BIFIE.freq | R Documentation |
Computes absolute and relative frequencies.
BIFIE.freq(BIFIEobj, vars, group=NULL, group_values=NULL, se=TRUE) ## S3 method for class 'BIFIE.freq' summary(object,digits=3,...) ## S3 method for class 'BIFIE.freq' coef(object,...) ## S3 method for class 'BIFIE.freq' vcov(object,...)
BIFIEobj |
Object of class |
vars |
Vector of variables for which statistics should be computed |
group |
Optional grouping variable(s) |
group_values |
Optional vector of grouping values. This can be omitted and grouping values will be determined automatically. |
se |
Optional logical indicating whether statistical inference based on replication should be employed. |
object |
Object of class |
digits |
Number of digits for rounding output |
... |
Further arguments to be passed |
A list with following entries
stat |
Data frame with frequency statistics |
output |
Extensive output with all replicated statistics |
... |
More values |
survey::svytable
,
intsvy::timss.table
,
Hmisc::wtd.table
############################################################################# # EXAMPLE 1: Imputed TIMSS dataset ############################################################################# data(data.timss1) data(data.timssrep) # create BIFIE.dat object bdat <- BIFIEsurvey::BIFIE.data( data.list=data.timss1, wgt=data.timss1[[1]]$TOTWGT, wgtrep=data.timssrep[, -1 ] ) # Frequencies for three variables res1 <- BIFIEsurvey::BIFIE.freq( bdat, vars=c("lang", "books", "migrant" ) ) summary(res1) # Frequencies splitted by gender res2 <- BIFIEsurvey::BIFIE.freq( bdat, vars=c("lang", "books", "migrant" ), group="female", group_values=0:1 ) summary(res2) # Frequencies splitted by gender and likesc res3 <- BIFIEsurvey::BIFIE.freq( bdat, vars=c("lang", "books", "migrant" ), group=c("likesc","female") ) summary(res3)
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