This is a script for automatic visualisation of MCA results from FactoMineR in 3 dimensions using Plotly (exported as html). It contains a function called plotfun() that transforms the results of FactoMineR's MCA function FactoMineR::MCA() to a structure that can be used by Plotly, and then creates and exports in html format six 3d scatterplots, namely:
- Contributions of Categories
- Contributions of Individuals
- Coordinates of Categories
- Coordinates of Individuals
- Cosine Squared of Categories
- Cosine Squared of Individuals
The function, in order to work, must be supplied with two arguments:
- A list that contains the results of an MCA function of FactoMineR
- One of three valid plotting methods of Plotly's 3d scatterplot ("lines", "markers" or "linesmarkers").
ex. plotfun(results.MCA, "lines")
The 3d scatterplots' axes are:
- x-dimension: The dimension
- y-dimension: Name of Category or Individual
- z-dimension: The value of each dimension for either Contributions, Coordinates or Cosine Squared
Example output:
