Question

在下面的data.frame中，我有3个变量。 id（A1至A10）; var A到E和值。我想根据这些条件删除特定的行

对于每个变量var（A，B，C，D或E）;

如果id == A5和

如果value < 5

然后

删除此特定变量的所有行（10行）。

我将很感激如何做到这一点。

> dput(df)
structure(list(id = structure(c(1L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 
10L, 2L, 1L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 2L, 1L, 3L, 4L, 
5L, 6L, 7L, 8L, 9L, 10L, 2L, 1L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 
10L, 2L, 1L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 2L), .Label = c("A1", 
"A10", "A2", "A3", "A4", "A5", "A6", "A7", "A8", "A9"), class = "factor"), 
    var = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L), .Label = c("A", 
    "B", "C", "D", "E"), class = "factor"), value = c(2, 4, 7, 
    8, 8, 6, 3, 8, 4, 2, 3, 5, 4, 3, 2, 7, 4, 2, 1, 22, 54, 21, 
    36, 52, 14, 75, 12, 15, 24, 3, 2, 4, 5, 7, 9, 21, 22, 12, 
    12, 12, 0.3, 0.4, 0.9, 2, 3, 2, 0.5, 0.2, 0.4, 0.7)), .Names = c("id", 
"var", "value"), class = "data.frame", row.names = c(NA, -50L
))

Answer 1

我们可以使用dplyr和group_by使用filter执行此操作，我们会移除var any次id的组value as＆＃34; A5＆＃34;和library(dplyr) df %>% group_by(var) %>% filter(!any(id == 'A5' & value < 5))小于5。

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                    mFragment.twitterInfo(twitterName,
                            twitterEmail);
                    finishLogIn(true, null);
                }

Answer 2

我们可以使用base R

执行此操作

df[with(df, ave(!(id == 'A5' & value < 5), var, FUN = any)),]

或使用data.table

library(data.table)
setDT(df)[df[, .I[any(!(id == 'A5' & value  < 5))], var]$V1]

Answer 3

你总能做到

df %>% filter((id != A5) | (value >= 5))

基于一行删除多行

3 个答案: