print: Printing compositional data.

Description Usage Arguments Details Value Missing Policy Author(s) References See Also Examples

Description

Prints compositional objects with appropriate missing encodings.

Usage

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## 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:

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

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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))

compositions documentation built on May 30, 2017, 3:25 a.m.