A minor modification of the car package's scatterplotMatrix function that makes enhanced scatterplot matrices with univariate displays down the diagonal; spmBCA is an abbreviation for scatterplotMatrixBCA . This function just sets up a call to pairs with custom panel functions.
● Data Source:
CranContrib
● Keywords: hplot
● Alias: scatterplotMatrixBCA, scatterplotMatrixBCA.default, scatterplotMatrixBCA.formula, spmBCA
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create.samples
(Package: BCA) :
Create a Sample Membership Character Variable
Provides a character vector with possible values of "Estimation", "Validation" and "Holdout" that can then be used to assign observations of a data frame to estimation, validation, or (optionally) holdsout samples using the subset option of a variety of functions.
● Data Source:
CranContrib
● Keywords: misc
● Alias: create.samples
●
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scatterplotBCA
(Package: BCA) :
Scatterplots with Boxplots
A minor modification of the car package's scatterplot function that makes enhanced scatterplots, with boxplots in the margins, a lowess smooth, smoothed conditional spread, outlier identification, and a regression line; sp is an abbreviation for scatterplot .
● Data Source:
CranContrib
● Keywords: hplot
● Alias: scatterplotBCA, scatterplotBCA.default, scatterplotBCA.formula, spBCA
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score
(Package: BCA) :
Score a Database based on a Predictive Model
Provides either an integer vector that contains the "desirability" rank of a case in a data set, the fitted probability of a desired response, or the fitted probability adjusted for the true response rate based on the fitted values of a predictive model.
● Data Source:
CranContrib
● Keywords: misc
● Alias: adjProbScore, rankScore, rawProbScore, score
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variable.summary
(Package: BCA) :
Basic summary information of the variables of a data frame
The function returns a data frame where, the row names correspond to the variable names, and a set of columns with summary information for each variable. Its purpose is to allow the user to quickly scan the data frame for potentially problematic variables.
● Data Source:
CranContrib
● Keywords: misc
● Alias: variable.summary
●
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SDIndex
(Package: BCA) :
A Plot of SD Index Values for KMeans Clustering Solutions
Provides a plot of SD cluster validation index values for different numbers of kmeans clusters for a common underlying dataset. The number of clusters that has the lowest value of the SD index represents the "best" solution under the criteria used to construct the SD index.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: SDIndex
●
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bootCVD
(Package: BCA) :
Cluster Solution Diagnositics Using Bootstrap Replicates
Provides a plot of both the Rand index and the CalinskiHarabas index for different numbers of clusters for a common underlying dataset using either the KMeans, KMedians, or Neural Gas clusting algorithms based on a set of bootstrap replicates of the data.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: bootCH, bootCVD, bootPlot
●
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SD.clv
(Package: BCA) :
A Wrapper Function for the clv.SD Function and its Components
Provides a wrapper to several function calls in the clv package needed to construct the SD index value for a clustering solution. The number of clusters that has the lowest value of the SD index represents the "best" solution under the criteria used to construct the SD index.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: SD.clv
●
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relabel.factor
(Package: BCA) :
Relabel Factor Levels
Relabel the levels of factors to provide more descriptive names and reduce the number of factor levels.
● Data Source:
CranContrib
● Keywords: misc
● Alias: relabel.factor
●
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bpCent
(Package: BCA) :
Two Dimensional Biplot of a Clustering Solution
Plot a biplot of a clustering solution on the current graphics device.
● Data Source:
CranContrib
● Keywords: hplot, multivariate
● Alias: bpCent
●
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