如何根据类别计数过滤数据框 [英] How To Filter a Dataframe based on Category Counts

问题描述

如何子集数据框，以便仅包含包含其值在其他行中显示一定时间的列的行.

How do I subset a dataframe so that only rows that contain columns that have a value that shows up a certain amount of times in other rows are included.

例如，如果我有一个标记为食物"的列，我该如何过滤掉所有食物在整个数据框中显示少于5次的所有行?

For example, if I have a column labeled Food, how would I filter out all rows that have a food that shows up less than 5 times in the whole dataframe?

推荐答案

下面是一个简单的示例:

Here's a quick example:

dat <- data.frame(x=runif(50),y=sample(letters,50,replace = TRUE))
dat[dat$y %in% names(table(dat$y))[table(dat$y) > 2],]

选择包含字母出现两次以上的所有行.

That selects all rows that contain a letter that appears more than twice.

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