由于以下错误，可以运行GLM：“可变长度有所不同（发现数据;）

发布于 2025-01-28 04:53:40 字数 433 浏览 1 评论 0原文

我尝试使用GLM函数运行回归，但是我将获得相同的错误消息：“变量长度有所不同（发现数据'）”。我看不出我的数据的长度与我的依赖和自变量的1000个样本的长度没有相同的长度。我进行总数据示例的原因是因为我有超过一百万的观察结果，我想看看该模型是否正常工作。（用所有数据运行它需要很长时间）这是我使用的代码：

sample = sample(1:nrow(agg), 1000, replace = FALSE)
y=agg$TO_DEFAULT_IN_12M_INDICATOR[sample]

test <- glm(as.factor(y) ~., data = as.factor(agg[sample,]), family = binomial)
#coef(full.model)

这里的AGG包含我的所有数据，而我的y是0和1的指示函数。有人知道我如何解决这个问题吗？

原文

I try to run a regression using the glm function, however I keer getting the same error message: "variable lengths differ (found for 'data')". I can't see how my data does not have the same length as I use a sample of 1000 for both my dependent and independent variables. The reason I take a sample of my total data is because I have more than a million observations and I want to see if the model works properly. (running it with all the data takes a very long time) This is the code I use:

sample = sample(1:nrow(agg), 1000, replace = FALSE)
y=agg$TO_DEFAULT_IN_12M_INDICATOR[sample]

test <- glm(as.factor(y) ~., data = as.factor(agg[sample,]), family = binomial)
#coef(full.model)

Here agg contains all my data, and my y is an indicator function of 0's and 1's. Does anyone know how I could fix this problem?

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