View source: R/randmf_from_df.R
randmf_from_df | R Documentation |
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
randmf_from_df(df_list, ord = "circular6")
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) |
Data frame of RTHOR model results, one row per matrix
randmf_results <- RTHORR::randmf_from_df(df_list = list(data1, data2),
ord="circular6")
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