logistic_regression function

Logistic regression

Logistic regression

Conduct a logistic regression analysis

logistic_regression( data = NULL, formula = NULL, formula_1 = NULL, formula_2 = 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, print_glm_default_summary = FALSE, print_summary_dt_list = TRUE, print_model_comparison = TRUE, output_type = "summary_dt_list" )

Arguments

  • data: a data object (a data frame or a data.table)

  • formula: formula for estimating a single logistic regression model

  • formula_1: formula for estimating logistic regression model 1 of 2

  • formula_2: formula for estimating logistic regression model 2 of 2

  • 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.

  • print_glm_default_summary: logical. Should the default summary output of the glm objects be printed? (default = FALSE)

  • print_summary_dt_list: logical. Should the summaries of logistic regressions in a data table format be printed? (default = TRUE)

  • print_model_comparison: logical. Should the comparison of two logistic regression models be printed? (default = TRUE)

  • output_type: If output_type = "summary_dt_list" (default), the output of the function will be summaries of the two logistic regressions in a data.table format. If output_type = "glm_object_list", the output of the function will be the two glm objects estimating logistic regression models. If output_type = "glm_default_summary_list", the output of the function will be the R's default summary

    output for the two glm objects estimating logistic regression models. If output_type = "model_comparison_stats", the output of the function will be statistics from comparison of the two logistic regression models. If output_type = "all", the output of the function will be a list of the aforementioned outputs.

Returns

the output will be a summary of logistic regression results, unless set otherwise by the output_type argument to the function.

Examples

logistic_regression(data = mtcars, formula = am ~ mpg) logistic_regression( data = mtcars, formula_1 = am ~ mpg, formula_2 = am ~ mpg + wt)