analyzeRq1: analyzeRq1

In DataScienceSalon/chronic: Clinical Depression: Prevalence, SocioDemographic, Chronic Disease Comorbidity, and Costs

Description

analyzeRq1(brfss)Performs analysis of research question 1: Is there an association between education and income and the prevalence of depression?

Usage

analyzeRq1(brfss)

Arguments

brfss

Data frame of preprocessed 2013 Behavioral Risk Factor Surveillance System (BRFSS) telephone survey.

Details

Function that performs the analysis for research question #1: Is there an association between education and income and the prevalence of depression? The function contains __ primary sections: (!) create Data, (2), create tables, (3), conduct tests, (4) compute oods ratios, and (5) render plots.

Value

A nested list containing marginal, conditional, and joint association frequencies and proportions, plots, statistical tests and odds ratios. The return variables are as follows:

• freqDepression diagnosis frequency table

• jointFreqIncome and education joint association frequency table

• jointPropIncome and education joint association proportion table

• condFreqIncome and education conditional association frequency table

• condPropIncome and education conditional association proportion table

• incomeTableDepression diagnoses by income table

• incomeFreqFrequency of depression diagnoses by level of income table

• incomePropProportion of depression diagnoses by level of income table

• educationTableDepression diagnoses by education table

• educationFreqFrequency of depression diagnoses by level of education table

• educationPropProportion of depression diagnoses by level of education table

• interactionTableDepression diagnoses by income/education interaction table

• interactionFreqFrequency of depression diagnoses by income/education interaction table

• interactionPropProportion of depression diagnoses by income/education interaction table#'

• freqDfFrequency of depression diagnoses by income/education joint association in data frame format

• propDfProportion of depression diagnoses by income/education joint association in data frame format

• incomeFreqDfFrequency of depression diagnoses at each level of income in data frame format

• incomePropDfProportion of depression diagnoses at each level of income in data frame format

• educationFreqDfFrequency of depression diagnoses at each level of education in data frame format

• educationPropDfProportion of depression diagnoses at each level of education in data frame format

• interactionFreqDfFrequency of depression diagnoses at each level of income/education interaction in data frame format

• interactionPropDfProportion of depression diagnoses at each level of income/education interaction in data frame format

• incomeFreqFrequency of depression diagnoses by level of income plot

• incomePropProportion of depression diagnoses by level of income plot

• educationFreqFrequency of depression diagnoses by level of education plot

• educationPropProportion of depression diagnoses by level of education plot

• conditionalPropProportion of depression diagnoses by level of income/education interaction, holding education constant

• incomeIndTest of marginal independence of income on depression

• educationIndTest of marginal independence of education on depression

• incomeIndVCramer's V measure of strength of association of income and depression

• educationIndVCramer's V measure of strength of association of education and depression

• jointIndTest of joint independence of income and education on depression

• jointIndVCramer's V measure of strength of the joint association of education and income on depression

• condIndTest of conditional independence of income on depression, given education

• anovaTest of relative effects of income and education on depression

• incomeOddsOdds of a depression diagnosis at each level of income

• educationOddsOdds of a depression diagnosis at each level of education

• conditionalOddsOdds of a depression diagnosis at each level of income, given education

• interactionOddsOdds of a depression diagnosis at each level of income and education

Create Data

This section filters the preprocessed BRFSS data to include valid values of income, education and a depression diagnosis. An incoime/education interaction variable is created. Finally depression diagnosis data is rendered by income, education and the income/education interaction variable. The variables are as follows:

• rq1DataSubset of BRFSS data including valid values for Income, Education, and Depression Diagnosis

• rq2Data$IncomeEducationIncome/Education interaction variable

• rq1IncomeDataIncome and depression diagnosis data from preprocessed BRFSS data

• rq1EducationDataEducation and depression diagnosis data from preprocessed BRFSS data

• rq1InteractionDataIncome / Education interaction and depression diagnosis data from preprocessed BRFSS data

Create Tables

This section converts the income, education and depression diagnosis data to frequency, proportion, interaction, joint frequency, joint proportion, conditional frequency and conditional proportion tables, The variables are:

• rq1Tablerq1Data in table format

• rq1IncomeTablerq1IncomeData in table format

• rq1EducationTablerq1EducationData in table format

• rq1InteractionTablerq1InteractionData in table format

• rq1IncomeFreqTableFrequencies of depression diagnoses by income level

• rq1IncomePropTableProportions of depression diagnoses by income level

• rq1EducationFreqTableFrequencies of depression diagnoses by education level

• rq1EducationPropTableProportions of depression diagnoses by education level

• rq1JointFreqFrequencies of depression diagnoses by income and education level

• rq1JointPropProportions of depression diagnoses by income and education level

• rq1CondFreqFrequencies of depression diagnoses by income, given education level education level

• rq1JointFreqFJoint frequency table in data frame format.

• rq1IncomeFreqFIncome frequency table in data frame format.

• rq1EducationFreqFEducation frequency table in data frame format.

• rq1InteractionFreqFIncome/education interaction frequency table in data frame format.

• rq1JointPropFJoint proportion table in data frame format.

• rq1IncomePropFIncome proportion table in data frame format.

• rq1EducationPropFEducation proportion table in data frame format.

• rq1InteractionPropFIncome/education interaction proportion table in data frame format.#'

Conduct Tests

This section performs the statistical tests that reveal the associations between depression and income and education. First, chi-squaared tests are conducted to ascertain marginal and joint independence of income and education and depression diagnoses. Cramer's V tests quantified the strength of any association. The Cochran-Mantel-Haenszel test was administered to measure three-way independence between depression diagnoses and income and education. The variables are as follows:

• rq1IncomeIndChi-squared tests of marginal indpendence of income on depression

• rq1EducationIndChi-squared tests of marginal indpendence of education on depression

• rq1JointIndChi-squared tests of joint indpendence of income and education on depression

• rq1IncomeIndVCramer's V test of the strength of the association of income and depression

• rq1EducationIndVCramer's V test of the strength of the association of education and depression

• rq1JointIndVCramer's V test of the strength of the joint association of education and income on depression

• rq1CondIndCochran-Mantel-Haenszel test of conditional independence

• rq1CondIndDfCochran-Mantel-Haenszel test of conditional independence in data frame format

• rq1AnovaTests to determine which indpendent variable has greatest effect on the response, depression diagnoses

Odds Ratios

This section computes the odds ratios for marginal, conditional and joint associations. The variables are as follows:

• rq1IncomeOddsThe marginal odds of a depression diagnosis at each level of income

• rq1IncomeOddsThe marginal odds of a depression diagnosis at each level of education

• rq1ConditionalOddsThe odds of a depression diagnosis at each level of income, given education

• rq1InteractionOddsThe odds of a depression diagnosis at each level of income and education

Create Plots

This section renders the plots for this analysis. Stacked bar plots showing marginal frequency and proportions are rendered for both income and education. Conditional proportion plots are rendered for education and income interaction, holding education constant. The variables are:

• rq1IncomeFreqBarStacked bar plot of the frequencies of depression diagnoses at all income levels

• rq1IncomePropBarStacked bar plot of the proportions of depression diagnoses at all income levels

• rq1EducationFreqBarStacked bar plot of the frequencies of depression diagnoses at all education levels

• rq1EducationPropBarStacked bar plot of the proportions of depression diagnoses at all education levels

• rq1ConditionalPlotsStacked bar plot of the proportions of depression diagnoses at all income/education levels, holding education constant

Author(s)

John James, [e-mail]

DataScienceSalon/chronic documentation built on May 8, 2019, 11:47 a.m.