如何在 R 中制作此箱线图？

Question

I am trying to make a boxplot graph in R with ggplot2 like the one seen in the example figures. In the "x" axis, the data of the boxplot would correspond in this case of NDVI of plant cover and in the "y" axis, the correlation values between the NDVI and another variable. So far, you can only create the boxplot graph that shows the NDVI values on the "y" axis. Thanks for your help.

Add sample of my data, LANDUSE contains 3 types of vegetation cover: WETL, SHRU and BARR. NDVI are the NDVI values for each cover and R2 the correlation of the NDVI values with other data (soil moisture), in total I only have three R2 data, each for the three types of plant cover.

 LANDUSE    NDVI    R2
1   WETL    0.41490  0.71
2   WETL    0.35825  0.71
3   WETL    0.48040  0.71
4   WETL    0.46865  0.71
5   WETL    0.40155  0.71
6   WETL    0.32255  0.71
7   WETL    0.29695  0.71
8   WETL    0.27215  0.71
9   WETL    0.27560  0.71
10  WETL    0.25590  0.71
11  WETL    0.26100  0.71
12  WETL    0.25795  0.71
13  WETL    0.28835  0.71
14  WETL    0.41735  0.71
15  WETL    0.44215  0.71
16  WETL    0.48855  0.71
17  WETL    0.39070  0.71
18  WETL    0.31940  0.71
19  WETL    0.27780  0.71
20  WETL    0.25895  0.71
21  WETL    0.29435  0.71
22  WETL    0.29510  0.71
23  WETL    0.27760  0.71
24  WETL    0.29510  0.71
25  WETL    0.36605  0.71
26  WETL    0.40170  0.71
27  WETL    0.47175  0.71
28  WETL    0.47125  0.71
29  WETL    0.38540  0.71
30  SHRB    0.40545  0.78
31  SHRB    0.35295  0.78
32  SHRB    0.44720  0.78
33  SHRB    0.39525  0.78
34  SHRB    0.33565  0.78
35  SHRB    0.26720  0.78
36  SHRB    0.24750  0.78
37  SHRB    0.22590  0.78
38  SHRB    0.22220  0.78
39  SHRB    0.20930  0.78
40  SHRB    0.21205  0.78
41  SHRB    0.22265  0.78
42  SHRB    0.26165  0.78
43  SHRB    0.40230  0.78
44  SHRB    0.42050  0.78
45  SHRB    0.42760  0.78
46  SHRB    0.32310  0.78
47  SHRB    0.27360  0.78
48  SHRB    0.23945  0.78
49  SHRB    0.23050  0.78
50  SHRB    0.23655  0.78
51  SHRB    0.22880  0.78
52  SHRB    0.21850  0.78
53  SHRB    0.24015  0.78
54  SHRB    0.29850  0.78
55  SHRB    0.35620  0.78
56  SHRB    0.43130  0.78
57  SHRB    0.41165  0.78
58  SHRB    0.31965  0.78
59  SHRB    0.25735  0.78
60  BARR    0.19040  0.54
61  BARR    0.18645  0.54
62  BARR    0.24925  0.54
63  BARR    0.24545  0.54
64  BARR    0.21630  0.54
65  BARR    0.18645  0.54
66  BARR    0.17610  0.54
67  BARR    0.16485  0.54
68  BARR    0.16450  0.54
69  BARR    0.15730  0.54
70  BARR    0.16140  0.54
71  BARR    0.14540  0.54
72  BARR    0.15485  0.54
73  BARR    0.21290  0.54
74  BARR    0.24940  0.54
75  BARR    0.26325  0.54
76  BARR    0.20705  0.54
77  BARR    0.17210  0.54
78  BARR    0.13090  0.54
79  BARR    0.13335  0.54
80  BARR    0.17345  0.54
81  BARR    0.17155  0.54
82  BARR    0.16610  0.54
83  BARR    0.19005  0.54
84  BARR    0.20255  0.54
85  BARR    0.19690  0.54
86  BARR    0.25600  0.54
87  BARR    0.24950  0.54
88  BARR    0.20705  0.54
89  BARR    0.17955  0.54
Showing 1 to 15 of 89 entries, 3 total columns

Answer 1

You can try this. I am not sure about your y var but I used NDVI :

library(ggplot2)

ggplot(df,aes(x=LANDUSE,y=NDVI,group=factor(R2)))+
  geom_boxplot()

Update

library(ggplot2)

ggplot(df,aes(x=LANDUSE,y=NDVI,fill=R2))+
    geom_boxplot()