R Programming/Documentation

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Obtaining Help[edit | edit source]

For each package you have a reference manual available as an HTML file from within R or as a PDF on the CRAN website. You also often have Vignettes or comprehensive articles in the R Journal, the Journal of Statistical Software, etc.

vignette(all=FALSE) # vignettes for all attached packages
vignette(all=TRUE) # vignettes for all packages on the computer

You can search for help inside all loaded packages using help() or ?. Usually you do not need to add quotes to function names, but sometimes it can be useful. args() gives the full syntax of a function.

function (formula, data, subset, weights, na.action, method = "qr", 
    model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE, 
    contrasts = NULL, offset, ...) 

apropos() and find() looks for all the functions in the loaded packages containing a keyword or a regular expression[1].

#   [1] "dlnorm"         "dnorm"          "plnorm"        
#   [4] "pnorm"          "qlnorm"         "qnorm"         
#   [7] "qqnorm"         "qqnorm.default" "rlnorm"        
#  [10] "rnorm"          "normalizePath"

You can search for help in all installed packages using help.search() or its shortcut ??.


RSiteSearch() looks for help in all packages and in the R mailing lists. The sos package improves the RSiteSearch() function with the findFn() function. ??? is a wrapper for findFn().

findFn("spline", maxPages = 2)

hints() in the hints package suggests what to do with an object.

fit <- lm(y ~ x)
hints(fit) # returns a list of function using lm objects.

Handouts[edit | edit source]

Teaching Resources[edit | edit source]

Blogs[edit | edit source]

Journals[edit | edit source]

Books[edit | edit source]

useR and other R conferences[edit | edit source]

Search Engine[edit | edit source]

Q&A / Forums[edit | edit source]

References[edit | edit source]

  1. If you want to know more about regular expressions, have a look at the Regular expressions section in the Text Processing page.
  2. Introduction to Data Analysis
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