as.ms: Construct scored or ranked multiple-response objects

In tslumley/rimu: Responses in Multiplex

Construct scored or ranked multiple-response objects

Description

The internal representation is as a numeric matrix with 0 when a level is not present and the non-zero rank or score when it is present. The data.frame and matrix methods uses the numeric values of x, and by default set NA values to 'not present'. The list method takes a list with a character vector for each observation and uses the position in the list as the rank/score. The character method splits the string at the separators to give a list and uses the list method. The mr method uses a score of 1 whenever the level is present.

Usage

as.ms(x, ...)
## S3 method for class 'list'
as.ms(x,...,levels=NULL)
## S3 method for class 'data.frame'
as.ms(x,...,na.rm=TRUE)
## S3 method for class 'matrix'
as.ms(x,...,na.rm=TRUE)
## S3 method for class 'mr'
as.ms(x,...)
## S3 method for class 'character'
as.ms(x,sep=", ", ...,levels=NULL)

Arguments

x	object to be converted
...	for compatibility; not used.
levels	Optional character vector giving the permitted levels
na.rm	Convert NA values to 'not present', ie, 0
sep	Regular expression for splitting the character string

Value

Object of class ms

Examples

nzbirds_list<-list(c("kea","tui"), c("kea","ruru","kaki"), c("ruru"),
c("tui","ruru"), c("tui","kea","ruru"), c("tauhou","kea"))
nzbirds_list
(msbirds<-as.ms(nzbirds_list))

(bird_mat <- unclass(msbirds))
as.ms(bird_mat)

tslumley/rimu documentation built on March 21, 2024, 5:58 a.m.