check_duplicate_rows {TidyDensity} | R Documentation |
Check for Duplicate Rows in a Data Frame
Description
This function checks for duplicate rows in a data frame.
Usage
check_duplicate_rows(.data)
Arguments
.data |
A data frame. |
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.
Value
A logical vector indicating whether each row is a duplicate or not.
Author(s)
Steven P. Sanderson II, MPH
See Also
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()
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)