logistic_regression_table function

Logistic regression table

Construct a table of logistic regression results from the given glm object estimating a logistic regression model.

logistic_regression_table(
  logistic_reg_glm_object = NULL,
  z_values_keep = FALSE,
  constant_row_clean = TRUE,
  odds_ratio_cols_combine = TRUE,
  round_b_and_se = 3,
  round_z = 3,
  round_p = 3,
  round_odds_ratio = 3,
  round_r_sq = 3,
  round_model_chi_sq = 3,
  pretty_round_p_value = TRUE
)

Arguments

• logistic_reg_glm_object: a glm object estimating a logistic regression model
• z_values_keep: logical. Should the z values be kept in the table? (default = FALSE)
• constant_row_clean: logical. Should the row for the constant be cleared except for b and standard error of b? (default = TRUE)
• odds_ratio_cols_combine: logical. Should the odds ratio columns be combined? (default = TRUE)
• round_b_and_se: number of decimal places to which to round b and standard error of b (default = 3)
• round_z: number of decimal places to which to round z values (default = 3)
• round_p: number of decimal places to which to round p-values (default = 3)
• round_odds_ratio: number of decimal places to which to round odds ratios (default = 3)
• round_r_sq: number of decimal places to which to round R-squared values (default = 3)
• round_model_chi_sq: number of decimal places to which to round model chi-squared values (default = 3)
• pretty_round_p_value: logical. Should the p-values be rounded in a pretty format (i.e., lower threshold: "<.001"). By default, pretty_round_p_value = TRUE.

Returns

the output will be a summary of logistic regression results.

Examples

logistic_regression_table(logistic_reg_glm_object =
glm(formula = am ~ mpg, family = binomial(), data = mtcars))
logistic_regression_table(logistic_reg_glm_object =
glm(formula = am ~ mpg, family = binomial(), data = mtcars),
z_values_keep = TRUE, constant_row_clean = FALSE,
odds_ratio_cols_combine = FALSE)