methods.dfidx {dfidx}

Methods for dfidx

Description

A dfidx is a data.frame with a "sticky" data.frame column which contains the indexes. Specific methods of functions that extract lines and/or columns of a data.frame are provided.

Usage

## S3 method for class 'dfidx'
x[i, j, drop = TRUE]

## S3 method for class 'dfidx'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)

## S3 method for class 'dfidx'
print(x, ..., n = 10L)

## S3 method for class 'dfidx'
head(x, n = 10L, ...)

## S3 method for class 'dfidx'
x[[y]]

## S3 method for class 'dfidx'
x$y

## S3 replacement method for class 'dfidx'
object$y <- value

## S3 replacement method for class 'dfidx'
object[[y]] <- value

## S3 method for class 'xseries'
print(x, ..., n = 10L)

## S3 method for class 'idx'
print(x, ..., n = 10L)

## S3 method for class 'dfidx'
mean(x, ...)

Arguments

x, object

a dfidx object

i

the row index

j

the column index

drop

if TRUE a vector is returned if the result is a one column data.frame

row.names, optional

arguments of the generic as.data.frame method, not used

...

further arguments

n

the number of rows for the print method

y

the name or the position of the series one wishes to extract

value

the value for the replacement method

Value

as.data.frame and mean return a data.frame, [[ and $ a vector, [ either a dfidx or a vector, ⁠$<-⁠ and ⁠[[<-⁠ modify the values of an existing column or create a new column of a dfidx object, print is called for its side effect

Author(s)

Yves Croissant

Examples

if (requireNamespace("AER")){
data("TravelMode", package = "AER")
TM <- dfidx(TravelMode)
# extract a series (returns as a xseries object)
TM$wait
# or
TM[["wait"]]
# extract a subset of series (returns as a dfidx object)
TM[c("wait", "income")]
# extract a subset of rows and columns
TM[TM$income > 30, c("wait", "income")]
# dfidx, idx and xseries have print methods as (like tibbles), a n
# argument
print(TM, n = 3)
print(idx(TM), n = 3)
print(TM$income, n = 3)
# a dfidx object can be coerced to a data.frame
head(as.data.frame(TM))
}