factor_segmentation: Runs factor analysis with varimax rotation using the psych...

In PrenolanM/rsegmenter: What the Package Does (One Line, Title Case)

Runs factor analysis with varimax rotation using the psych package.

Description

Runs factor analysis with varimax rotation using the psych package.

Usage

factor_segmentation(
  df,
  vars,
  weight_var = NULL,
  num_sols,
  rotate = "varimax",
  fac_assign = "avg_loading"
)

Arguments

df	data.frame of numeric variables.
vars	variables to be used in the factor analysis.
weight_var	if not NULL, a vector that contains weights for each observation. The NULL case is equivalent to all cases being weighted 1.
num_sols	number of segment solutions to run.
rotate	method of rotation for factor analysis. See psych::principal() for more details.
fac_assign	method to use to assign segments to rows. Options are one of c("avg_loading","max_score").

Examples

df <- rsegmenter::test_seg_unlabelled
segment_input_vars <- c("seg1","seg2","seg3","seg4","seg5","seg6","seg7","seg8","seg9","seg10")
factor_segmentation(df = df, vars = segment_input_vars, weight_var = "weight", num_sols=c(2:3),
rotate="varimax", fac_assign="avg_loading")

PrenolanM/rsegmenter documentation built on Aug. 7, 2022, 8:56 p.m.