factplot {DASplusR}R Documentation

Factor Loading Plot of FA Results

Description

Plots the factor loadings of the different variables for each factor.

Usage

factplot(x, crit = 0.3, col = par("col"), 
         cex = par("cex"), labs = NULL, labs.nchar = NULL, 
         col.line = "gray32", lty = "dashed", lwd = 1, 
         main = NULL, sub = NULL, ...)  

Arguments

x An object of class "factanal".
crit The critical value for plotting the factor loadings. Variables with absolute values of the factor loadings less than or equal to crit are not plotted.
col The color to be used for labeling the variables.
cex The character expansion factor to be applied to the variable labels.
labs A character vector giving the labels for the variables. Its length must be equal to the number of variables. The default is to use the row names of x, or 1:n if the row names are NULL
labs.nchar The maximum number of characters to be used for the labels of the variables. Longer character strings are truncated. This is used only if labs is missing and the row names of x are used as labels.
col.line The color for the lines at +/- 0.5 on the y-axis.
lty The line type to be used for the lines at +/- 0.5 on the y-axis. It can be either an integer or a character string. See par for possible values and their interpretation.
lwd The width of the lines at +/- 0.5 on the y-axis.
main The main title for the plot.
... Additional graphical parameters.

Details

The x-axis is scaled according to the proportion of variability explained by each factor. Note that the unexplained part of the variability of each variable is excluded here. Hence the percentages of the cumulative proportion of the explained variance shown in the plot are different from the ones shown in the summary of the "factanal"-object.

The y-axis is scaled from +1 to -1 and shows the factor loadings of the different variables entering each factor. Lines at +/- 0.5 help to see at one glance whether a variable is important or not.

Side Effects

A plot is produced on the current graphics device.

Author(s)

Andreas Alfons <andreas.alfons@student.tuwien.ac.at>

References

Reimann, C., Filzmoser, P., Garrett, R.G. and Dutter, R. (2008) Statistical Data Analysis Explained. Wiley & Sons.

See Also

FactplotGUI, factanalDAS, biplotDAS.

Examples

  ## KOLA95_Moss data
  data(KOLA95_MOSS)
  factanal.obj <- factanalDAS(data = KOLA95_MOSS, 
      vars = c("Cu","Mg","Mn","Ni","Rb","Th"), 
      logVars = c("Cu","Mg","Mn","Ni","Rb","Th"), 
      factors = 3, robust = "covMcd",
      scores = "regression")
  factplot(factanal.obj)

[Package DASplusR version 0.0-2 Index]