You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
24 lines
763 B
24 lines
763 B
dose=c(1,1,2,2,3,3)
|
|
response=c(0,1,0,1,0,1)
|
|
count=c(7,3,5,5,2,8)
|
|
|
|
toxic = data.frame(dose, response, count)
|
|
toxic
|
|
|
|
out = glm(response~dose,
|
|
weights = count,
|
|
family = binomial,
|
|
data = toxic)
|
|
summary(out)
|
|
|
|
# Coefficients:
|
|
# Estimate Std. Error z value Pr(>|z|)
|
|
# (Intercept) -2.0496 1.0888 -1.882 0.0598 .
|
|
# dose 1.1051 0.5186 2.131 0.0331 *
|
|
|
|
# dose B = 1.1051 => Exp(1.1051) = 3.02
|
|
# dose 1 증가시 반응성 3.02배 증가한다고 볼 수 있음
|
|
# p-value = 0.03 < 0.05, 귀무가설 기각 => 약의 종류에 따라 반응이 다를 수 있음
|
|
|
|
plot(response~dose, data=toxic, type="n", main="Predicted Probability of Response")
|
|
curve(predict(out, data.frame(dose=x), type="resp"), add=TRUE) |