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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