import numpy as np
from typing import Union, List, Dict

class Analysis:
    """Main class for statistical analysis of experimental designs"""
    
    def __init__(self, data: np.ndarray, design: str = "rcbd"):
        """
        Initialize Analysis object
        
        Parameters
        ----------
        data : np.ndarray
            Raw experimental data
        design : str
            Experimental design type ('rcbd' or 'lattice')
        """
        self.data = np.asarray(data)
        self.design = design.lower()
        self.results = {}
        
    def anova(self) -> Dict:
        """
        Perform analysis of variance
        
        Returns
        -------
        Dict
            ANOVA table with sources of variation, df, SS, MS, F-value and p-value
        """
        if self.design == "rcbd":
            return self._rcbd_anova()
        elif self.design == "lattice":
            return self._lattice_anova()
        else:
            raise ValueError(f"Unknown design type: {self.design}")
            
    def _rcbd_anova(self) -> Dict:
        """Calculate ANOVA for RCBD design"""
        # Implementation of RCBD ANOVA
        pass
        
    def _lattice_anova(self) -> Dict:
        """Calculate ANOVA for Lattice design"""
        # Implementation of Lattice ANOVA
        pass
        
    def means(self) -> Dict:
        """Calculate treatment means and standard errors"""
        pass
        
    def cv(self) -> float:
        """Calculate coefficient of variation"""
        pass 