Pearson correlation graph between variables
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Hi
There are 6 variables (10,000 of each) which I am importing from excel and then using these, I am calculating a new variable let us say, Y (again, 10,000 iterations). How do I plot Pearson correlelation coeffcient between Y and each of 6 variables as tornado plots?
Thanks in advance
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Hi Sunil,
To create a tornado plot of Pearson Correlation Coefficients between a dependent variable ( Y ) and six independent variables, follow these steps:
- Use the "corr" function to calculate correlation between ( Y ) and each independent variable. Below is the MATLAB code snippet to achieve this:
% List of variable names
variables = {'Var1', 'Var2', 'Var3', 'Var4', 'Var5', 'Var6'};
correlations = zeros(1, length(variables));
% Calculate correlations
for i = 1:length(variables)
correlations(i) = corr(data.(variables{i}), Y);
end
2. Use the "barh" function to create a horizontal bar chart for the tornado plot.
barh(correlations, 'FaceColor', [0.5, 0.7, 1]);
Refer to the following MathWorks documentation link for more information on "corr":
Hope this helps.
更多回答（1 个）
clc; clear ;
R = zeros(6,1) ;
for i = 1:6
X = rand(100,1) ;
y = rand(100,1) ;
R(i) = regression(X',y') ;
end
barh(R)
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