R “如何修复”；存储中出错。模式（y）<；-&引用；“双”字：更改系数“的存储模式无效”；套索？

当使用脊线和套索回归时，我得到以下错误

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存储错误。模式（y）在您的情况下，我假设您需要逻辑回归。因此，必须指定

系列

参数。试试这个：

lasso.1 <- glmnet(x = as.matrix(blca.only[,-1]), y = factor(blca.only$Tags), alpha = 1,
family = "binomial")

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lasso.1>lasso.1错误说明了一切：
一个多项式或二项式类有1个或0个观测值
。这意味着
y
中的某些类出现的频率不够。
> lasso.1 <- glmnet(x = as.matrix(blca.only[,-1]), y = factor(blca.only$Tags), alpha = 1)

Error in storage.mode(y) <- "double" : 
  invalid to change the storage mode of a factor
> Y <- factor(blca.only$Tags)
> lasso.1 <- glmnet(x = as.matrix(blca.only[,-1]), y = blca.only$Tags, alpha = 1)
Error in storage.mode(y) <- "double" : 
  invalid to change the storage mode of a factor

> Y <- factor(blca.only$Tags)
> lasso.1 <- glmnet(x = as.matrix(blca.only[,-1]), y = Y, alpha = 1)

Error in storage.mode(y) <- "double" : 
  invalid to change the storage mode of a factor

    > typeof(blca.only)

[1] "list"

lasso.1 <- glmnet(x = as.matrix(blca.only[,-1]), y = factor(blca.only$Tags), alpha = 1,
family = "binomial")