close all; clear all; clc; current_script = mfilename('fullpath'); script_directory = fileparts(current_script); file_name0 = 'data_00.csv'; file_name1 = 'data_01.csv'; file_name2 = 'data_02.csv'; file_name3 = 'data_03.csv'; data0 = csvread([script_directory '\' file_name0]); data1 = csvread([script_directory '\' file_name1]);
close all;
clear all;
clc;
current_script = mfilename('fullpath');
script_directory = fileparts(current_script);
file_name0 = 'data_00.csv';
file_name1 = 'data_01.csv';
file_name2 = 'data_02.csv';
file_name3 = 'data_03.csv';
data0 = csvread([script_directory '\' file_name0]);
data1 = csvread([script_directory '\' file_name1]);
data2 = csvread([script_directory '\' file_name2]);
data3 = csvread([script_directory '\' file_name3]);
avg_data = (data1 + data2 + data3) / 3;
figure;
% plot (data0(:,1), data0(:,2), 'b-', 'LineWidth', 2, 'DisplayName', 'Parabolic Curve');
hold on;
% plot(avg_data(:, 1), avg_data(:, 2), 'k-', 'Linewidth', 1, 'DisplayName', 'Average Data Points');
plot(smooth_data(:, 1), smooth_data(:, 2), 'k-', 'Linewidth', 1, 'DisplayName', 'Smoothed Data');
scatter(data1(:,1), data1(:,2), 5, 'r', 'filled', 'DisplayName', 'Sample Data Points 1');
scatter(data2(:,1), data2(:,2), 5, 'g', 'filled', 'DisplayName', 'Sample Data Points 2');
scatter(data3(:,1), data3(:,2), 5, 'y', 'filled', 'DisplayName', 'Sample Data Points 3');
scatter(avg_data(:,1), avg_data(:,2), 5, 'k', 'filled', 'DisplayName', 'Average Data Points');
title('Parabolic Function with Noisy Data Points'); xlabel('x'); ylabel('y'); legend('Location', 'North');
grid on;
hold off;
- Correct for my error codes. I'm trying to practice my learnings.
- Implement in MATLAB
- For the final evaluation of your curve fitting functions, use the Root Mean Square Error and Mean Absolute Error as the final metrics against Data 00.
- Include plots/graphs.
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