Variable Table

Summary information about the variables included in either a data.frame, or a fitted lavaan object.

Usage

varTable(object, ov_names = names(object), ov_names_x = NULL,
    ordered = NULL, factor = NULL, as_data_frame = TRUE, ...)

Arguments

object

Either a data.frame, or an object of class lavaan.

ov_names

Only used if object is a data.frame. A character vector containing the variables that need to be summarized.

ov_names_x

Only used if object is a data.frame. A character vector containing additional variables that need to be summarized.

ordered

Character vector. Which variables should be treated as ordered factors?

factor

Character vector. Which variables should be treated as (unordered) factors?

as_data_frame

If TRUE, return the list as a data.frame.

...

To support old argument names.

Value

A list or data.frame containing summary information about variables in a data.frame. If object is a fitted lavaan object, it displays the summary information about the observed variables that are included in the model. The summary information includes variable type (numeric, ordered, ...), the number of non-missing values, the mean and variance for numeric variables, the number of levels of ordered variables, and the labels for ordered variables.

Examples

HS.model <- ' visual  =~ x1 + x2 + x3
              textual =~ x4 + x5 + x6
              speed   =~ x7 + x8 + x9 '

fit <- cfa(HS.model, data=HolzingerSwineford1939)
varTable(fit)
#>   name idx nobs    type exo user  mean   var nlev lnam
#> 1   x1   7  301 numeric   0    0 4.936 1.363    0     
#> 2   x2   8  301 numeric   0    0 6.088 1.386    0     
#> 3   x3   9  301 numeric   0    0 2.250 1.279    0     
#> 4   x4  10  301 numeric   0    0 3.061 1.355    0     
#> 5   x5  11  301 numeric   0    0 4.341 1.665    0     
#> 6   x6  12  301 numeric   0    0 2.186 1.200    0     
#> 7   x7  13  301 numeric   0    0 4.186 1.187    0     
#> 8   x8  14  301 numeric   0    0 5.527 1.025    0     
#> 9   x9  15  301 numeric   0    0 5.374 1.018    0