> summary(p1)
Re-fitting to get Hessian
Call:
polr(formula = diosin_density.rp ~ intensity[, 1])
Coefficients:
Value Std. Error t value
intensity[, 1] -5429.317 9.498034e-06 -571625337
Intercepts:
Value Std. Error t value
0|1 5.428000e-01 1.484000e-01 3.657400e+00
1|2 1.101500e+00 1.578000e-01 6.982000e+00
2|3 2.808000e+00 2.697000e-01 1.040980e+01
3|4 3.355600e+00 3.421000e-01 9.809300e+00
Residual Deviance: 438.7548
AIC: 448.7548
This is my result.
I wanted to know relation of data so, I did regression.
I got the result of regression. but I didn't know what values have
information that I want.
My data like somthing
0 -8.00E-05 0 -5.00E-05 0 -2.00E-05 0 -5.00E-05 0 -4.00E-05 0 -0.00012 0
-6.00E-05 3 -0.00011 3 -0.00011 3 -9.00E-05 1 -0.00015 1 -0.00013 1
-4.00E-05 2 -0.00011 2 -6.00E-05 2 3.00E-05 4 -5.00E-05 4 3.00E-05 4
-0.00012 3 -0.00012 3 -4.00E-05 3 -1.00E-05 0 -3.00E-05 0 -3.00E-05 0
-2.00E-05 0 -1.00E-05 0 -8.00E-05 0 -0.00017
The first colum is level of material.
The second colum is measured value.
I want to know how much measured values related with level of material.
I did ordinal regression using polr function.
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