R: Printing compositional data.

print.acomp {compositions} | R Documentation

## Printing compositional data.

### Description

Prints compositional objects with appropriate missing encodings.

### Usage

    ## S3 method for class 'acomp'
    print(x,...,replace0=TRUE)
    ## S3 method for class 'aplus'
    print(x,...,replace0=TRUE)
    ## S3 method for class 'rcomp'
    print(x,...,replace0=FALSE)
    ## S3 method for class 'rplus'
    print(x,...,replace0=FALSE)

### Arguments

`x` | a compositional object
`...` | further arguments to `print.default`
`replace0` | logical: Shall 0 be treated as "Below detection Limit" with unkown limit.

### Details

Missings are displayed with an appropriate encoding:

- MARMissing at random: The value is missing independently of its true value.

- MNARMissing NOT at random: The value is missing dependently of its true value, but without a known systematic. Maybe a better name would be: Value dependen missingness.

- BDTbelow detection limit (with unspecified detection limit): The value is missing because it was below an unkown detection limit.

- <Detectionlimitbelow detection limit (with specified detection limit): The value is below the displayed detection limit.

- SZStructural Zero: A true value is either bound to be zero or does not exist for structural nonrandom reasons. E.g. the portion of pregnant girls at a boys school.

- ERRError: An illegal encoding value was found in the object.

### Value

An invisible version of x.

### Missing Policy

The policy of treatment of zeroes, missing values and values below detecion limit is explained in depth in compositions.missings.

### Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de, Raimon Tolosana-Delgado

### References

Boogaart, K.G. v.d., R. Tolosana-Delgado, M. Bren (2006) Concepts for handling of zeros and missing values in compositional data, in: E. Pirard (ed.) (2006)Proceedings of the IAMG'2006 Annual Conference on "Quantitative Geology from multiple sources", September 2006, Liege, Belgium,, S07-01, 4pages, ISBN 978-2-9600644-0-7

### See Also

`clr`,`acomp`, `plot.acomp`, `boxplot.acomp`, `barplot.acomp`, `mean.acomp`, `var.acomp`, `variation.acomp`, `zeroreplace`

### Examples

    data(SimulatedAmounts)
    mydata <- simulateMissings(sa.groups5,dl=0.01,knownlimit=TRUE,
                         MAR=0.05,MNARprob=0.05,SZprob=0.05)
    mydata[1,1]<-BDLvalue
    print(aplus(mydata))
    print(aplus(mydata),digits=3)
    print(acomp(mydata))
    print(rplus(mydata))
    print(rcomp(mydata))

[Package compositions version 1.40-2 Index]