R 2.15.0 mcmapply mcMap mapply Map GUI R tempdir() R R 2.14.1 tempfile stdout stderr stdin mc.silent = TRUE stdout stderr 4 6 随机数生成 / boot 1.3-1 R .Random.seed ID RNG .Random.seed JAGS parallel L’Ecuyer et al. (2002) 2 191 2 127 序列L’Ecuyer...
InR, repeated executions can be accomplish using one of the looping functions such asfor(), repeat(), while(),andreplicate(). The family ofapply()function which includes the functionsapply(), lapply(), sapply(), eapply(), mapply(), andrapply()can be also implemented to evaluate some st...
多变量并行,是另一个常见的应用场景,是单变量并行的一个拓展,可以理解为mapply函数的并行版本,多变量并行允许传入多个动态参数,采用foreach包实现。 # 多变量并行计算multi_parallel<-function(func,...,MoreArgs=NULL){":param func:被并行函数:param...:func的多个动态参数:param MoreArgs:func的静态参数(list)...
串行计算lapply; sapplymapply,do.call 并行计算foreach 包 ;mclapply(Linux)或parlapplyforeach包;clusterMap 1.并行计算--单变量x 函数 fun<-function(x){return(x+1);} 1.parallel包 library(parallel)#detectCores函数可以告诉你你的CPU可使用的核数detectCores()r$>mc<-getOption("mc.cores",3)r$>system....
R 2.15.0 mcmapply mcMap mapply Map GUI R tempdir() R R 2.14.1 tempfile stdout stderr stdin mc.silent = TRUE stdout stderr 4 6 随机数生成 / boot 1.3-1 R .Random.seed ID RNG .Random.seed JAGS parallel L’Ecuyer et al. (2002) 2 191 2 127 序列L’Ecuyer...
多变量并行,是另一个常见的应用场景,是单变量并行的一个拓展,可以理解为mapply函数的并行版本,多变量并行允许传入多个动态参数,采用foreach包实现。 #多变量并行计算multi_parallel<-function(func,...,MoreArgs=NULL){":param func:被并行函数:param ...:func的多个动态参数:param MoreArgs:func的静态参数(list...
mapply is provided for the base distribution of R-project and it works fine with distributed data. A similar procedure was used to implement the other steps of the PLS Mode B algorithm (inner estimation and weight updating). We would like to highlight some stages in the process of creating...