searchme
(Package: rSARP) :
code{searchme
The searchme() function takes the input csv file SearchInput.csv and returns the SearchOut.csv file which defines a search plan.
● Data Source:
CranContrib
● Keywords:
● Alias: searchme
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This function helps check if there are missing values in the modeling data sets. It prints out general statistics for missing values and their specific locations in the data matrix. It returns TRUE/FALSE to indicate whether the data file passes the missing check.
● Data Source:
CranContrib
● Keywords:
● Alias: rSCA.missing
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This function is used for statistical inference or prediction based on an existing stepwise cluster analysis (SCA) model. The results are saved into a text file (file name: rsl_***.txt) at the current work directory.
● Data Source:
CranContrib
● Keywords:
● Alias: rSCA.inference
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This function serves as a tool for modeling the relationships between dependent and independent variables. The modeling results are given by a clustered tree. The information for the clustered tree is saved into two text files: tree file (file name: tree_***.txt) and map file (file name: map_***.txt). The tree file stores the structure of the clustered tree, and the map file contains the detailed information of leaf clusters. There two files are usually generated at the current work directory. If the debug mode is enabled, a log file (file name: log_***.txt) will also be generated at the current work directory.
● Data Source:
CranContrib
● Keywords:
● Alias: rSCA.modeling
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This function aims to analyze the correlations between dependent and independent variables. It prints out a table consisting of the correlation coefficient for each pair of dependent and independent variables.
● Data Source:
CranContrib
● Keywords:
● Alias: rSCA.correlation
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sfaPBootstrap
(Package: rSFA) :
Parametric Bootstrap
If training set too small, augment it with parametric bootstrap
● Data Source:
CranContrib
● Keywords:
● Alias: sfaPBootstrap
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rSFA-package
(Package: rSFA) :
Slow Feature Analysis in R
Slow Feature Analysis in R
● Data Source:
CranContrib
● Keywords: analysis, classification, feature, slow, timeseries
● Alias: rSFA, rSFA-package
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lcovFix
(Package: rSFA) :
Fix a covariance object
Computes the definitive covariance matrix and the average of the covariance object referenced by lcov after a series of update operations.
● Data Source:
CranContrib
● Keywords: internal
● Alias: lcovFix
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sfaExpand
(Package: rSFA) :
Degree 2 Expansion
Expand a signal in the space of polynomials of degree 2. This is the default expansion function used by rSFA.
● Data Source:
CranContrib
● Keywords:
● Alias: sfaExpand
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sfaLoad
(Package: rSFA) :
Load a SFA object.
Load a SFA object.
● Data Source:
CranContrib
● Keywords: internal
● Alias: sfaLoad
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providing 
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