DataToPatterns: Take a data set of individuals and reduce to a data set of...
In CambridgeAssessmentResearch/POSAC: Partial order scalogram analysis
Description
Usage
Arguments
Examples
Description
This function takes a standard data set and converts it into a form ready for POSAC analysis.
The output of the function will be a data frame with one more column that the input data. The final column will be called "freq" and will
hold the number of cases with the given pattern.
Usage
1
Arguments
data
A data frame with each row representing an inidividual and columns representing the variable which make up the patterns of interest.
Examples
1
2
3
4
5
6
d1=data.frame(x1=c(1,1,1,2,2,2,3,3,3)
,x2=c(1,2,1,1,1,2,2,3,3)
,x3=c(1,2,2,2,2,3,3,3,3))
pats=DataToPatterns(d1)
pats
POSAC(pats[,1:3],pats[,4])
CambridgeAssessmentResearch/POSAC documentation built on May 28, 2019, 12:16 p.m.
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Description Usage Arguments Examples
Description
This function takes a standard data set and converts it into a form ready for POSAC analysis. The output of the function will be a data frame with one more column that the input data. The final column will be called "freq" and will hold the number of cases with the given pattern.
Usage
1 |
Arguments
data |
A data frame with each row representing an inidividual and columns representing the variable which make up the patterns of interest. |
Examples
1 2 3 4 5 6 | d1=data.frame(x1=c(1,1,1,2,2,2,3,3,3)
,x2=c(1,2,1,1,1,2,2,3,3)
,x3=c(1,2,2,2,2,3,3,3,3))
pats=DataToPatterns(d1)
pats
POSAC(pats[,1:3],pats[,4])
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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