Turns a smart_cormat() result into a long tibble with one row per
variable pair (lower triangle only, no self-correlations).
If nearPD = TRUE was used, estimates and inference refer to the
original pairs, before the matrix adjustment.
Usage
# S3 method for class 'smartcormat'
tidy(x, ...)Value
A tibble::tibble() with the same columns as tidy.smartcor(),
one row per unique pair.
Examples
csv = system.file("extdata", "gss_2024_casestudy.csv", package = "smartcor")
gss = read.csv(csv)
mat = smart_cormat(
gss[, c("age", "coninc", "sex")],
assume_latent_normal = FALSE,
verbose = FALSE
)
tidy(mat)
#> # A tibble: 3 × 24
#> var_x var_y x_type y_type estimate method method_label rationale statistic
#> <chr> <chr> <chr> <chr> <dbl> <chr> <chr> <chr> <dbl>
#> 1 age coninc count conti… 0.0369 spear… Spearman Ra… Sorted r… 4.33e+9
#> 2 age sex count binary -0.0104 rank_… Rank-Biseri… The Jarq… -4.91e-1
#> 3 coninc sex continu… binary -0.134 rank_… Rank-Biseri… The Jarq… -6.32e+0
#> # ℹ 15 more variables: p.value <dbl>, p_method <chr>, null_hypothesis <chr>,
#> # p_interpretation <chr>, ci_lower <dbl>, ci_upper <dbl>, conf_level <dbl>,
#> # ci_method <chr>, ci_source <chr>, n <int>, n_complete <int>,
#> # outlier_flag <lgl>, normality_p <dbl>, latent_p <dbl>, linearity_p <dbl>