我写了一个函数来并行运行R，但它似乎不起作用。代码是
'''
rm(list=ls())
square<-function(x){
library(Iso)
y=ufit(x,lmode<-2,x<-c(1:length(x)),type="b")[[2]]
return(y)
}
num<-c(1,2,1,4)
cl <- makeCluster(getOption("cl.cores",2))
clusterExport(cl,"square")
results<-parLapply(cl,num,square)
stopCluster(cl)
'''
错误是：
checkForRemoteErrors(val) 中的错误：
2个节点产生错误；第一个错误：无法打开连接
我认为可能的原因是我在函数中使用了Iso包。但我不知道如何解决。
如果您想并行执行，则必须将函数/整个包导出到每个集群：
library(doSNOW)
## the rest is the same
rm(list=ls())
square<-function(x){
y=ufit(x,lmode<-2,x<-c(1:length(x)),type="b")[[2]]
return(y)
}
num<-c(1,2,1,4)
cl <- makeCluster(getOption("cl.cores",2))
clusterExport(cl,"square")
clusterEvalQ(cl,library(Iso))
## here you should see smth like this, where each cluster prints attached libraries
[[1]]
[1] "Iso" "snow" "stats" "graphics" "grDevices" "utils" "datasets" "methods" "base"
[[2]]
[1] "Iso" "snow" "stats" "graphics" "grDevices" "utils" "datasets" "methods" "base"
## then just call the same as with parallel
results<-parLapply(cl,num,square)
stopCluster(cl)
## alternative is to use Iso::ufit
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