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There is a hierarchy of check targets: make check for all builders. If this works one can be reasonably happy R is working and do `make install' (or the equivalent). make check-devel for people changing the code: this runs things like the demos and no-segfault which might be broken by code changes, and checks on the documentation (effectively R CMD check on each of the base packages). make check-all runs all the checks, those in check-devel plus tests of the recommended packages. Note that for complete testing you will need a number of other packages installed and available, so if you have a CRAN installation, set R_LIBS (perhaps in ~/.R/check.Renviron) to include it before running these tests. For example, some of the tests on 'nlme' depend on 'Hmisc', and there are a number of cross references from help page to CRAN packages. --- Historical Information ---- In this directory, various tests on R are run automatically. This is the recommended way to check if R has been built successfully on your architecture. make check does make test-Examples runs all the examples from the help files (*.Rd) of all core packages (base, ctest, ..., ts) -- which can take quite long (a few minutes, depending on your environment). make test-Specific The "fast" part of the tests is `test-Specific' which runs the *.R files in this (./tests) directory (tolerantly) compares the result *.Rout file with the prespecified *.Rout.save (if that exists). make test-Reg runs regression tests, that is tests that ensure that things which have been changed (perhaps as a result of bug reports) stay fixed. make test-Internet runs tests which need access to the Internet and/or sockets and so may not run on every machine. You will see some differences in the output, but no test should fail if you do have sockets and Internet access. Further tests are run by the target `make check-devel', including make test-Demo runs all the demos in packages base and stats (but not tcltk), except demo(lm.glm) which is run by example(demo) and so not run again. make test-Random runs a series of tests on the distribution of random variates generated by the rxxxx() functions. The test is a large deviation bound on the Kolmogorov statistic, so also provides a test of the cumulative distribution functions pxxxx(). Because rare events do happen, this test suite will be failed in about 1 in 50 runs. make test-Segfault runs a test abusing all the functions in the base packages via no-segfault.R, and that can be quite slow (a minute or more). A rarely-used target is make test-Gct runs a subset of the specific tests with gctorture turned on. This is slow, taking an hour or two. Martin Maechler for the R Core Team.