Question

试图从有序逻辑回归中计算预测概率。但是，我收到以下错误消息：

rep.int（rep.int（seq_len（nx），rep.int（rep.fac，nx）），orep）中的错误：无效的“时间”值

这是我的代码：

new_data <- expand.grid(public=unique(brfss2013$incomeLev),
                        public=unique(brfss2013$X_bmi5),
                        public=unique(brfss2013$X_drnkmo4),
                        public=unique(brfss2013$X_frutsum),
                        public=unique(brfss2013$X_vegesum),
                        public=unique(brfss2013$fc60_))
predict(brfss2_model,new_data,type="probs")    
new <- cbind(brfss2_easier, predict(brfss2013, type="probs"))

这是我的数据样本

brfss_2013 <- structure(list(mentalHealth = structure(c(5L, 1L, 1L, 1L, 1L, 
1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 5L, 1L, 1L, 1L), .Label = c("Excellent", 
"Good", "Ok", "Bad", "Very Bad"), class = "factor"), incomeLev = c("$50,000-$75,000", 
"Over $75,000", "Over $75,000", "$50,000-$75,000", "$50,000-$75,000", 
"Over $75,000", "missing", "$50,000-$75,000", "Over $75,000", 
"$25,000-$35,000", "Over $75,000", "missing", "$50,000-$75,000", 
"missing", "missing", "Over $75,000", "0-$20,000", "Over $75,000", 
"Over $75,000", "$25,000-$35,000"), X_bmi5 = c(3916L, 1822L, 
2746L, 2197L, 3594L, 3986L, 2070L, 2890L, 3017L, 2829L, 2968L, 
2776L, 2067L, 2487L, 2976L, 3681L, 2114L, 2281L, 2835L, 2819L
), X_vegesum = c(53, 148, 191, 136, 243, 143, 216, 360, 172, 
114, 44, 282, 214, 186, 143, 200, 643, 167, 183, 166), fc60_ = c(442, 
506, 474, 417, 406, 512, 575, 442, 557, 392, 614, 491, 360, 423, 
416, 379, 620, 404, 531, 416), X_drnkmo4 = c(2L, 0L, 80L, 16L, 
20L, 0L, 1L, 2L, 4L, 0L, 5L, 0L, 8L, 2L, 0L, 0L, 0L, 0L, 2L, 
10L), X_frutsum = c(413, 20, 46, 49, 7, 157, 150, 67, 100, 58, 
13, 414, 100, 14, 43, 100, 0, 50, 40, 100)), row.names = c(NA, 
20L), class = "data.frame")

从序数逻辑回归计算预测的概率时代码错误

0 个答案: