Ktool: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
GUI tool for investigating the kernel density of a sample. | GUI tool for investigating the kernel density of a sample. | ||
===Synopsis=== | ===Synopsis=== | ||
:ktool(x) | :ktool(x) | ||
===Description=== | ===Description=== | ||
Investigate density estimates interactively with various kernel density estimates. Kernel densities are calculated using the kernel with an overlaid best-fit density. | Investigate density estimates interactively with various kernel density estimates. Kernel densities are calculated using the kernel with an overlaid best-fit density. | ||
====INPUTS==== | ====INPUTS==== | ||
* '''x''' = matrix (column vector) in which the sample data is stored. | * '''x''' = matrix (column vector) in which the sample data is stored. | ||
====OUTPUTS==== | ====OUTPUTS==== | ||
* '''No''' outputs. | * '''No''' outputs. | ||
===Examples=== | ===Examples=== | ||
'''Note:''' If a sample contains all negative values, then some of the overlay distributions will not be drawn as they are not applicable. If only some of the sample is made up of negative values, these values are ignored in obtaining the maximum likelihood estimates and subsequent results. | '''Note:''' If a sample contains all negative values, then some of the overlay distributions will not be drawn as they are not applicable. If only some of the sample is made up of negative values, these values are ignored in obtaining the maximum likelihood estimates and subsequent results. | ||
===See Also=== | ===See Also=== | ||
[[cqtool]], [[plotcqq]], [[plotkd]], [[plotqq]], [[qtool]] | [[cqtool]], [[plotcqq]], [[plotkd]], [[plotqq]], [[qtool]] | ||
Revision as of 14:25, 3 September 2008
Purpose
GUI tool for investigating the kernel density of a sample.
Synopsis
- ktool(x)
Description
Investigate density estimates interactively with various kernel density estimates. Kernel densities are calculated using the kernel with an overlaid best-fit density.
INPUTS
- x = matrix (column vector) in which the sample data is stored.
OUTPUTS
- No outputs.
Examples
Note: If a sample contains all negative values, then some of the overlay distributions will not be drawn as they are not applicable. If only some of the sample is made up of negative values, these values are ignored in obtaining the maximum likelihood estimates and subsequent results.