二项式GLM中的嵌套数据

发布于 2025-02-10 23:20:08 字数 863 浏览 1 评论 0原文

在3个月内，我评估了不同档案类型的鹿的存在或不存在。对于每个月，我每个月都在相同的田野中列出了两个区域的四个晚上。因此，总共8晚（A区为A区为4晚，然后为B区4晚，因为彼此之间有遥远的距离）请参阅图像有关数据的图像我想看看存在是否取决于区域，月和野战类型。因此，除了存在之外，我已经将所有内容编码为因素，

data = comp

data$fieldtype<-as.factor(data$fieldtype)
data$zone<-as.factor(data$zone)
data$month<-as.factor(data$month)
data$night<-as.factor(data$night)

但是如果我理解，夜间应该在一个月内嵌套吗？我已经看到人们只是在做夜晚/月，所以我的glm应该是这样的：

mod3= glm(presence ~ zone +fieldtype + night/month, family= binomial,  data= data)

但是R似乎看到与互动一样，这是正确的吗？我该如何筑巢？而且，我应该将区域作为固定效果吗？感谢您的帮助。

编辑：夜变量编码是对吗？对于3月的典范，我参加了A田：11/12/14和A区和18/19/20/21。在我的数据中，我将它们编码为1/2/3/4/4/1/2/3/4是错误的吗？我应该做1/2/3/4/5/6/7/8吗？每个月我应该做1/至32？因为8晚3个月。请注意，每个区域每天晚上我都会做完全相同的轨道，我每天晚上都在相同的领域。谢谢

原文

I have assessed the presence or not of deer in different filedtype on 2 zone during 3 month.
for each month i have looked a list of the same fields for 4 nights for both zone. So 8 nights in total (4 night for zone A then 4 night for zone B since there are distant from each other)
see image for data exemple
I want to see if the presence depend on the zone, month and fieldtype.
So I have coded everything as factor except presence

data = comp

data$fieldtype<-as.factor(data$fieldtype)
data$zone<-as.factor(data$zone)
data$month<-as.factor(data$month)
data$night<-as.factor(data$night)

but if I understand, night is supposed to be nested in month?
I have seen people just doing night/month so my glm should be like this :

mod3= glm(presence ~ zone +fieldtype + night/month, family= binomial,  data= data)

But R seem to see that as and interaction, is this correct? How can I nest that? And also, should I put zone as a fixed effect?
thanks for your help.

EDIT : is night variable coded right ?
for exemple on march, i went on field : 11/12/13/14 for zone A and 18/19/20/21. in my data i coded them as 1/2/3/4/1/2/3/4 is that wrong ? should i do 1/2/3/4/5/6/7/8 ? and that for each month, or sould i do 1/ to 32 ? because 8 night for 3 month. note that each night for each zone i do the exact same track and i follow each night the same field.
thanks

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