Hmisc (version 4.0-2)

contents: Metadata for a Data Frame

Description

contents is a generic method for which contents.data.frame is currently the only method. contents.data.frame creates an object containing the following attributes of the variables from a data frame: names, labels (if any), units (if any), number of factor levels (if any), factor levels, class, storage mode, and number of NAs. print.contents.data.frame will print the results, with options for sorting the variables. html.contents.data.frame creates HTML code for displaying the results. This code has hyperlinks so that if the user clicks on the number of levels the browser jumps to the correct part of a table of factor levels for all the factor variables. If long labels are present ("longlabel" attributes on variables), these are printed at the bottom and the html method links to them through the regular labels. Variables having the same levels in the same order have the levels factored out for brevity.

contents.list prints a directory of datasets when sasxport.get imported more than one SAS dataset.

Usage

contents(object, ...) "contents"(object, sortlevels=FALSE, id=NULL, range=NULL, values=NULL, ...) "print"(x, sort=c('none','names','labels','NAs'), prlevels=TRUE, maxlevels=Inf, number=FALSE, ...) "html"(object, sort=c('none','names','labels','NAs'), prlevels=TRUE, maxlevels=Inf, levelType=c('list','table'), number=FALSE, nshow=TRUE, ...) "contents"(object, dslabels, ...) "print"(x, sort=c('none','names','labels','NAs','vars'), ...)

Arguments

object
a data frame. For html is an object created by contents. For contents.list is a list of data frames.
sortlevels
set to TRUE to sort levels of all factor variables into alphabetic order. This is especially useful when two variables use the same levels but in different orders. They will still be recognized by the html method as having identical levels if sorted.
id
an optional subject ID variable name that if present in object will cause the number of unique IDs to be printed in the contents header
range
an optional variable name that if present in object will cause its range to be printed in the contents header
values
an optional variable name that if present in object will cause its unique values to be printed in the contents header
x
an object created by contents
sort
Default is to print the variables in their original order in the data frame. Specify one of "names", "labels", or "NAs" to sort the variables by, respectively, alphabetically by names, alphabetically by labels, or by increaseing order of number of missing values. For contents.list, sort may also be the value "vars" to cause sorting by the number of variables in the dataset.
prlevels
set to FALSE to not print all levels of factor variables
maxlevels
maximum number of levels to print for a factor variable
number
set to TRUE to have the print and latex methods number the variables by their order in the data frame
nshow
set to FALSE to suppress outputting number of observations and number of NAs; useful when these counts would unblind information to blinded reviewers
levelType
By default, bullet lists of category levels are constructed in html. Set levelType='table' to put levels in html table format.
...
arguments passed from html to format.df, unused otherwise
dslabels
named vector of SAS dataset labels, created for example by sasdsLabels

Value

an object of class "contents.data.frame" or "contents.list". For the html method is an html character vector object.

See Also

describe, html, upData

Examples

Run this code
set.seed(1)
dfr <- data.frame(x=rnorm(400),y=sample(c('male','female'),400,TRUE))
contents(dfr)
dfr <- upData(dfr, labels=c(x='Label for x', y='Label for y'))
attr(dfr$x, 'longlabel') <-
 'A very long label for x that can continue onto multiple long lines of text'

k <- contents(dfr)
print(k, sort='names', prlevels=FALSE)
## Not run: 
# html(k)
# html(contents(dfr))            # same result
# latex(k$contents)              # latex.default just the main information
# ## End(Not run)

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