input: from typing import List
  
  def evaluate_and_plot(logfile: str, calib_folder: str, instrfile: str) -> None:
      """This function performs a series of calculations and plots based on input data. It loads the input data, performs calibration, calculates various values, and generates plots based on instructions provided in a separate text file. The generated plots show absorbed power vs emitted power, absorbed power vs reflectivity, and dissipated power vs wavelength. The function also calculates thermal resistance and displays it on the plot.
      Example:
      evaluate_and_plot('../24_LL_ev/20150211_sample21-1-d6/spot333um.csv', '../24_LL_ev/20150204_calib_333um_s21-1-d6', '../24_LL_ev/20150211_sample21-1-d6/spot333um_instr.csv')
      """
output:     import pandas as pd
      import numpy as np
      import matplotlib.pyplot as plt
      import os
  
      # Load the logfile data
      log_data = pd.read_csv(logfile)
  
      # Load the calibration data
      calib_files = os.listdir(calib_folder)
      calib_data = pd.concat([pd.read_csv(os.path.join(calib_folder, f)) for f in calib_files])
  
      # Load the instruction file
      instr_data = pd.read_csv(instrfile)
  
      # Perform calibration
      log_data['calibrated_emitted_power'] = log_data['emitted_power'] * calib_data['calibration_factor']
  
      # Calculate absorbed power
      log_data['absorbed_power'] = log_data['emitted_power'] - log_data['reflected_power']
  
      # Calculate dissipated power
      log_data['dissipated_power'] = log_data['absorbed_power'] - log_data['emitted_power']
  
      # Calculate thermal resistance
      thermal_resistance = np.mean(log_data['dissipated_power'] / log_data['temperature_change'])
  
      # Plot absorbed power vs emitted power
      plt.figure(figsize=(10, 6))
      plt.plot(log_data['emitted_power'], log_data['absorbed_power'], 'bo-')
      plt.xlabel('Emitted Power')
      plt.ylabel('Absorbed Power')
      plt.title('Absorbed Power vs Emitted Power')
      plt.grid(True)
      plt.show()
  
      # Plot absorbed power vs reflectivity
      plt.figure(figsize=(10, 6))
      plt.plot(log_data['reflected_power'], log_data['absorbed_power'], 'ro-')
      plt.xlabel('Reflectivity')
      plt.ylabel('Absorbed Power')
      plt.title('Absorbed Power vs Reflectivity')
      plt.grid(True)
      plt.show()
  
      # Plot dissipated power vs wavelength
      plt.figure(figsize=(10, 6))
      plt.plot(log_data['wavelength'], log_data['dissipated_power'], 'go-')
      plt.xlabel('Wavelength')
      plt.ylabel('Dissipated Power')
      plt.title('Dissipated Power vs Wavelength')
      plt.grid(True)
      plt.show()
  
      # Display thermal resistance on the plot
      plt.text(0.5, 0.5, f'Thermal Resistance: {thermal_resistance:.2f}', transform=plt.gca().transAxes, fontsize=12, ha='center')
      plt.show()