Nothing
# Function to output the data frame
output_df <- function(est_eff, beta_threshhold, unstd_beta, bias = NULL, sustain = NULL, recase, obs_r, critical_r, r_con, itcv, non_linear) {
if (abs(est_eff) > abs(beta_threshhold)) {
df <- dplyr::tibble(
action = "to_invalidate",
inference = "reject_null",
percent_bias_to_change_inference = round(bias, 3),
replace_null_cases = round(recase, 3),
unstd_beta = unstd_beta,
beta_threshhold = beta_threshhold,
omitted_variable_corr = r_con,
itcv = itcv
)
}
else if (abs(est_eff) < abs(beta_threshhold)) {
df <- dplyr::tibble(
action = "to_sustain",
inference = "fail_to_reject_null",
percent_bias_to_change_inference = round(sustain, 3),
replace_null_cases = round(recase, 3),
unstd_beta = unstd_beta,
beta_threshhold = beta_threshhold,
omitted_variable_corr = r_con,
itcv = itcv
)
}
else if (est_eff == beta_threshhold) {
warning("The coefficient is exactly equal to the threshold.")
}
# if (abs(obs_r) > abs(critical_r)) {
# df$omitted_variable_corr <- r_con
# }
# else if (abs(obs_r) < abs(critical_r)) {
# df$omitted_variable_corr <- r_con
# }
else if (est_eff == beta_threshhold) {
warning("The coefficient is exactly equal to the threshold.\n")
}
df
}
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