在nlme中循环 [英] Looping in nlme

问题描述

我正在尝试执行一个循环函数，在每次迭代中都使用一个新的预测变量，但是出现以下错误.

Hi I am trying to perform a loop function to in which a new predictor variable is used in each iteration, however I get the following error.

Error in model.frame.default(formula = ~age_c + zglobcog + apoee4_carrier +  : 
  variable lengths differ (found for 'i') 

我使用的数据可以从以下Google驱动器电子表格中获取.
https://docs.google.com/spreadsheets/d/18yll44P25qsGqgZW4RPM

The data I used can obtained from following google drive spreadsheet.
https://docs.google.com/spreadsheets/d/18yll44P25qsGqgZw4RPTMjlGJ0aNLCp-vYugCD7GPk8/pubhtml

library(nlme)  
snplist <- names(mydata)[5:7]

models <- lapply(snplist, function(x){
   lme(zglobcog ~ age_c + factor(apoee4_carrier) + age_c*factor(apoee4_carrier) + 
   substitute(factor(i) + age_c*factor(i), list(i = as.name(x))), 
   data = mydata, random = ~ age_c | pathid, method = "ML", na.action = na.exclude)
})

我也尝试使用for循环并获得相同的错误.

I also tried using a for loop and obtained the same error.

for (i in snplist) {
   lme(zglobcog ~ age_c + factor(apoee4_carrier) + 
   age_c*factor(apoee4_carrier) + factor(i) + age_c*factor(i), 
   data = mydata, random = ~ age_c | pathid, method = "ML", na.action = na.exclude)
}

如何解决此问题?

谢谢

推荐答案

经过大量的故障排除后，我能够解决此问题.关键是要指定要在lme函数之外使用的数据.

After much troubleshooting I was able to resolve this question. The key was to specify what data to use outside of the lme function.

myfunc <- function(x){
out <- with(mydata, lme(zglobcog ~ age_c + factor(apoee4_carrier) + age_c*factor(apoee4_carrier) 
+ factor(i) + age_c*factor(i), random = ~ age_c | pathid, method = "ML", na.action = na.exclude))
out 
}
lapply(mydata[5:7], myfunc)

或者在函数内部使用lapply来运行函数

Or running the function with the lapply inside the function

myfunc <- function(X){
lapply(X, function(.col){
out <- with(mydata, lme(zglobcog ~ age_c + factor(apoee4_carrier) + age_c*factor(apoee4_carrier) 
+ factor(i) + age_c*factor(i), random = ~ age_c | pathid, method = "ML", na.action = na.exclude))
out 
})
}
myfucn(mydata[5:7])

最后仅提供使用Orthodont数据集的示例

And finally just providing a example using the Orthodont data set

library(nlme)
attach(Orthodont)
head(Orthodont)
myfunc <- function(x){
out <- with(Orthodont, lme(distance ~ age + x, random = ~ age | Subject, method = "ML", na.action 
= na.exclude))
out 
}
myfunc(Sex)

这篇关于在nlme中循环的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！