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Calcula correlacao (Pearson/Spearman/Kendall) com p-valor e IC 95% (para Pearson, via transformacao de Fisher).

Usage

rnp_correlacao_teste(
  x,
  y,
  method = c("pearson", "spearman", "kendall"),
  conf = 0.95,
  digits = 4L
)

Arguments

x, y

Vetores numericos.

method

String: "pearson", "spearman", "kendall".

conf

Nivel de confianca para o IC (apenas Pearson).

digits

Inteiro.

Value

tibble com correlacao, p_valor, ic_inf, ic_sup, metodo, n.

Examples

rnp_correlacao_teste(mtcars$mpg, mtcars$wt)
#> # A tibble: 1 × 6
#>   correlacao p_valor ic_inf ic_sup metodo      n
#>        <dbl>   <dbl>  <dbl>  <dbl> <chr>   <int>
#> 1     -0.868       0 -0.934 -0.744 pearson    32
rnp_correlacao_teste(mtcars$mpg, mtcars$hp, method = "spearman")
#> # A tibble: 1 × 6
#>   correlacao p_valor ic_inf ic_sup metodo       n
#>        <dbl>   <dbl>  <dbl>  <dbl> <chr>    <int>
#> 1     -0.895       0     NA     NA spearman    32