根据列中的值范围删除行 [英] Delete rows based on range of values in column

问题描述

如果列中的值(在本例中为参与者标识号)在某个范围内，例如，我想删除 dataframe 中的数据行61701 至 61721 &61901 至 61929.

I would like to delete rows of data in a dataframe if the values in a column (in this case a participant identification number) fall within a certain range e.g. 61701 to 61721 & 61901 to 61929.

我知道如何根据阈值对数据进行子集化，例如:

I know how to subset data based on a threshold e.g.:

datasetnew = dataset[dataset$X<=100, ]

但不确定如何使用一系列数字对行进行子集化和删除.不确定子集是我需要的.

But not sure how to subset and remove the rows using a range of numbers. Not sure subset is what I need.

推荐答案

或者更直接的实现将只是使用 !

Or a more straight forward implementation will be just negate these rows using !

dataset[with(dataset, !((X >= 61701 & X <= 61721) | (X >= 61901 & X <= 61929))), ]

或

dataset[with(dataset, !((X %in% 61701:61721) | (X %in% 61901:61929))), ]

对于大数据集，您可以使用data.tables %between% 函数

For a big data set you can use data.tables %between% function

library(data.table)
setDT(dataset)[!(X %between% c(61701, 61721) | X %between% c(61901, 61929))]

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