Check for Duplicate Rows in a Data Frame

This function checks for duplicate rows in a data frame.

Usage

check_duplicate_rows(.data)

Arguments

.data: A data frame.

Value

A logical vector indicating whether each row is a duplicate or not.

Details

This function checks for duplicate rows by comparing each row in the data frame to every other row. If a row is identical to another row, it is considered a duplicate.

Other Utility: convert_to_ts(), quantile_normalize(), tidy_mcmc_sampling(), util_beta_aic(), util_binomial_aic(), util_cauchy_aic(), util_chisq_aic(), util_exponential_aic(), util_f_aic(), util_gamma_aic(), util_generalized_beta_aic(), util_generalized_pareto_aic(), util_geometric_aic(), util_hypergeometric_aic(), util_inverse_burr_aic(), util_inverse_pareto_aic(), util_inverse_weibull_aic(), util_logistic_aic(), util_lognormal_aic(), util_negative_binomial_aic(), util_normal_aic(), util_paralogistic_aic(), util_pareto1_aic(), util_pareto_aic(), util_poisson_aic(), util_t_aic(), util_triangular_aic(), util_uniform_aic(), util_weibull_aic(), util_zero_truncated_binomial_aic(), util_zero_truncated_geometric_aic(), util_zero_truncated_negative_binomial_aic(), util_zero_truncated_poisson_aic()

Author

Steven P. Sanderson II, MPH

Examples

data <- data.frame(
  x = c(1, 2, 3, 1),
  y = c(2, 3, 4, 2),
  z = c(3, 2, 5, 3)
)

check_duplicate_rows(data)
#> [1] FALSE  TRUE FALSE FALSE