我正在尝试使用以下代码制作此混合效果模型：
f = read.csv2( file = "C:/Users/Customer/Desktop/R/language.csv", sep="," )
data = f[,c("wals_code", "X81A.Order.of.Subject..Object.and.Verb",
"X87A.Order.of.Adjective.and.Noun", "family")]
data[data==""]<-NA
data<-data[complete.cases(data),]
data <- data[!data$X87A.Order.of.Adjective.and.Noun == "3 No dominant
order", ]
data <- data[!data$X81A.Order.of.Subject..Object.and.Verb == "7 No dominant
order", ]
View(data)
m <- glmer(X87A.Order.of.Adjective.and.Noun ~
X81A.Order.of.Subject..Object.and.Verb + family + (1|wals_code), data =
data, family = binomial)
但我收到以下错误：
警告信息：
1：In（函数（fn，par，lower = rep.int（-Inf，n），upper = rep.int（Inf，：未能收敛于10000次评估）
2：在checkConv（attr（opt，“derivs”）中，选择$ par，ctrl = control $ checkConv，：无法评估缩放渐变
3：在checkConv（attr（opt，“derivs”）中，opt $ par，ctrl = control $ checkConv，：模型未能收敛：使用4个负特征值退化Hessian