penfaData-class: S4 Class for describing the input data
In egeminiani/penfa: Single- And Multiple-Group Penalized Factor Analysis

Description Slots See Also Examples

The penfaData class gives information on the data set provided in input for analysis. This class is an adaptation of the lavData class from the lavaan package.

ngroups: Integer. The number of groups.
group: Character. The observed variables defining the groups.
group.label: Character. The group labels, that is, the values of the group variable, if any.
std.ov: Logical indicating whether the observed variables should be standardized.
nobs: List of the effective number of observations in each group.
norig: List of the original number of observations in each group.
ov.names: List of the observed variable names in each group.
ov: List of details at the observed variable level.
case.idx: List of the case (i.e., observation) indices in each group.
X: List. Local copy of the input data set split into groups.

penfa

data(ccdata)

syntax = 'help  =~   h1 + h2 + h3 + h4 + h5 + h6 + h7 + 0*v1 + v2 + v3 + v4 + v5
          voice =~ 0*h1 + h2 + h3 + h4 + h5 + h6 + h7 +   v1 + v2 + v3 + v4 + v5'

alasso_fit <- penfa(## factor model
                    model  = syntax,
                    data   = ccdata,
                    std.lv = TRUE,
                    ## penalization
                    pen.shrink = "alasso",
                    eta = list(shrink = c("lambda" = 0.01), diff = c("none" = 0)),
                    ## automatic procedure
                    strategy = "auto")

alasso_fit@Data
str(alasso_fit@Data)