通过删除行的多个逻辑条件对数据框进行子集设置 [英] Subset dataframe by multiple logical conditions of rows to remove
问题描述
我想通过指定哪些行 not (!
)保留在新数据框中来对数据框进行子集化(过滤)。这是一个简化的示例数据框:
I would like to subset (filter) a dataframe by specifying which rows not (!
) to keep in the new dataframe. Here is a simplified sample dataframe:
data
v1 v2 v3 v4
a v d c
a v d d
b n p g
b d d h
c k d c
c r p g
d v d x
d v d c
e v d b
e v d c
例如,如果第v1列的行包含 b, d或 e,则我想摆脱该行的观察值,并生成以下数据框: / p>
For example, if a row of column v1 has a "b", "d", or "e", I want to get rid of that row of observations, producing the following dataframe:
v1 v2 v3 v4
a v d c
a v d d
c k d c
c r p g
我一次成功地基于一个条件进行了子集化。例如,在这里我删除了v1包含 b的行:
I have been successful at subsetting based on one condition at a time. For example, here I remove rows where v1 contains a "b":
sub.data <- data[data[ , 1] != "b", ]
但是,我有很多这样的条件,所以一次一次不理想。我没有成功完成以下操作:
However, I have many, many such conditions, so doing it one at a time is not desirable. I have not been successful with the following:
sub.data <- data[data[ , 1] != c("b", "d", "e")
或
sub.data <- subset(data, data[ , 1] != c("b", "d", "e"))
我也尝试了其他操作,例如!%in%
,但似乎不存在。
有什么想法吗?
I've tried some other things as well, like !%in%
, but that doesn't seem to exist.
Any ideas?
推荐答案
!
应该在附近语句的外部:
The !
should be around the outside of the statement:
data[!(data$v1 %in% c("b", "d", "e")), ]
v1 v2 v3 v4
1 a v d c
2 a v d d
5 c k d c
6 c r p g
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