download linux-matlab:
after the installing step:
1), change the current folder for working folder:
add the content to ***/installed folder/toolbox/local/matlabrc.m
cd ‘cd ‘/home/groot/Music/java_2017/hadoop_r-base/matlab_plot‘
2), deal with error after begining matlab:
change the libstdc++.so.6 to libstdc++.so.6.old in ***/installed folder/sys/os/glnxa64
3), my matlab current folder is like this:
load_scatter.dat:
-2.19 -1.12
-1.56 -0.72
-1.35 -0.31
-0.8 0.34
-0.46 0.52
0.57 1.42
0.97 1.66
1.49 2.52
point_to_line.m:
% caculate the distance from any point to a line;
function d = point_to_line(x,y,z,p,q)
d=abs(x*p+y*q+z)/sqrt(x*x+y*y);
load_scatter_xy.m:
***
% x=-3:0.01:2;
% y=x+1;
% plot(x,y, ‘r‘)
% load_data=load(‘load_scatter.dat‘); % load the data in the file:load_scatter.dat
% x=load_data(:,1);
% y=load_data(:,2);
% scatter(x,y)
%
% p=polyfit(x,y,1); % fit the line from the data in the file:load_scatter.dat
% plot(x,y, ‘o‘, x,polyval(p,x),‘r‘)
% point_to_line(1,-1,1,3,1) % caculate the data using the fuction in the file:point_to_line.m
% the function(x,y):x+y=10, x-y=2 % one method:solve the function(x,y);
% A=[1,1;1,-1]
% B=[10;2]
% A\B
% S=solve(‘x*y=10‘, ‘x/y=2‘)% another method: solve the fucntion(x,y);
% disp(‘S.x‘), disp(S.x), disp(‘S.y‘), disp(S.y) % method 1: show the solution for function(x,y)
% disp(S.x), disp(S.y) % method 2: show the solution for function(x,y)
% x_solve=S.x, y_solve=S.y % method 3: show the solution for fuction(x,y)
% y=solve(‘-0.0945*x^2+2.9289*x-6.4553-13.1==0‘) % solve the function(x);
% x=-10:0.01:10;
% y=-x.^2+3*x+10;
% plot(x, y) % plot the line
%% method: LSM (least square method)
% set the line: y=ax+b;
% M=(ax+b-y)^2
% axi^2 + bxi = xi*yi
% axi + b*N = yi
% x2=sum(xi.^2);
% x1=sum(xi);
% x1y1=sum(xi.*yi);
% y1=sum(yi);
% a=(n*x1y1-x1*y1)/(n*x2-x1*x1);
% b=(y1-a*x1)/n;
% plot(x,y,‘r‘)
%%
% plot the line using LSR method above
load_data=load(‘load_scatter.dat‘); % load the data in the file:load_scatter.dat
xi=load_data(:,1);
yi=load_data(:,2);
x2=sum(xi.^2);
x1=sum(xi);
x1y1=sum(xi.*yi);
y1=sum(yi);
a=(8*x1y1-x1*y1)/(8*x2-x1*x1) % caculate the line gradient using LSM method
b=(y1-a*x1)/8 % caculate the line intercept using LSM method
x_x=-2:0.1:2;
y_y=a*x_x+b;
plot(x_x,y_y,‘r‘) % plot the line after the caculation using LSM method
% begin here!!!
***