BIFIE.hist | R Documentation |
Computes a histogram with same output as in
graphics::hist
.
Statistical inference is not conducted for this method.
BIFIE.hist( BIFIEobj, vars, breaks=NULL, group=NULL, group_values=NULL ) ## S3 method for class 'BIFIE.hist' summary(object,...) ## S3 method for class 'BIFIE.hist' plot(x,ask=TRUE,...)
BIFIEobj |
Object of class |
vars |
Vector of variables for which statistics should be computed. |
breaks |
Optional vector of breaks. Otherwise, it will be automatically defined. |
group |
Optional grouping variable(s) |
group_values |
Optional vector of grouping values. This can be omitted and grouping values will be determined automatically. |
object |
Object of class |
x |
Object of class |
ask |
Optional logical whether it should be asked for new plots. |
... |
Further arguments to be passed |
A list with following entries
histobj |
List with objects of class |
output |
More extensive output |
... |
More values |
graphics::hist
############################################################################# # EXAMPLE 1: Imputed TIMSS dataset ############################################################################# data(data.timss1) data(data.timssrep) # create BIFIE.dat object bifieobj <- BIFIEsurvey::BIFIE.data( data.list=data.timss1, wgt=data.timss1[[1]]$TOTWGT, wgtrep=data.timssrep[, -1 ] ) # histogram res1 <- BIFIEsurvey::BIFIE.hist( bifieobj, vars="ASMMAT", group="female" ) # plot histogram for first group (female=0) plot( res1$histobj$ASMMAT_female0, col="lightblue") # plot both histograms after each other plot( res1 ) # user-defined vector of breaks res2 <- BIFIEsurvey::BIFIE.hist( bifieobj, vars="ASMMAT", breaks=seq(0,900,10), group="female" ) plot( res2, col="orange")
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