BaseSet (version 1.0.0)

extract-TidySet: Extract

Description

Operators acting on TidySet to extract or replace parts. They are designed to resemble the basic operators.

Usage

# S4 method for TidySet
$(x, name)
# S4 method for TidySet
$(x, name) <- value
# S4 method for TidySet
[(x, i, j, k, ..., drop = TRUE)
# S4 method for TidySet
[(x, i, j, k, ...) <- value
# S4 method for TidySet
[[(x, i, j, ..., exact = TRUE)
# S4 method for TidySet
[[(x, i) <- value

Value

Always returns a valid TidySet.

Arguments

x

A TidySet object.

name

The data about the TidySet object to extract.

value

The value to overwrite

i

Which rows do you want to keep? By default all.

j

Which slot do you want to extract? One of "sets", "elements" or "relations".

k

Which columns do you want to extract. By default all.

...

Other arguments currently ignored.

drop

Remove remaining elements, sets and relations? Passed to all arguments of droplevels().

exact

A logical value. FALSE if fuzzy matching is wanted. Add values to the TidySet. Allows to control to which slot is it added.

Examples

TS <- tidySet(list(A = letters[1:5], B = letters[6]))
TS[, "sets", "origin"] <- sample(c("random", "non-random"), 2, replace = TRUE)
TS[, "sets", "type"] <- c("Fantastic", "Wonderful")
# This produces a warning
# TS$description <- c("What", "can", "I", "say", "now", "?")
# Better to be explicit:
TS[, "relations", "description"] <- c("What", "can", "I", "say", "now", "?")
relations(TS)
TS[, "elements", "description"] <- rev(c("What", "can", "I", "say", "now", "?"))
elements(TS)
# Which will be deleted?
# TS$description <- NULL
TS$type
TS$origin <- c("BCN", "BDN")
# Different subsets
TS[1, "elements"]
TS[1, "sets"]
# Always print
TS
TS[, "sets", c("type", "origin")] # Same
TS[, "sets", "origin"] # Drop column type
is(TS[, "sets", "origin"])
TS[, "sets"]
TS[["A"]]
TS[["B"]]
TS[["C"]] # Any other set is the empty set