| BIFIE.freq {BIFIEsurvey} | R Documentation | 
Frequency Statistics
Description
Computes absolute and relative frequencies.
Usage
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,...)
Arguments
| 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 | 
Value
A list with following entries
| stat | Data frame with frequency statistics | 
| output | Extensive output with all replicated statistics | 
| ... | More values | 
See Also
survey::svytable,
intsvy::timss.table,
Hmisc::wtd.table
Examples
#############################################################################
# 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)
[Package BIFIEsurvey version 3.6-6 Index]