疏浚功能错误- R包

I have to do statistical analyses on a data set. I would like to create all the possible models and to test them with the dredge function but it doesn't work. Indeed, when I type:

我需要对数据集进行统计分析，我想创建所有可能的模型，并使用挖掘功能对它们进行测试，但它不起作用。事实上,当我类型:

glm1<-glm(presabs~dca1+dca2+se1+se2, family=binomial(logit))
dredge(glm1)

I got this error:

我得到这个错误:

Erreur dans dredge(glm1) : 
'global.model''s 'na.action' argument is not set and options('na.action') is "na.omit"

Can someone help me?

有人能帮助我吗?

2 个解决方案

#1

I know this has been solved, however I came across the same issue and think there is a better way.

我知道这个问题已经解决了，但是我遇到了同样的问题，我认为有更好的办法。

The issue with using options(na.action = "na.fail") is that it changes the global settings of R. If you have a large script changing the global settings will potentially impact on other sections of your code where you implicitly rely on R's default settings. There are two ways to avoid this:

使用选项的问题(na。action = "na.fail")表示它改变了R的全局设置，如果你有一个大的脚本改变全局设置，那么全局设置将潜在地影响到你的代码的其他部分，在那里你隐式地依赖于R的默认设置。有两种方法可以避免这种情况:

After using dredge change the settings back via options(na.action = "na.omit").
使用dredge后，通过选项(na)改变设置。action =“na.omit”)。

OR the better way...

或者更好的办法……

Utilise the regression function's ability to "set the argument". In your case:
利用回归函数的能力“设置参数”。在你的例子:

glm1<-glm(presabs~dca1+dca2+se1+se2, family=binomial(logit), na.action = "na.fail")

glm1 < glm(presabs ~ dca1 + dca2 + se1 + se2,家庭=二项(分对数)、na。action =“na.fail”)

#2

See ?dredge:

看到了什么?泥:

# Example from Burnham and Anderson (2002), page 100:
data(Cement)
options(na.action = "na.fail")   #  prevent fitting models to different datasets

fm1 <- lm(y ~ ., data = Cement)
dd <- dredge(fm1)

If you skip the second line, your described error pops up, as the models are fitted to different datasets (due to removal of NAs).

如果跳过第二行，就会弹出所描述的错误，因为模型适合于不同的数据集(由于删除了NAs)。

#1