R将数据随机分为2部分 [英] R split data into 2 parts randomly

问题描述

我正在尝试将我的数据帧随机分为两部分.例如，我想随机将70％的数据放入一个数据帧，将另外30％的数据随机放入另一个数据帧.有没有一种快速的方法来做到这一点?原始数据帧中的行数超过800000.我尝试了for循环，从行数中选择一个随机数，然后使用rbind()将该行绑定到第一个(70％)数据帧并将其从原始数据帧中删除，以获取另一个(30％)数据帧.但这非常慢.我可以用相对快速的方式做到这一点吗?

I am trying to split my data frame into 2 parts randomly. For example, I'd like to get a random 70% of the data into one data frame and the other 30% into other data frame. Is there a fast way to do this? The number of rows in the original data frame is over 800000. I've tried with a for loop, selecting a random number from the number of rows, and then binding that row to the first (70%) data frame using rbind() and deleting it from the original data frame to get the other (30%) data frame. But this is extremely slow. Is there a relatively fast way I could do this?

推荐答案

尝试

n <- 100
data <- data.frame(x=runif(n), y=rnorm(n))
ind <- sample(c(TRUE, FALSE), n, replace=TRUE, prob=c(0.7, 0.3))
data1 <- data[ind, ]
data2 <- data[!ind, ]

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