[英]Storing model (e.g., lm) in list changes its class
I am storing lm models in a list and then want to use loops to access a specific model to extract results. 我将lm模型存储在列表中,然后想使用循环访问特定模型以提取结果。 Specifically, I have code like this:
具体来说,我有这样的代码:
model1 <- lm(dv ~ group,data=df,na.action=na.omit)
model2 <- lm(dv ~ cov + group,data=df,na.action=na.omit)
model3 <- lm(dv ~ group,data=df_out,na.action=na.omit)
model4 <- lm(dv ~ cov + group,data=df_out,na.action=na.omit)
lom <- list(main=model1,main_cov=model2,main_out=model3, main_cov_out=model4)
for (x in c(1:length(lom))) {
for (y in c(1:length(lom[[x]]))) {
modl <- lolom[[x]][y]
class(modl) <- "lm"
anov <- Anova(modl,type="II") # (from Car package)
} # (y in c(1:length(lom[[x]])))
} # (x in c(1:length(lom)))
but get this error... 但是得到这个错误...
Error in terms.default(object) : no terms component nor attribute In addition: Warning message: In is.na(coef(mod)) : is.na() applied to non-(list or vector) of type 'NULL' terms.default(object)中的错误:没有条件组件或属性。另外:警告消息:在is.na(coef(mod))中:is.na()应用于类型为“ NULL”的非(列表或向量)
I checked the class of "modl" and it was "list" so I tried to change the class hoping that Anova would then be able to access all the relevant information contained in the lm object, but to no avail. 我检查了“ modl”类,并且它是“ list”类,因此我尝试更改该类,希望Anova能够访问lm对象中包含的所有相关信息,但无济于事。 I know the whole object is actually stored in the list by checking names and accessing different levels of the modl object (eg, modl$model).
我知道整个对象实际上是通过检查名称并访问modl对象的不同级别(例如modl $ model)存储在列表中的。
Maybe lapply(lom, Anova,type="II")
? 也许是
lapply(lom, Anova,type="II")
吗?
and if you want a list of all the objects: 以及是否需要所有对象的列表:
lapply(lom, function(x) lapply(seq_along(names(x)), function(i) x[i]))
(Assuming that you really mean lom[[x]][y] and lolom is a typo.) (假设您的意思是lom [[x]] [y],而lolom是一个错字。)
Too many loops? 循环太多?
You want to run Anova on each model, that is, each entry of the list: 您要在每个模型(即列表的每个条目)上运行Anova:
for (x in 1:length(lom)) {
modl <- lom[[x]]
# etc
}
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