英文:
Prevent the list number to appear in column names after do.call("cbind.data.frame", my_list)
问题
我经常在使用lapply()后使用do.call("cbind.data.frame", my_list)，通常情况下没有问题。但出现以下列表时，绑定后的列名会不同，列表编号会出现在名称之前。
我的列表类似于这样：
dput(my_list)list(`1` = structure(list(`Pulmonary_embolism~f.20002.0` = NA,`Pulmonary_embolism~f.20002.1` = NA, `Pulmonary_embolism~f.20002.2` = NA,`Pulmonary_embolism~f.20002.3` = NA, `Pulmonary_embolism~f.20002.all` = NA), row.names = "1", class = "data.frame"),`2` = structure(list(`Pulmonary_embolism~f.6152.0` = NA,`Pulmonary_embolism~f.6152.1` = NA, `Pulmonary_embolism~f.6152.2` = NA,`Pulmonary_embolism~f.6152.3` = NA, `Pulmonary_embolism~f.6152.all` = NA), row.names = "1", class = "data.frame"))
但在执行do.call("cbind.data.frame", my_list)之后，变量发生了变化：
names(do.call("cbind.data.frame", my_list))[1] "1.Pulmonary_embolism~f.20002.0" "1.Pulmonary_embolism~f.20002.1" "1.Pulmonary_embolism~f.20002.2" "1.Pulmonary_embolism~f.20002.3" "1.Pulmonary_embolism~f.20002.all"[6] "2.Pulmonary_embolism~f.6152.0" "2.Pulmonary_embolism~f.6152.1" "2.Pulmonary_embolism~f.6152.2" "2.Pulmonary_embolism~f.6152.3" "2.Pulmonary_embolism~f.6152.all"
如何防止列表编号成为列名的一部分？
英文:
I often use do.call("cbind.data.frame", my_list) after a lapply() call and usually I face no problems. For some reason in the following list the column names are different after binding them; the list number preceeds the names.
My list is something like this:
dput(my_list)list(`1` = structure(list(`Pulmonary_embolism~f.20002.0` = NA,`Pulmonary_embolism~f.20002.1` = NA, `Pulmonary_embolism~f.20002.2` = NA,`Pulmonary_embolism~f.20002.3` = NA, `Pulmonary_embolism~f.20002.all` = NA), row.names = "1", class = "data.frame"),`2` = structure(list(`Pulmonary_embolism~f.6152.0` = NA,`Pulmonary_embolism~f.6152.1` = NA, `Pulmonary_embolism~f.6152.2` = NA,`Pulmonary_embolism~f.6152.3` = NA, `Pulmonary_embolism~f.6152.all` = NA), row.names = "1", class = "data.frame"))
But after do.call("cbind.data.frame", my_list) the variables change:
names(do.call("cbind.data.frame", my_list))[1] "1.Pulmonary_embolism~f.20002.0" "1.Pulmonary_embolism~f.20002.1" "1.Pulmonary_embolism~f.20002.2" "1.Pulmonary_embolism~f.20002.3" "1.Pulmonary_embolism~f.20002.all"[6] "2.Pulmonary_embolism~f.6152.0" "2.Pulmonary_embolism~f.6152.1" "2.Pulmonary_embolism~f.6152.2" "2.Pulmonary_embolism~f.6152.3" "2.Pulmonary_embolism~f.6152.all"
How to prevent the list number beeing part of the column name?
答案1
得分: 1
首先，您可以使用 lapply 和 unlist 提取列名，确保使用 use.names=FALSE 选项来移除列名中的数据框名称。之后，您可以将这些列名应用到 do.call 的输出中，如下所示：
your_names = unlist(lapply(my_list, function(x) colnames(x)), use.names = FALSE)df = do.call("cbind.data.frame", my_list)names(df) = your_namesdf#> Pulmonary_embolism~f.20002.0 Pulmonary_embolism~f.20002.1#> 1 NA NA#> Pulmonary_embolism~f.20002.2 Pulmonary_embolism~f.20002.3#> 1 NA NA#> Pulmonary_embolism~f.20002.all Pulmonary_embolism~f.6152.0#> 1 NA NA#> Pulmonary_embolism~f.6152.1 Pulmonary_embolism~f.6152.2#> 1 NA NA#> Pulmonary_embolism~f.6152.3 Pulmonary_embolism~f.6152.all#> 1 NA NA
另一种选择是使用 dplyr 中的 bind_cols 函数，以避免列名中包含数字，如下所示：
library(dplyr)bind_cols(my_list)#> Pulmonary_embolism~f.20002.0 Pulmonary_embolism~f.20002.1#> 1 NA NA#> Pulmonary_embolism~f.20002.2 Pulmonary_embolism~f.20002.3#> 1 NA NA#> Pulmonary_embolism~f.20002.all Pulmonary_embolism~f.6152.0#> 1 NA NA#> Pulmonary_embolism~f.6152.1 Pulmonary_embolism~f.6152.2#> 1 NA NA#> Pulmonary_embolism~f.6152.3 Pulmonary_embolism~f.6152.all#> 1 NA NA
创建于 2023-06-29，使用 reprex v2.0.2
英文:
First you could extract the column names using lapply with unlist and make sure you use use.names=FALSE to remove the names of the dataframes in the names of the column. After that you can use these names to your do.call output like this:
your_names = unlist(lapply(my_list, \(x) colnames(x)), use.names = FALSE)df = do.call("cbind.data.frame", my_list)names(df) = your_namesdf#> Pulmonary_embolism~f.20002.0 Pulmonary_embolism~f.20002.1#> 1 NA NA#> Pulmonary_embolism~f.20002.2 Pulmonary_embolism~f.20002.3#> 1 NA NA#> Pulmonary_embolism~f.20002.all Pulmonary_embolism~f.6152.0#> 1 NA NA#> Pulmonary_embolism~f.6152.1 Pulmonary_embolism~f.6152.2#> 1 NA NA#> Pulmonary_embolism~f.6152.3 Pulmonary_embolism~f.6152.all#> 1 NA NA
Another option could be using bind_cols from dplyr to not have the numbers in the names like this:
library(dplyr)bind_cols(my_list)#> Pulmonary_embolism~f.20002.0 Pulmonary_embolism~f.20002.1#> 1 NA NA#> Pulmonary_embolism~f.20002.2 Pulmonary_embolism~f.20002.3#> 1 NA NA#> Pulmonary_embolism~f.20002.all Pulmonary_embolism~f.6152.0#> 1 NA NA#> Pulmonary_embolism~f.6152.1 Pulmonary_embolism~f.6152.2#> 1 NA NA#> Pulmonary_embolism~f.6152.3 Pulmonary_embolism~f.6152.all#> 1 NA NA
<sup>Created on 2023-06-29 with reprex v2.0.2</sup>
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