R语言报错‘-’ not meaningful for factors
时间: 2023-06-03 18:07:30 浏览: 647
这个问题属于技术问题,可以给出解决方案。出现这个问题可能是因为 `-` 运算符不能应用于类别型变量(factors)。可以尝试将这些变量转换为数字型变量(numeric)再进行运算,或者使用 `as.character()` 函数将变量转换为字符型变量(character)再进行运算。
相关问题
Error in glm.fit(x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, : NA/NaN/Inf in 'y' In addition: Warning messages: 1: In Ops.factor(y, mu) : ‘-’ not meaningful for factors 2: In Ops.factor(eta, offset) : ‘-’ not meaningful for factors 3: In Ops.factor(y, mu) : ‘-’ not meaningful for factors
这个错误是由于在进行glm拟合时,目标变量(y)包含了NA、NaN或Inf这些非数值的值,同时操作的对象可能是因子(factor)类型的变量。这种情况下,需要先处理掉这些非数值的值,使得y只包含数值型的数据。你可以检查一下目标变量y的数据类型以及是否包含了非数值的值,并做相应的处理,例如使用na.omit()函数删除包含NA值的行,或者将因子变量转化为数值变量等。
'prob' or 'vote' not meaningful for regression
That's correct. 'prob' and 'vote' are typically used for classification problems where the model predicts the probability of each class or the class with the highest probability, respectively. In regression problems, the model predicts a continuous value, so these metrics aren't applicable. Instead, common metrics for regression include mean squared error, mean absolute error, and R-squared.