R S4类列表到数据帧
我参加了一个新的S4课程,四处寻找解决方案,但失败了:( 我有一个S4类列表,不确定它是否是嵌套列表,但我想将其更改为数据帧R S4类列表到数据帧,r,list,dataframe,s4,R,List,Dataframe,S4,我参加了一个新的S4课程,四处寻找解决方案,但失败了:( 我有一个S4类列表,不确定它是否是嵌套列表,但我想将其更改为数据帧 head(z) [[1]] An object of class "AgNode" Slot "center": x: 1515, y: 2258 Slot "name": [1] "hsa:4052" Slot "txtLabel": An object of class "AgTextLabel" Slot "labelText": [1] "hsa:4052"
head(z)
[[1]]
An object of class "AgNode"
Slot "center":
x: 1515, y: 2258
Slot "name":
[1] "hsa:4052"
Slot "txtLabel":
An object of class "AgTextLabel"
Slot "labelText":
[1] "hsa:4052"
Slot "labelLoc":
x: 0, y: 0
Slot "labelJust":
[1] "n"
Slot "labelWidth":
[1] 50
[[2]]
An object of class "AgNode"
Slot "center":
x: 1443, y: 2567
Slot "name":
[1] "hsa:1311"
Slot "txtLabel":
An object of class "AgTextLabel"
以此类推,我想从中心槽中提取X和Y值,从名称槽中提取名称,然后将这三个值放在一个数据框中。我该怎么做
see<-do.call(cbind, lapply(z, stack))
有人能帮我吗?如果你想要“一行”:
但我想在性能没有受到影响的情况下解释一下,因为我们最终是为人类编程的:
library(Rgraphviz)
library(purrr)
V <- letters[1:10]
M <- 1
g1 <- randomGraph(V, M, .2)
z <- agopen(g1,name="foo")
x <- AgNode(z)
map(x, getNodeCenter) %>%
map(getPoints) %>%
map(set_names, c("x", "y")) %>%
map_df(as.list)
## # A tibble: 10 × 2
## x y
## <int> <int>
## 1 73 348
## 2 73 243
## 3 145 348
## 4 217 348
## 5 289 348
## 6 27 137
## 7 82 32
## 8 361 348
## 9 433 348
## 10 505 348
如果您不想使用purrr
但愿意使用管道或:
do.call(rbind.data.frame, lapply(x, function(y) {
as.list(setNames(getPoints(getNodeCenter(y)), c("x", "y")))
}))
如果您不喜欢管道,或者:
do.call(rbind.data.frame, lapply(x, function(y) {
tmp <- getNodeCenter(y)
tmp <- getPoints(tmp)
tmp <- setNames(tmp, c("x", "y"))
as.list(tmp)
}))
do.call(rbind.data.frame,lappy(x,函数y){
tmp
library(magrittr)
lapply(x, getNodeCenter) %>%
lapply(getPoints) %>%
lapply(set_names, c("x", "y")) %>%
lapply(as.list) %>%
do.call(rbind.data.frame, .)
do.call(rbind.data.frame, lapply(x, function(y) {
as.list(setNames(getPoints(getNodeCenter(y)), c("x", "y")))
}))
do.call(rbind.data.frame, lapply(x, function(y) {
tmp <- getNodeCenter(y)
tmp <- getPoints(tmp)
tmp <- setNames(tmp, c("x", "y"))
as.list(tmp)
}))