如何将计算序列分配给 r 中的变量序列 [英] how to assign a sequence of computations to a sequence of variables in r

问题描述

我想在循环中遇到一些棘手的挑战，我想在循环中做得更快.如何将一系列小型计算分配给变量序列?示例:

I have a bit tricky challenge in looping which I would want to do in r to make things faster. How do I assign a sequence of small computations to a sequence of variables? Example:

fex1 = rbind(ben1,mal1)
fex2 = rbind(ben2,mal2)
fex3 = rbind(ben3,mal3)
....
....
fex40 = rbind(ben40,mal40)

其中ben(i)和mal(i)是序列为1:40的7×13矩阵，而fex(i)也是变量名称为1:40的序列.基本上，我已经将一些数据拆分为不同的折叠，并希望对拆分后的数据集进行组合以执行其他一些计算.我已经使用lapply遍历rbind和其他函数，但是如何在矩阵序列上应用rbind这样的函数并将值也存储在变量序列中来实现此任务呢?

where ben(i) and mal(i) are 7 by 13 matrix of sequence 1:40 and fex(i) is also a sequence of variable names 1:40. Basically, I have split some data into various folds and would like to rbind a combination of the split datasets to perform some other computation. I have used lapply to loop over rbind and other functions but how do I achieve this task applying a function like rbind over a sequence of matrices and storing the values also in a sequence of variables?

谢谢.

推荐答案

您应该在此处使用列表:

You should really use a list here:

# 
ben <- <list of all your ben's>
mal <- <list of all your mal's>

fex <- mapply(rbind, ben, mal)

# then just index using
fex[[i]]

如果必须具有单独的变量，请使用 assign :

If you must have separate variables, use assign:

N <- 30 # however many of each `ben` and `mal` you have
for (i in N) {
  bi <- paste0(ben, i)
  mi <- paste0(mal, i)
  fi <- paste0(fex, i)

  assign(fi, rbind(get(bi), get(mi)))
}

注意将您的对象收集到一个列表中:

NOTE to collect your objects into a list:

ben <- lapply(do.call(paste0, list("ben", 1:N)), get)
mal <- lapply(do.call(paste0, list("mal", 1:N)), get)

# Which can then be indexed by
ben[[7]]
mal[[12]]  # etc

但是，您还应该尝试将它们放在getgo的列表中.

However, you should also try to place them in a list from the getgo.

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