Plotting in 2D and 3D
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I have 7500 rows and 30 columns. I want to plot and rotate 2 and 3 variables against each other and get regression fits for multiple populations noticeable within this data.
The plots I have been able to generate look very shoddy. I can e-mail examples to anyone that can help.
Thanks
6 Kommentare
Amit
am 20 Jan. 2014
I see the plot. You're plotting 7500 data points and 29 variables. I believe you have issue in the screenshot image?
Antworten (2)
Walter Roberson
am 20 Jan. 2014
Use the 'fill' option when you call scatter().
And notice that you are using a different aspect ratio for the plots then what is being used in the other program. The sample is notably wider compared to its height, which is going to have the effect of stretching the plot. You can adjust your axis Position property to get different aspect ratios.
2 Kommentare
Rookshana Trollope
am 20 Jan. 2014
8 Kommentare
Amit
am 20 Jan. 2014
Bearbeitet: Amit
am 20 Jan. 2014
Yes, they need to count individually. And Indeed they count individually in regression analysis. The more a data point appears, the more weight it contains towards fit.
Doing this visually might be tricky. However, this fall into statics. You can do test of significance (like null hypothesis) for a variable.
Again my interpretation of your responses. In your case. you are looking for brittle failure. And you have 29 different factors you're testing for? Some of these factor will be insignificant towards your response (brittle failure). You're trying to identify the factors which a significant and then create a model describing the effect of these significant factors towards your response (brittle failure).
Walter Roberson
am 20 Jan. 2014
If you are trying to scatter plot data that has multiple points with the same x and y but different value, then you should be using a 3D scatter plot,
scatter3(x, y, value, 'fill')
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