print.acomp {compositions} | R Documentation |
Prints compositional objects with appropriate missing encodings.
## 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)
x |
a compositional object |
... |
further arguments to print.default |
replace0 |
logical: Shall 0 be treated as "Below detection Limit" with unkown limit. |
Missings are displayed with an appropriate encoding:
An invisible version of x.
The policy of treatment of zeroes, missing values and values below detecion limit is explained in depth in compositions.missings.
K.Gerald v.d. Boogaart http://www.stat.boogaart.de, Raimon Tolosana-Delgado
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
clr
,acomp
,
plot.acomp
, boxplot.acomp
,
barplot.acomp
, mean.acomp
,
var.acomp
, variation.acomp
,
zeroreplace
data(SimulatedAmounts) mydata <- simulateMissings(sa.groups5,detectionlimit=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))