DescTools (version 0.99.52)

Sort: Sort a Vector, a Matrix, a Table or a Data.frame

Description

Sort a vector, a matrix, a table or a data.frame. The base sort function does not have an interface for classes other than vectors and coerces the whole world to a vector. This means you get a sorted vector as result while passing a matrix to sort.
Sort wraps the base sort function and adds an interface for sorting the rows of the named 2-dimensional data structures by the order of one or more of its columns.

Usage

Sort(x, ...)
# S3 method for default
Sort(x, ...)
# S3 method for matrix
Sort(x, ord = NULL, decreasing = FALSE, na.last = TRUE, ...)
# S3 method for table
Sort(x, ord = NULL, decreasing = FALSE, na.last = TRUE, ...)
# S3 method for data.frame
Sort(x, ord = NULL, decreasing = FALSE,
                factorsAsCharacter = TRUE, na.last = TRUE, ...)

Value

the sorted object.

Arguments

x

a numeric, complex. character or logical vector, a factor, a table or a data.frame to be sorted.

decreasing

logical. Should the sort be increasing or decreasing?

factorsAsCharacter

logical. Should factors be sorted by the alphabetic order of their labels or by the order or their levels. Default is TRUE (by labels).

ord

vector of integers or columnames. Defines the columns in a table, in a matrix or in a data.frame to be sorted for.
0 means row.names, 1:n the columns and n+1 the marginal sum. See examples.

na.last

for controlling the treatment of NAs. If TRUE, missing values in the data are put last; if FALSE, they are put first; if NA, they are removed (see order.)

...

further arguments to be passed to or from methods.

Author

Andri Signorell <[e-mail]>

Details

The sort order for factors is the order of their levels (which is particularly appropriate for ordered factors), and usually confusing for unordered factors, whose levels may be defined in the sequence in which they appear in the data (which normally is unordered).

See Also

sort, order

Examples

d.frm <- d.pizza[1:10, c("driver","temperature","delivery_min")]

Sort(d.frm[,1])
# Sort follows the levels by default
levels(d.frm[,1])

Sort(x=d.frm, ord="driver", decreasing=FALSE)
# set factorsAsCharacter = TRUE, if alphabetical order is required
Sort(x=d.frm, ord="driver", decreasing=FALSE, factorsAsCharacter=TRUE)

Sort(x=d.frm, ord=c("driver","delivery_min"), factorsAsCharacter = TRUE)
Sort(x=d.frm, ord=c("driver","delivery_min"), factorsAsCharacter = FALSE)

Sort(x=d.frm, ord=c("driver","delivery_min"), decreasing=c(FALSE, TRUE),
  factorsAsCharacter = FALSE)

# Sorting tables
tab <- table(d.pizza$driver, d.pizza$area)

Sort(x=tab, ord=c(0,2), decreasing=c(TRUE, FALSE))
Sort(x=tab, ord=2, decreasing=TRUE)

# partial matching ok:
Sort(tab, o=1, d=TRUE)