我在R.中尝试用逻辑回归进行预测时收到以下错误
错误："New_temp=data.frame(motor_data$Winding_temp_U="中出现意外的'='
当motor_data$Winding_temp_U(X变量(=130150和180时，我试图预测motor_data$Week_1_break(Y变量(。
这是我的密码。
motor_data <-read.csv(file.choose(),header=T)
attach (motor_data)
motor_data$Winding_temp_U = as.numeric(motor_data$winding_temp_U)
motor_data$Week_1_break = as.factor (motor_data$week_1_break)
logit_1<-glm(motor_data$Week_1_break~motor_data$Winding_temp_U, binomial())
New_temp =data.frame(motor_data$Winding_temp_U = c(130, 150, 180))
predict(logit_1, New_temp, type = "response")
curve(predict(logit_1, data.frame(motor_data$Winding_temp_U=x),type="resp")
您是否试图创建一个值为130、150和180的新data.frame？进行
New_temp = data.frame("Winding_temp_U" = c(130, 150, 180))
而不是
New_temp =data.frame(motor_data$Winding_temp_U = c(130, 150, 180))