Pearson correlation graph between variables

40 Ansichten (letzte 30 Tage)
Sunil
Sunil am 30 Aug. 2024
Kommentiert: Sunil am 4 Sep. 2024
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

Akzeptierte Antwort

Shubham
Shubham am 30 Aug. 2024
Bearbeitet: Shubham am 30 Aug. 2024
Hi Sunil,
To create a tornado plot of Pearson Correlation Coefficients between a dependent variable ( Y ) and six independent variables, follow these steps:
  1. 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.
  4 Kommentare
Shubham
Shubham am 3 Sep. 2024
Hi Sunil,
This issue may be due to Field Names mismatch. Ensure that your "data" structure actually contains a field named "C".
You can check the fields of "data" using:
fieldnames(data)
Hope this helps.
Sunil
Sunil am 4 Sep. 2024
Hi Shubham
Thanks a lot! It worked.

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (1)

KSSV
KSSV am 30 Aug. 2024
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)
  1 Kommentar
Sunil
Sunil am 30 Aug. 2024
I want to find Pearson correlation not regression relationships. Thanks

Melden Sie sich an, um zu kommentieren.

Kategorien

Mehr zu Discrete Data Plots finden Sie in Help Center und File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by