calculate_binom_baseline: Calculate binomials and significance for multiple baselines.

In GenderInfer: This is a Collection of Functions to Analyse Gender Differences

Description

Function to calculate the lower CI, upper CI, percentages and counts, and significance of difference from one or multiple baseline percentages, given supplied confidence level using

Usage

calculate_binom_baseline(data_df, baseline_female, confidence_level = 0.95)

Arguments

data_df,	dataframe in output from reshape_for_binomials containing the columns: female, male, which contain the integer counts of males and females respectively and must be a numeric vector greater than 0.
baseline_female,	female baseline in percentage from baseline.
confidence_level,	confidence level to use for significance calculation, default is 0.95

Value

This function returns a dataframe with additional columns than the input one:

lower_CI = lower confidence level of confidence interval expressed as a percentage

upper_CI = upper confidence level of confidence interval expressed as a percentage

lower_CI_count = lower confidence level of confidence interval expressed as a count

upper_CI_count = upper confidence level of confidence interval expressed as a count

significance = flag indicating whether difference of female percentage with baseline percentage is significant for the row in consideration. It has values "significant" or "" if not.

GenderInfer documentation built on Sept. 29, 2021, 9:07 a.m.