
library(Rcpp)
I had the same problem with another package and the issue was that I was running a recent version of the package compiled against a previous version of Rcpp. As user20650 points out in the comment, updating Rcpp to 1.0.7 should fix it:
install.packages('Rcpp')
In RStudio you can also use the packages panel to update the packages, as in the following image:
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