如何从具有混合元素的列表中提取元素

时间:2012-09-30 14:32:19

标签: r list vector

我在R中有一个列表,其中包含以下元素:

[[812]]
[1] ""             "668"          "12345_s_at" "667"          "4.899777748" 
[6] "49.53333333"  "10.10930207"  "1.598228663"  "5.087437057" 

[[813]]
[1] ""            "376"         "6789_at"  "375"         "4.899655078"
[6] "136.3333333" "27.82508792" "2.20223398"  "5.087437057"

[[814]]
[1] ""             "19265"        "12351_s_at" "19264"        "4.897730912" 
[6] "889.3666667"  "181.5874908"  "1.846451572"  "5.087437057" 

我知道如果我想提取位置814的第三个元素,我可以使用list_elem[[814]][3]之类的东西访问它们。 我需要提取所有列表中的第三个元素,例如12345_s_at,并且我想将它们放在向量或列表中,以便稍后可以将它们的元素与另一个列表进行比较。以下是我的代码:

elem<-(c(listdata))
lp<-length(elem)
for (i in 1:lp)
{
    newlist<-c(listdata[[i]][3]) ###maybe to put in a vector
    print(newlist)
 }

当我打印结果时,我得到第三个元素,但是像这样:

  [1] "1417365_a_at"
  [1] "1416336_s_at"
  [1] "1416044_at"
  [1] "1451201_s_at"

因此我无法使用newlist[3]之类的索引遍历它们,因为它返回NA。我的错误在哪里?

3 个答案:

答案 0 :(得分:42)

如果要提取每个列表元素的第三个元素,可以执行以下操作:

List <- list(c(1:3), c(4:6), c(7:9))
lapply(List, '[[', 3)  # This returns a list with only the third element
unlist(lapply(List, '[[', 3)) # This returns a vector with the third element

使用您的示例并考虑@GSee评论,您可以执行以下操作:

yourList <- list(c("","668","12345_s_at","667", "4.899777748","49.53333333",
       "10.10930207", "1.598228663","5.087437057"),
     c("","376", "6789_at",  "375",  "4.899655078","136.3333333",
       "27.82508792", "2.20223398",  "5.087437057"),
     c("", "19265", "12351_s_at", "19264", "4.897730912",
       "889.3666667", "181.5874908","1.846451572","5.087437057" ))

sapply(yourList, '[[', 3)
[1] "12345_s_at" "6789_at"    "12351_s_at"

下次您可以使用dput在数据集的一部分上提供一些数据,以便我们轻松地重现您的问题。

答案 1 :(得分:10)

使用purrr,您可以提取元素并确保数据类型的一致性:

library(purrr)

listdata <- list(c("","668","12345_s_at","667", "4.899777748","49.53333333",
       "10.10930207", "1.598228663","5.087437057"),
     c("","376", "6789_at",  "375",  "4.899655078","136.3333333",
       "27.82508792", "2.20223398",  "5.087437057"),
     c("", "19265", "12351_s_at", "19264", "4.897730912",
       "889.3666667", "181.5874908","1.846451572","5.087437057" ))

map_chr(listdata, 3)
## [1] "12345_s_at" "6789_at"    "12351_s_at"

还有其他map_函数可以强制执行类型一致性,还有map_df()可以最终帮助结束do.call(rbind, …)疯狂。

答案 2 :(得分:1)

如果你想使用你在问题中输入的代码,下面是修复:

listdata <- list(c("","668","12345_s_at","667", "4.899777748","49.53333333",
       "10.10930207", "1.598228663","5.087437057"),
     c("","376", "6789_at",  "375",  "4.899655078","136.3333333",
       "27.82508792", "2.20223398",  "5.087437057"),
     c("", "19265", "12351_s_at", "19264", "4.897730912",
       "889.3666667", "181.5874908","1.846451572","5.087437057" ))

v <- character() #creates empty character vector
list_len <- length(listdata)
for(i in 1:list_len)
    v <- c(v, listdata[[i]][3]) #fills the vector with list elements (not efficient, but works fine)

print(v)
[1] "12345_s_at" "6789_at"    "12351_s_at"
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