x 축의 순서 변경 ggplot2 패싯 랩

Question

이전에 비슷한 질문을했지만 질문에 문제가 생겼습니다. 여기에 완전히 재현 할 수있는 예가 있습니다. 데이터는 다음과 같습니다 :

Fact<-structure(list(Code = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 15L, 
15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
4L, 4L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 5L, 5L, 
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
5L, 5L, 5L, 5L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 
9L, 9L, 9L, 9L, 9L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 
13L, 13L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 12L, 12L, 
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 14L, 14L, 14L, 14L, 
14L, 14L, 14L, 14L, 14L, 14L, 14L, 16L, 16L, 16L, 16L, 16L, 16L, 
16L, 16L, 16L, 16L, 16L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 
18L, 18L, 18L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 
17L), .Label = c("i", "m", "R", "T", "TA", "TB", "TS", "TU", 
"U", "UJ", "UK", "UO", "UY", "UZ", "w", "X", "XHH", "XSW"), class  = "factor"), 
Initials = structure(c(7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 
7L, 7L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 9L, 9L, 
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 6L, 6L, 6L, 6L, 
6L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
4L, 4L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 9L, 
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 6L, 6L, 6L, 6L, 6L, 
6L, 6L, 6L, 6L, 6L, 6L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
10L, 10L, 10L, 10L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("AA", "FF", "HH", 
"II", "KJ", "KK", "LD", "LL", "TT", "WY"), class = "factor"), 
FactorName = structure(c(3L, 11L, 1L, 9L, 8L, 2L, 10L, 7L, 
5L, 6L, 4L, 9L, 10L, 11L, 2L, 1L, 8L, 7L, 3L, 6L, 5L, 4L, 
1L, 3L, 4L, 2L, 6L, 8L, 5L, 11L, 7L, 9L, 10L, 6L, 9L, 3L, 
8L, 7L, 5L, 4L, 2L, 1L, 10L, 11L, 2L, 3L, 4L, 5L, 6L, 7L, 
8L, 9L, 10L, 11L, 1L, 9L, 1L, 4L, 10L, 11L, 2L, 3L, 5L, 6L, 
7L, 8L, 9L, 7L, 1L, 4L, 8L, 6L, 5L, 3L, 10L, 2L, 11L, 11L, 
10L, 5L, 1L, 2L, 6L, 9L, 4L, 8L, 3L, 7L, 2L, 1L, 4L, 5L, 
3L, 8L, 10L, 11L, 7L, 6L, 9L, 6L, 10L, 11L, 5L, 4L, 9L, 1L, 
7L, 8L, 3L, 2L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 
11L, 3L, 2L, 6L, 5L, 4L, 1L, 11L, 8L, 10L, 7L, 9L, 9L, 2L, 
3L, 6L, 7L, 8L, 11L, 4L, 1L, 5L, 10L, 4L, 7L, 8L, 9L, 1L, 
2L, 5L, 6L, 10L, 11L, 3L, 11L, 10L, 8L, 3L, 6L, 7L, 9L, 5L, 
2L, 1L, 4L, 4L, 5L, 3L, 6L, 1L, 2L, 10L, 8L, 11L, 7L, 9L, 
9L, 10L, 11L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 6L, 3L, 4L, 
5L, 11L, 7L, 9L, 10L, 1L, 2L, 8L, 4L, 9L, 1L, 5L, 8L, 6L, 
10L, 11L, 2L, 3L, 7L), .Label = c("Exchange Rate Sensitivity", 
"Growth", "Investment Trusts", "Leverage", "Liquidity", "Market Sensitivity", 
"Medium-Term Momentum", "Short-Term Momentum", "Size", "Value", 
"Volatility"), class = "factor"), Rating = c(0.982, 0.471, 
0.532, 0.49, 0.791, 0.235, 0.0159, 0.425, 0.437, 0.642, 0.937, 
0.229, 0.715, 0.537, 0.881, 0.857, 0.687, 0.409, 0.363, 0.567, 
0.328, 0.645, 0.305, 0.826, 0.538, 0.381, 0.726, 0.0473, 
0.884, 0.847, 0.063, 0.278, 0.452, 0.473, 0.981, 0.4, 0.774, 
0.805, 0.982, 0.889, 0.281, 0.288, 0.765, 0.51, 0.784, 0.00634, 
0.293, 0.0331, 0.874, 0.0806, 0.253, 0.295, 0.11, 0.775, 
0.807, 0.164, 0.695, 0.792, 1, 0.57, 0.691, 0.432, 0.252, 
0.318, 0.287, 0.249, 0.997, 0.486, 0.794, 0.228, 0.0345, 
0.295, 0.342, 0.684, 0.346, 0.557, 0.929, 0.89, 0.356, 0.507, 
0.85, 0.353, 0.171, 0.968, 0.915, 0.564, 0.89, 0.00313, 0.39, 
0.274, 0.97, 0.213, 0.0792, 0.549, 0.916, 0.528, 0.248, 0.525, 
0.631, 0.27, 0.0294, 0.221, 0.627, 0.628, 0.666, 0.0401, 
0.784, 0.605, 0.66, 0.602, 0.094, 0.445, 0.389, 0.494, 0.104, 
0.612, 0.834, 0.182, 0.298, 0.464, 0.338, 0.269, 0.843, 0.755, 
0.238, 0.794, 0.266, 0.587, 0.653, 0.873, 0.354, 0.54, 0.451, 
0.863, 0.611, 0.00506, 0.767, 0.477, 0.56, 0.722, 0.125, 
0.667, 0.626, 0.139, 0.364, 0.943, 0.266, 0.223, 0.361, 0.473, 
0.624, 0.167, 0.449, 0.148, 0.334, 0.523, 0.666, 0.503, 0.287, 
0.193, 0.992, 0.468, 0.678, 0.235, 0.221, 0.566, 0.612, 0.00794, 
0.249, 0.329, 0.695, 0.714, 0.236, 0.69, 0.187, 0.721, 0.173, 
0.413, 0.833, 0.984, 0.604, 0.0594, 0.798, 0.684, 0.793, 
0.186, 0.728, 0.923, 0.911, 0.608, 0.634, 0.73, 0.361, 0.0534, 
0.251, 0.871, 0.948, 0.306, 0.483, 0.562, 0.205, 0.0798, 
0.0288, 0.618, 0.784, 0.0358, 0.949, 0.134, 0.141)), .Names = c("Code", 
"Initials", "FactorName", "Rating"), class = "data.frame", row.names = c(NA, 
-209L)) 

그리고 내 플롯의 코드입니다.

Exp<-ggplot(Fact)+ aes(x = Code, y = Rating, fill = Initials) + geom_col() 
Exp<- Exp+facet_wrap(~FactorName, ncol = 3, drop = TRUE) + theme(axis.text.x = element_text(angle = 90, vjust = 0.5)) + labs(y="Active Rating") + labs(x="")  
Exp 

이제 각 패싯의 x 축 순서는 알파벳순입니다. 대신 이니셜을 그룹화하여 각 요인 이름 플롯에 대해 막대 색상을 그룹화합니다. 즉 모든 빨간색은 서로 옆에, 파란색 옆에 다른 등 등 모든 도움을 주시면 대단히 감사하겠습니다!

Answer 1

당신은

library(tidyverse) 
as.tbl(Fact) %>% 
    arrange(Initials) %>% 
    mutate(Code2=factor(Code, levels=unique(Code))) %>% 
    ggplot(aes(x = Code2, y = Rating, fill = Initials)) + geom_col()+ 
     facet_wrap(~FactorName, ncol = 3, drop = TRUE) 

아이디어는, Initials 따라 배열 한 후 unique를 사용하여 dataframe의 선두로부터 accoring에 새로운 요소 수준을 만드는 것입니다을 시도 할 수 있습니다.