使用dataframe按键重命名列表元素
我有一个如下列表:使用dataframe按键重命名列表元素,r,list,dataframe,key,names,R,List,Dataframe,Key,Names,我有一个如下列表: $fec9 [1] "yes" $`39c1` [1] "no" $d387 [1] "yes" $`0065` [1] "yes" 以及具有与列表元素匹配的键的数据帧,如下所示: dataframe <- data.frame(key = c('39c1', 'fec9', 'p731' '0065', 'd387'), label
$fec9
[1] "yes"
$`39c1`
[1] "no"
$d387
[1] "yes"
$`0065`
[1] "yes"
以及具有与列表元素匹配的键的数据帧,如下所示:
dataframe <- data.frame(key = c('39c1', 'fec9', 'p731' '0065', 'd387'),
label = c('trash', 'wash car', 'cook dinner', 'mow lawn', 'vacuum'))
dataframe假设data.frame的列是字符
,然后我们得到'list'和'key'的名称
的元素的相交
并使用该元素为列表
值分配相应的'label'
nm1 <- intersect(names(list), dataframe$key)
list[nm1] <- dataframe$label[dataframe$key %in% nm1]
nm1我希望您正在寻找:
#method 1
#get common key from dataframe
df <- df[df$key %in% names(list), ]
list <- list[df$key] #getting the same order as of dataframe
names(list) <- df$label
#method 2
#if you want to preserve the order of labels:
df <- df[df$key %in% names(list), ]
row.names(df) <- df$key
names(list) <- df[names(list), ]$label
下面是一个使用merge
+stack
+setNames
with(
merge(stack(lst), df, by.x = "ind", by.y = "key"),
setNames(as.list(values), label)
)
给
$`mow lawn`
[1] "yes"
$trash
[1] "no"
$vacuum
[1] "yes"
$`wash car`
[1] "yes"
数据
list <- list(fec9 = 'yes', `39c1` = 'no', 'd387' = 'yes', `0065` = 'yes')
df <- data.frame(key = c('39c1', 'fec9', 'p731', '0065', 'd387'),
label = c('trash', 'wash car', 'cook dinner', 'mow lawn', 'vacuum'), stringsAsFactors = FALSE)
> dput(lst)
list(fec9 = "yes", `39c1` = "no", d387 = "yes", `0065` = "yes")
> dput(df)
structure(list(key = c("39c1", "fec9", "p731", "0065", "d387"
), label = c("trash", "wash car", "cook dinner", "mow lawn",
"vacuum")), class = "data.frame", row.names = c(NA, -5L))
with(
merge(stack(lst), df, by.x = "ind", by.y = "key"),
setNames(as.list(values), label)
)
$`mow lawn`
[1] "yes"
$trash
[1] "no"
$vacuum
[1] "yes"
$`wash car`
[1] "yes"
> dput(lst)
list(fec9 = "yes", `39c1` = "no", d387 = "yes", `0065` = "yes")
> dput(df)
structure(list(key = c("39c1", "fec9", "p731", "0065", "d387"
), label = c("trash", "wash car", "cook dinner", "mow lawn",
"vacuum")), class = "data.frame", row.names = c(NA, -5L))