Data for identifying outliers in dfbetas plot.

ols_prep_dfbeta_outliers(d)

Arguments

d

A tibble or data.frame.

Examples

model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars) dfb <- dfbetas(model) n <- nrow(dfb) threshold <- 2 / sqrt(n) dbetas <- dfb[, 1] df_data <- data.frame(obs = seq_len(n), dbetas = dbetas) d <- ols_prep_dfbeta_data(df_data, threshold) ols_prep_dfbeta_outliers(d)
#> obs dbetas #> Merc 230 9 0.4484991 #> Toyota Corolla 20 -0.3583659 #> Toyota Corona 21 0.3763120