[英]R: Make new vector correlating to a specified level in a factor
I'm stuck with a really easy task and hope someone could help me with it.. 我遇到了一个非常简单的任务,希望有人能帮助我。
I'd like to make a new (sub)vector from an existing vector, based on 1 level of a factor. 我想基于1个因子级别从现有向量中创建一个新的(子)向量。 Example:
例:
v = c(1,2,3,4,5,6,7,8,9,10)
f = factor(rep(c("Drug","Placebo"),5))
I want to make a new vector from v, containing only "Drug" or "Placebo". 我想从v制作一个新的载体,只包含“药物”或“安慰剂”。 Resulting in:
导致:
vDrug = 1,3,5,7,9
vPlacebo = 2,4,6,8,10
Thanks in advance! 提前致谢!
You can easily subset v
by f
: 您可以通过
f
轻松地将v
子集:
v[ f == "Drug" ]
[1] 1 3 5 7 9
However, this approach might become error prone in a more complex environment or with larger data sets. 但是,这种方法可能在更复杂的环境或更大的数据集中容易出错。 Accordingly it would be better to store
v
and f
together in a data.frame
and than perform on this data.frame
all kinds of queries and transformations: 因此,最好将
v
和f
存储在data.frame
而不是对此data.frame
执行各种查询和转换:
mdf <- data.frame( v = c(1,2,3,4,5,6,7,8,9,10), f = factor(rep(c("Drug","Placebo"),5)) )
mdf
v f
1 1 Drug
2 2 Placebo
3 3 Drug
4 4 Placebo
...
If you want to look at your data interactively, you can subset using the subset
function: 如果要以交互方式查看数据,可以使用
subset
函数进行subset
化:
subset( mdf, f == "Drug", select=v )
If you are doing this programmatically, you should rather use 如果您以编程方式执行此操作,则应该使用
mdf[ mdf$f == "Drug", "v" ]
For the difference of the two have a look at: Why is `[` better than `subset`? 对于两者的区别,请看: 为什么`[`比`子集更好? .
。
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