label(x) retrieves the label attribute of x.
label(x) <- "a label" stores the label attribute, and also puts
the class labelled as the first class of x (for S-Plus 5
and later this class is not used and methods for handling this class are
not defined so the "label" and "units" attributes are lost
upon subsetting). The reason for having this class is so that the
subscripting method for labelled, [.labelled, can preserve
the label attribute in R and S-Plus 2000. Also, the print
method for labelled objects prefaces the print with the object's
label (and units if there). If the variable is also given
a "units" attribute using the units function, subsetting
the variable (using [.labelled) will also retain the
"units" attribute.label can optionally append a "units" attribute to the
string, and it can optionally return a string or expression (for R's
plotmath facility) suitable for plotting. labelPlotmath
is a function that also has this function, when the input arguments are
the 'label' and 'units' rather than a vector having those
attributes. When plotmath mode is used to construct labels, the
'label' or 'units' may contain math expressions but they
are typed verbatim if they contain percent signs, blanks, or underscores.
Label (actually Label.data.frame) is a function which generates
S-Plus source code that makes the labels in all the variables in a data
frame easy to edit.
llist is like list except that it preserves the names or
labels of the component variables in the variables label
attribute. This can be useful when looping over variables or using
sapply or lapply. By using llist instead of
list one can annotate the output with the current variable's name
or label. llist also defines a names attribute for the
list and pulls the names from the arguments' expressions for
non-named arguments.
plotmathTranslate is a simple function that translates certain
character strings to character strings that can be used as part of Rplotmath expressions. If the input string has a space or percent
inside, the string is surrounded by a call to plotmath's
paste function.
as.data.frame.labelled is a utility function that is called by
[.data.frame. It is just a copy of as.data.frame.vector.
data.frame.labelled is another utility function, that adds a
class "labelled" to every variable in a data frame that has a
"label" attribute but not a "labelled" class.
reLabelled is used to add a 'labelled' class back to
variables in data frame that have a 'label' attribute but no 'labelled'
oldClass. Useful for changing cleanup.import()'d S-Plus 6 data
frames back to general form for Rand S-Plus 2000.
label(x, units=FALSE, plot=FALSE, default=NULL, grid=FALSE)label(x) <- value
labelPlotmath(label, units=NULL, plotmath=.R., grid=FALSE)
## S3 method for class 'labelled':
print(x, \dots) ## or x - calls print.labelled
Label(object, ...)
## S3 method for class 'data.frame':
Label(object, file='', append=FALSE, \dots)
llist(..., labels=TRUE)
plotmathTranslate(x)
data.frame.labelled(object)
reLabelled(object)
plotmathTranslate is a character string)TRUE to append the 'units' attribute (if present)
to the returned label. The 'units' are surrounded
by brackets. For labelPlotmath is a character string
containing the units of measurementTRUE to return a label suitable for R's plotmath
facility (returns an expression instead of a character string) if R is
in effect. If units is also TRUE, and if both
'label' anx does not have a 'label' attribute and
default (a character string) is specified, the label will be
taken as defaultlattice and grid functions do not support
plotmath expressions for xlab and ylab
arguments. When using lattice functions in R, set the
argument gridTRUE to have labelMathplot return an expression
for plotting using R's plotmath facility. If Ris not in
effect, an ordinary character string is returned.list.
Ignored for print.labelled."", meaning standard output.TRUE to append code generated by Label to file fileFALSE to make llist ignore the variables' label attribute and
use the variables' names.label returns the label attribute of x, if any; otherwise, "".
label is used
most often for the individual variables in data frames. The function
sas.get copies labels over from SAS if they exist.sas.get, describeage <- c(21,65,43)
y <- 1:3
label(age) <- "Age in Years"
plot(age, y, xlab=label(age))
x1 <- 1:10
x2 <- 10:1
label(x2) <- 'Label for x2'
units(x2) <- 'mmHg'
x2
x2[1:5]
dframe <- data.frame(x1, x2)
Label(dframe)
##In these examples of llist, note that labels are printed after
##variable names, because of print.labelled
a <- 1:3
b <- 4:6
label(b) <- 'B Label'
llist(a,b)
llist(a,b,d=0)
llist(a,b,0)
w <- llist(a, b>5, d=101:103)
sapply(w, function(x){
hist(as.numeric(x), xlab=label(x))
# locator(1) ## wait for mouse click
})
# Or: for(u in w) {hist(u); title(label(u))}Run the code above in your browser using DataCamp Workspace