这是我能够创建的glm模型，但我现在想要进行Hosmer Lemeshow GOF测试但得到这个我不明白的错误 -
Call:
glm(formula = BC.result ~ Diabetic + Low.diastolic + Pulse, family =
"binomial", data = Data2)
Deviance Residuals:
Min 1Q Median 3Q Max
-1.0805 -0.4559 -0.3144 -0.2437 2.8259
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -5.86311 0.98715 -5.939 2.86e-09 ***
Diabetic 1.21963 0.37395 3.262 0.001108 **
Low.diastolic 1.27095 0.35074 3.624 0.000291 ***
Pulse 0.02361 0.00780 3.027 0.002470 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 276.40 on 485 degrees of freedom
Residual deviance: 249.71 on 482 degrees of freedom
(14 observations deleted due to missingness)
AIC: 257.71
> hl<- hoslem.test(model3$BC.result, fitted(model3, g=10))
Error in model.frame.default(formula = cbind(y0 = 1 - y, y1 = y) ~ cutyhat)
:
variable lengths differ (found for 'cutyhat')
任何人都可以通过Hosmer Lemeshow适合度测试来解释这个错误吗？
由于