nFactors (version 2.3.3)

eigenFrom: Identify the Data Type to Obtain the Eigenvalues

Description

The eigenFrom function identifies the data type from which to obtain the eigenvalues. The function is used internally in many functions of the nFactors package to be able to apply these to a vector of eigenvalues, a matrix of correlations or covariance or a data.frame.

Usage

eigenFrom(x)

Arguments

x

numeric: a vector of eigenvalues, a matrix of correlations or of covariances or a data.frame of data

Value

value

character: return the data type to obtain the eigenvalues: "eigenvalues", "correlation" or "data"

Examples

# NOT RUN {
# .......................................................
# Different data types
# Examples of adequate data sources
# Vector of eigenvalues
  data(dFactors)
  x1 <- dFactors$Cliff1$eigenvalues
  eigenFrom(x1)
  
# Data from a data.frame
  x2 <- data.frame(matrix(20*rnorm(100), ncol=5))
  eigenFrom(x2)

# From a covariance matrix
  x3 <- cov(x2)
  eigenFrom(x3)

# From a correlation matrix
  x4 <- cor(x2)
  eigenFrom(x4)

# Examples of inadequate data sources: not run because of errors generated
  # x0 <- c(2,1)             # Error: not enough eigenvalues
  # eigenFrom(x0)
  # x2 <- matrix(x1, ncol=5) # Error: non a symetric covariance matrix
  # eigenFrom(x2)
  # eigenFrom(x3[,(1:2)])    # Error: not enough variables
  # x6 <- table(x5)          # Error: not a valid data class
  # eigenFrom(x6)
# .......................................................
 
# }