randmf_from_df: randmf_from_df function

View source: R/randmf_from_df.R

randmf_from_dfR Documentation

randmf_from_df function

Description

comparison of correlation matrices using randomization test of hypothesized order relations outputs two objects in a list: first the RTHOR results for each model, second the comparisons

Usage

randmf_from_df(df_list, ord = "circular6")

Arguments

df_list

list of dataframes to be run, dataframes input should have only columns for the variables included in the models (e.g., 6 columns for RIASEC)

ord

prediction ordering (default "circular6"). For circular models there are two preset inputs for 6 and 8 variables, "circular6" and "circular8". Also accepts a vector of prediction ordering, for example circular6 = c(1,2,3,2,1,1,2,3,2,1,2,3,1,2,1)

Value

Data frame of RTHOR model results, one row per matrix

Examples

randmf_results <- RTHORR::randmf_from_df(df_list = list(data1, data2),
                                         ord="circular6")


michaellynnmorris/RTHORR documentation built on Dec. 7, 2023, 2:20 a.m.