我想一次排序/订购多个因子列(食物和组)。我希望所有非CRISPR都在最顶层,在食物专栏中我想在非CRISPR活动中定期跟随尼古丁。这是我的代码。如果我通过f1订购,我得到下面的结果,如果我订购f我得到所有常规跟随尼古丁。我怎样才能得到这两个?
GenoSDs1<- aggregate( Viability ~ Line+Food+Group, x, sd );
f=factor(GenoSDs1$Food)
f1<-factor(GenoSDs1$Group)
levels(f) = rev(levels(f))
levels(f1) = rev(levels(f1))
GenoSDs1[order(GenoSDs1$Food, as.character(f1), decreasing = TRUE), ]
GenoSDs1
Line Food Group
33 11m3m Nicotine NonCRISPR
34 13f2m Nicotine NonCRISPR
35 13f5f Nicotine NonCRISPR
36 13m5f Nicotine NonCRISPR
37 1f1f Nicotine NonCRISPR
38 2f4f Nicotine NonCRISPR
39 3m5f Nicotine NonCRISPR
40 7f4m Nicotine NonCRISPR
41 11m3m Regular NonCRISPR
42 13f2m Regular NonCRISPR
43 13f5f Regular NonCRISPR
44 13m5f Regular NonCRISPR
45 1f1f Regular NonCRISPR
46 2f4f Regular NonCRISPR
47 3m5f Regular NonCRISPR
1 13f3f Nicotine CRISPR
2 13m2m Nicotine CRISPR
3 13m3f Nicotine CRISPR
4 13m4m Nicotine CRISPR
6 13f3f Regular CRISPR
7 13m2m Regular CRISPR
这就是我想要的。
Line Food Group
41 11m3m Regular NonCRISPR
42 13f2m Regular NonCRISPR
43 13f5f Regular NonCRISPR
44 13m5f Regular NonCRISPR
45 1f1f Regular NonCRISPR
46 2f4f Regular NonCRISPR
47 3m5f Regular NonCRISPR
48 7f4m Regular NonCRISPR
33 11m3m Nicotine NonCRISPR
34 13f2m Nicotine NonCRISPR
35 13f5f Nicotine NonCRISPR
36 13m5f Nicotine NonCRISPR
37 1f1f Nicotine NonCRISPR
38 2f4f Nicotine NonCRISPR
39 3m5f Nicotine NonCRISPR
40 7f4m Nicotine NonCRISPR
6 13f3f Regular CRISPR
7 13m2m Regular CRISPR
1 13f3f Nicotine CRISPR
2 13m2m Nicotine CRISPR
3 13m3f Nicotine CRISPR
4 13m4m Nicotine CRISPR
答案 0 :(得分:0)
怎么样:
GenoSDs1[with(GenoSDs1,order(-Group,-Food)),]
答案 1 :(得分:0)
OpenCV Error: Assertion failed (data.dims <= 2 && type == CV_32F && K > 0)
在Base R
tbl <- read.table(text = "
Line Food Group
33 11m3m Nicotine NonCRISPR
34 13f2m Nicotine NonCRISPR
35 13f5f Nicotine NonCRISPR
36 13m5f Nicotine NonCRISPR
37 1f1f Nicotine NonCRISPR
38 2f4f Nicotine NonCRISPR
39 3m5f Nicotine NonCRISPR
40 7f4m Nicotine NonCRISPR
41 11m3m Regular NonCRISPR
42 13f2m Regular NonCRISPR
43 13f5f Regular NonCRISPR
44 13m5f Regular NonCRISPR
45 1f1f Regular NonCRISPR
46 2f4f Regular NonCRISPR
47 3m5f Regular NonCRISPR
1 13f3f Nicotine CRISPR
2 13m2m Nicotine CRISPR
3 13m3f Nicotine CRISPR
4 13m4m Nicotine CRISPR
6 13f3f Regular CRISPR
7 13m2m Regular CRISPR
")
tbl$Food <- factor(trimws(tbl$Food), levels = c("Regular", "Nicotine"), ordered=TRUE)
tbl$Group <- factor(trimws(tbl$Group), levels = c("NonCRISPR", "CRISPR"), ordered=TRUE)
require(dplyr)
tbl %>% arrange (Group, Food, Line)
Line Food Group
1 11m3m Regular NonCRISPR
2 13f2m Regular NonCRISPR
3 13f5f Regular NonCRISPR
4 13m5f Regular NonCRISPR
5 1f1f Regular NonCRISPR
6 2f4f Regular NonCRISPR
7 3m5f Regular NonCRISPR
8 11m3m Nicotine NonCRISPR
9 13f2m Nicotine NonCRISPR
10 13f5f Nicotine NonCRISPR
11 13m5f Nicotine NonCRISPR
12 1f1f Nicotine NonCRISPR
13 2f4f Nicotine NonCRISPR
14 3m5f Nicotine NonCRISPR
15 7f4m Nicotine NonCRISPR
16 13f3f Regular CRISPR
17 13m2m Regular CRISPR
18 13f3f Nicotine CRISPR
19 13m2m Nicotine CRISPR
20 13m3f Nicotine CRISPR
21 13m4m Nicotine CRISPR