这可能看起来相对简单,但在使用新的D3 chorddiag包时,我正在尝试将数据从数据帧转换为矩阵。在我使用circlize并依赖于使用数据帧功能之前。Chorddiag似乎只依赖于矩阵,所以我想知道如何在类型之间跳转。下面是示例:
library(circlize)
library(chorddiag)
from = c("A", "A", "A", "A", "B", "B", "C", "C", "D")
to = c("B", "C", "D", "J", "E", "F", "G", "H", "I")
value = c(5,8,2,5,5,6,7,8,11)
food = data.frame(from, to, value)
food
chordDiagram(food)
#now in chordiag how to transform into matrix like m?
m <- matrix(c(11975, 5871, 8916, 2868,
1951, 10048, 2060, 6171,
8010, 16145, 8090, 8045,
1013, 990, 940, 6907),
byrow = TRUE,
nrow = 4, ncol = 4)
groupnames <- c("black", "blonde", "brown", "red")
row.names(m) <- groupnames
colnames(m) <- groupnames
chorddiag(m)我如何改变食物以使其与m相似?我想可能像下面这样,但我不确定如何在其中添加名称。感谢你的帮助
matrix(data = food$value, nrow = length(food$from), ncol = length(food$to), byrow = TRUE
#,dimnames =
)发布于 2017-02-04 00:50:06
如您的示例:
> food_matrix <- matrix(data = food$value, nrow = length(food$from), ncol = length(food$to), byrow = TRUE)
> food_matrix
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,] 5 8 2 5 5 6 7 8 11
[2,] 5 8 2 5 5 6 7 8 11
[3,] 5 8 2 5 5 6 7 8 11
[4,] 5 8 2 5 5 6 7 8 11
[5,] 5 8 2 5 5 6 7 8 11
[6,] 5 8 2 5 5 6 7 8 11
[7,] 5 8 2 5 5 6 7 8 11
[8,] 5 8 2 5 5 6 7 8 11
[9,] 5 8 2 5 5 6 7 8 11现在,我们使用rownames()和colnames()来命名矩阵的行和列
> rownames(food_matrix) <- food$from
> colnames(food_matrix) <- food$to
> food_matrix
B C D J E F G H I
A 5 8 2 5 5 6 7 8 11
A 5 8 2 5 5 6 7 8 11
A 5 8 2 5 5 6 7 8 11
A 5 8 2 5 5 6 7 8 11
B 5 8 2 5 5 6 7 8 11
B 5 8 2 5 5 6 7 8 11
C 5 8 2 5 5 6 7 8 11
C 5 8 2 5 5 6 7 8 11
D 5 8 2 5 5 6 7 8 11`这就是你要找的输出吗?
https://stackoverflow.com/questions/42028891
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