Analyzing the Survey of Consumer Finances
Activate SCF Plot Theme
Estimate Correlation Between Two Continuous Variables in SCF Microdata
Construct SCF Core Data Object
Download and Prepare SCF Microdata for Local Analysis
Tabulate a Discrete Variable from SCF Microdata
Estimate Generalized Linear Model from SCF Microdata
Extract Implicate-Level Estimates from SCF Results
Internal Import Declarations
Load SCF Data as Multiply-Imputed Survey Designs
Estimate Logistic Regression Model using SCF Microdata
Estimate Mean in Multiply-Imputed SCF Data
Estimate the Population Median of a Continuous SCF Variable
Combine Estimates Across SCF Implicates Using Rubin's Rules
Estimate an Ordinary Least Squares Regression on SCF Microdata
Estimate Percentile in a Continuous Variable in SCF Microdata
Stacked Bar Chart of Two Discrete Variables in SCF Data
Bar Plot of Summary Statistics by Grouping Variable in SCF Data
Plot Bar Chart of a Discrete Variable from SCF Data
Plot a Univariate Distribution of an SCF Variable
Hexbin Plot of Two Continuous SCF Variables
Histogram of a Continuous Variable in Multiply-Imputed SCF Data
Smoothed Distribution Plot of a Continuous Variable in SCF Data
Test a Proportion in SCF Data
Format and Display Regression Results from Multiply-Imputed SCF Models
Subset an scf_mi_survey Object
Default Plot Theme for SCF Visualizations
T-Test of Means using SCF Microdata
Modify Each Implicate Individually in SCF Data
Create or Alter SCF Variables
Cross-Tabulate Two Discrete Variables in Multiply-Imputed SCF Data
Analyzing Survey of Consumer Finances Public-Use Microdata
Extract Standard Errors from MIresult Object
Analyze public-use micro data from the Survey of Consumer Finances. Provides tools to download prepared data files, construct replicate-weighted multiply imputed survey designs, compute descriptive statistics and model estimates, and produce plots and tables. Methods follow design-based inference for complex surveys and pooling across multiple imputations. See the package website and the code book for background.