Providing software solutions since 1976
Capabilities
- Analysis of Variance
- Bayesian Analysis
- Categorical Data Analysis
- Cluster Analysis
- Descriptive Statistics
- Distribution Analysis
- Discriminant Analysis
- Exact Methods
- Group Sequential Design and Analysis
- Market Research
- Missing Value Imputation
- Mixed Models
- Multivariate Analysis
- Nonparametric Statistics
- Power and Sample Size
- Psychometric Analysis
- Regression
- Spatial Analysis
- Structural Equations
- Survey Sampling and Analysis
- Survival Analysis
- Transformations
- SAS/STAT Procedures A-Z
The KDE Procedure
- performs univariate and bivariate kernel density estimation
- computes a variety of common statistics, including estimates of the percentiles of the hypothesized probability density function
- produces a variety of plots, including univariate and bivariate histograms, plots of the kernel density estimates, and contour plots
- saves kernel density estimates into SAS data sets
- obtain separate analyses on observations in groups
- perform weighted estimation
- uses ODS to create a SAS data set corresponding to any table
- supports ODS Graphics
For further details see the SAS/STAT User's Guide:
The KDE Procedure
( PDF | HTML )
Examples
- Computing a Basic Kernel Density Estimate
- Changing the Bandwidth
- Changing the Bandwidth (Bivariate)
- Requesting Additional Output Tables
- Univariate KDE Graphics
- Bivariate KDE Graphics
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