To All How does one get a list of functions from a loaded package so that one can then get the appropriate help for each of the functions. Currently my method is based on a lot of trial-and-error. Here's an example of what I mean...
From this forum I learn that an interesting package called "multtest" exists
on Bioconductor. I then use R Console's "Packages" -- "Install package(s) from Bioconductor" to download "multtest". I then load "multtest" into my session using "Packages -- Load package..." I now want to investigate what functions exist in "multtest".
?package:multtest
Error in "?"(package:multtest) : Object "package" not found
help("multtest")
Error in help("multtest") : No documentation for `multtest' in specified
packages and libraries:
you could try `help.search("multtest")'
help.search("multtest")
------------R Information Window ------------------------------ Help files with alias or title matching 'multtest' using fuzzy matching: eff.aovlist(base) Compute Efficiencies of Multistratum Analysis of Variance dataDensityString(Hmisc) Internal Hmisc functions .mt.BLIM(multtest) Internal multtest functions and variables SSI(spatial) Simulates Sequential Spatial Inhibition Point Process Strauss(spatial) Simulates Strauss Spatial Point Process Type 'help(FOO, package = PKG)' to inspect entry 'FOO(PKG) TITLE'. ------------------------------------------------------------------- Oh Oh... I've met this FOO before...and I don't have a clue on how to interpret this message. So I'm at a loss of how to ask about what is in the "multtest" package unless I go back to the original source on the Web. By visiting http://www.bioconductor.org/repository/release1.3/package/html/graph.html the multtest package consists of... --------- snip multtest Multiple Testing Procedures 1.3.3 ----------snip Function Description golub Gene expression dataset from Golub et al. (1999) mt.maxT Step-down maxT and minP multiple testing procedures mt.plot Plotting results from multiple testing procedures mt.rawp2adjp Adjusted p-values for simple multiple testing procedures mt.reject Identity and number of rejected hypotheses mt.sample.teststat Permutation distribution of test statistics and raw (unadjusted) p-values mt.teststat Computing test statistics for each row of a data frame ------------snip With the information on what the function names are, I can now use the "?" command on each of these functions. But I have a feeling that there is a better way ...Oh FOO REX -------------------------------------------- Message: 33 Date: Tue, 20 Jan 2004 01:58:20 +0100 From: Tobias Sing <tsing at mpi-sb.mpg.de> Subject: Re: [R] graph algorithms in R To: rxg218 at psu.edu Cc: r-help at stat.math.ethz.ch Message-ID: <200401200158.20341.tsing at mpi-sb.mpg.de> Content-Type: text/plain; charset="iso-8859-1"
I was wondering if there are any packages available that can represent mathematical graphs along with functions to manipulate them? Google did'nt turn up anything ( I may be asking too much of R :-/ )
I was looking for the same thing the other day, and found that a graph package for R is being developed as part of the bioconductor project. However, I haven't tried it yet, so I don't know about the status (judging from the function list one shouldn't expect a comprehensive collection of graph algorithms, but at least the base structures and some random graph stuff seem to be implemented already). There is also a package for visualization, Rgraphviz. http://www.bioconductor.org/ http://www.bioconductor.org/repository/release1.3/package/html/graph.html http://www.bioconductor.org/repository/release1.2/package/html/Rgraphviz.htm l