Difference between revisions of "Calc/To-Dos/Statistical Data Analysis Tool"
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+ | The purpose of this page is to outline the requirements of Calc's Statistical Data Analysis Tool (working name), which is yet to be developed by someone with willingness and skills. Feel free to contribute to this page what features you want to see in this tool, how such tool could be developed, or anything else that you need to add. | ||
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= Goal = | = Goal = | ||
Large amount of single or multivariate data require convenient functions to analyze them. There are countless statistical methods which accomplish this. Some of them are already integrated, but many of them are still missing. In most of the cases they produce a one or more values out of one or many vectors of numbers (or categorical variables) which describe those vectors or their relationship between them. The aim is a collection of methods which are easy to use. | Large amount of single or multivariate data require convenient functions to analyze them. There are countless statistical methods which accomplish this. Some of them are already integrated, but many of them are still missing. In most of the cases they produce a one or more values out of one or many vectors of numbers (or categorical variables) which describe those vectors or their relationship between them. The aim is a collection of methods which are easy to use. | ||
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* analysis of multidimensional data | * analysis of multidimensional data | ||
* graphical representation | * graphical representation | ||
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+ | = Task Breakdown = | ||
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+ | == Third Party Library Integration == | ||
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+ | === R === | ||
+ | [http://www.r-project.org/ R] | ||
[[Category:Calc issues]] | [[Category:Calc issues]] |
Revision as of 00:19, 24 June 2006
The purpose of this page is to outline the requirements of Calc's Statistical Data Analysis Tool (working name), which is yet to be developed by someone with willingness and skills. Feel free to contribute to this page what features you want to see in this tool, how such tool could be developed, or anything else that you need to add.
Goal
Large amount of single or multivariate data require convenient functions to analyze them. There are countless statistical methods which accomplish this. Some of them are already integrated, but many of them are still missing. In most of the cases they produce a one or more values out of one or many vectors of numbers (or categorical variables) which describe those vectors or their relationship between them. The aim is a collection of methods which are easy to use.
Overview single and multivariate data analysis
just some thoughts ....
Graphics
- histogram
- density
- bubble
- Box and Whiskers Plot
- Bland and Altman Plot
Models
linear
non-linear
multivariate response variables
- multivariate tests
Patterns
Cluster analysis
Desired Features
What features do users need as statistical data analysis tools?
- analysis of one-dimensional data
- Deviation from the median
- Variation Ratio
- Range
- Pearson r²
- analysis of multidimensional data
- graphical representation