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decisionSupport (version 1.114)

row.names.estimate: Get and set attributes of an estimate object.

Description

row.names.estimate returns the variable names of an estimate object which is identical to row.names(x$marginal).

names.estimate returns the column names of an estimate object which is identical to names(x$marginal).

corMat.estimate returns the full correlation matrix of an estimate object.

'corMat<-.estimate' replaces the correlation matrix of an estimate object.

Usage

# S3 method for estimate
row.names(x)
# S3 method for estimate
names(x)
# S3 method for estimate
corMat(rho)
# S3 method for estimate
corMat(x) <- value

Arguments

x

an estimate object.

rho

an estimate object.

value

numeric matrix: new correlation matrix. For details cf. estimate.

See Also

estimate, names.estimate, corMat.estimate, corMat

corMat<-

Examples

Run this code
 # Read the joint estimate information for the variables "sales", "productprice" and 
 # "costprice" from file:
 ## Get the path to the file with the marginal information:
 marginalFilePath=system.file("extdata","profit-4.csv",package="decisionSupport")
 ## Read marginal and correlation file into an estimate:
 parameterEstimate<-estimate_read_csv(fileName=marginalFilePath)
 print(parameterEstimate)
 ## Print the names of the variables of this estimate
 print(row.names(parameterEstimate))
 ## Print the names of the columns of this estimate
  print(names(parameterEstimate))
 ## Print the full correlation matrix of this estimate
  print(corMat(parameterEstimate))

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