在散点图中标记特定点
[英]Labeling specific points in scatterplot
问题描述
I have a scatterplot that shows how the size of a house affects the price.
我有一个散点图，显示房子的大小如何影响价格。 The red triangles in the plot are the 5% of the most recently built houses. plot 中的红色三角形是最近建造的房屋的 5%。 Code:代码：
y <- new_baltimore$AGE
quantile(y, 0.05) # the result is 4
k <- subset(new_baltimore, y<=4)
kk <- k$SQFT
price <- k$PRICE
age <- k$AGE
col = ifelse(new_baltimore$SQFT %in% kk, "red", "green")
pch = ifelse(new_baltimore$SQFT %in% kk, 25, 20)
plot(new_baltimore$SQFT, new_baltimore$PRICE, col=col, pch=pch, xlab="SQFT", ylab="PRICE")
I want to label only the red triangle points (most recently built houses) with their respective ages.我想 label 只有红色三角形点（最近建造的房屋）及其各自的年龄。
I have tried我努力了
1. 1.
text(new_baltimore$SQFT[kk], new_baltimore$PRICE[price], age, cex=0.4)
with(new_baltimore$SQFT %in% kk, text(new_baltimore$SQFT,new_baltimore$PRICE, labels = age))
I would like to post some pictures but unfortunately I'm a new member.我想发布一些照片，但不幸的是我是新成员。 I can imagine geom_text from ggplot2 would work, but I need to do this with base R.我可以想象来自 ggplot2 的 geom_text 会起作用，但我需要使用基础 R 来做到这一点。 Any help?有什么帮助吗？
Data:数据：
doob_struct <-
structure(
list(
new_baltimore.SQFT = c(
1.0451592,
2.6867559168,
2.8446910848,
2.4266274048,
2.0475830016,
3.6622378368,
2.0327185152,
2.378317824,
4.0988821248,
1.8469124352,
1.1222687232,
1.0210044096,
1.189158912,
2.7675815616,
1.328513472,
1.2746297088,
1.0999719936,
1.6778289024,
0.9959205888,
0.8324112384,
1.3359457152,
3.41418672,
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2.41547904,
1.337803776,
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2.1442021632,
2.2073762304,
1.449287424,
0.9290304,
2.118189312,
1.5570549504,
2.053157184,
1.3266554112,
1.4269906944,
1.48644864,
2.1404860416,
2.3170018176,
1.0981139328,
1.1965911552,
1.040514048,
1.6834030848,
3.55354128,
1.6425257472,
1.7670158208,
3.047219712,
1.4084100864,
2.041544304,
1.170578304,
2.1850795008,
1.6276612608,
4.4231137344,
1.909157472,
3.2999159808,
0.780385536,
1.2709135872,
1.3452360192,
1.189158912,
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1.8580608,
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2.41547904,
1.1166945408,
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1.635093504,
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0.891869184,
2.898574848,
2.452640256,
1.263481344,
2.5529755392,
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0.6466051584,
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1.1018300544,
1.1965911552,
1.1445654528,
0.6243084288,
0.9364626432,
1.449287424,
0.6243084288,
1.0702430208,
1.0925397504,
0.9513271296,
1.0702430208,
0.8621402112,
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1.449287424,
1.43999712,
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1.449287424,
1.2783458304,
0.9513271296,
0.5351215104,
0.9364626432,
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1.128771936,
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0.9513271296,
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0.780385536,
1.0145011968,
3.985540416,
0.83612736,
0.97548192,
0.9364626432,
1.170578304,
0.8324112384,
0.7971080832,
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1.003352832,
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1.3415198976,
1.1371332096,
1.226320128,
0.891869184,
1.4139842688,
2.2445374464,
0.9513271296,
0.9513271296,
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2.155350528,
1.6425257472,
2.257543872,
3.3389352576,
2.006705664,
1.0237915008,
1.95096384,
2.2222407168,
1.337803776,
2.60128512,
1.0628107776,
2.0382926976,
0.9513271296,
1.5663452544,
0.9215981568,
1.2486168576,
1.11483648,
1.3712488704,
0.8324112384,
1.0702430208,
0.8026822656,
0.7543726848,
1.0330818048,
1.0479462912,
0.9624754944,
1.0702430208,
1.588641984,
1.6276612608,
0.9968496192,
1.040514048,
1.189158912,
1.11483648,
3.8155278528,
1.189158912,
2.0773119744,
0.9810561024,
1.2486168576,
1.0237915008,
1.6703966592,
1.7540093952,
1.0925397504,
0.8695724544,
1.0702430208,
2.536252992,
2.1404860416,
1.6425257472,
1.2411846144,
1.077675264,
1.0702430208,
0.9271723392,
1.2040233984,
1.0340108352,
1.820899584,
1.0702430208,
1.1297009664,
0,
0.9884883456
),
new_baltimore.PRICE = c(
47,
113,
165,
104.3,
62.5,
70,
127.5,
64.5,
145,
63.5,
58.9,
65,
48,
3.5,
12.8,
17.5,
36,
41.9,
53.5,
24.5,
24.5,
55.5,
60,
51,
46,
46,
44,
54.9,
42.5,
44,
44.9,
37.9,
33,
43.9,
49.6,
52,
37.5,
50,
35.9,
42.9,
107,
112,
44.9,
55,
102,
35.5,
62.9,
39,
110,
8,
62,
85.9,
57,
110,
67.7,
89.5,
70,
74,
13,
48,
24,
53.5,
34.5,
53,
87.5,
33.5,
24,
9.6,
30,
41,
30,
38.9,
20.7,
49.9,
18.6,
39,
34,
16,
18.9,
15.2,
41.5,
53,
22,
24.9,
6.7,
32.5,
30,
59,
29.5,
26,
16.5,
39,
48.9,
33.5,
46,
54,
57.9,
37.9,
32,
31,
34,
29,
32.5,
51.9,
31,
41.8,
48,
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35,
46.5,
51.9,
35.4,
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35,
35,
36.5,
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40,
35,
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37,
23,
25.5,
39.5,
21.5,
9,
67.5,
13.4,
12.5,
28.5,
23,
33.5,
9,
11,
30.9,
31.65,
33,
33.4,
47,
40,
46,
45.5,
57,
29.9,
30,
34,
51,
64.5,
57.5,
85.5,
61,
38,
56.5,
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69,
56,
27.9,
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32.9,
22,
29.9,
39.9,
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31.5,
8.5,
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33,
57,
47,
43.5,
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68.5,
44.25,
61,
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44.5,
57,
35,
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64.5,
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50,
58,
58,
55,
43,
54,
39,
45,
42,
38.9,
43.215,
26.5,
30,
29.5
),
new_baltimore.AGE = c(
148L,
9L,
23L,
5L,
19L,
20L,
20L,
22L,
4L,
23L,
20L,
30L,
18L,
75L,
60L,
65L,
14L,
45L,
14L,
22L,
35L,
5L,
60L,
14L,
19L,
11L,
16L,
19L,
17L,
24L,
22L,
27L,
3L,
21L,
20L,
4L,
40L,
23L,
35L,
25L,
17L,
26L,
15L,
29L,
24L,
30L,
19L,
50L,
18L,
74L,
22L,
24L,
20L,
7L,
47L,
50L,
45L,
48L,
50L,
48L,
55L,
27L,
20L,
33L,
40L,
25L,
25L,
40L,
30L,
40L,
22L,
25L,
29L,
49L,
35L,
55L,
30L,
15L,
40L,
35L,
70L,
25L,
25L,
30L,
30L,
50L,
25L,
70L,
55L,
40L,
70L,
20L,
20L,
25L,
18L,
20L,
2L,
8L,
25L,
18L,
30L,
35L,
21L,
20L,
24L,
13L,
25L,
18L,
30L,
20L,
22L,
28L,
50L,
20L,
38L,
17L,
22L,
27L,
25L,
25L,
25L,
30L,
60L,
22L,
30L,
28L,
45L,
100L,
60L,
50L,
35L,
50L,
24L,
50L,
33L,
40L,
50L,
25L,
48L,
10L,
45L,
20L,
25L,
25L,
22L,
21L,
29L,
18L,
2L,
19L,
49L,
10L,
25L,
16L,
17L,
27L,
34L,
2L,
24L,
23L,
40L,
25L,
45L,
26L,
37L,
15L,
22L,
75L,
28L,
31L,
100L,
15L,
80L,
75L,
23L,
15L,
21L,
2L,
25L,
23L,
0L,
4L,
40L,
55L,
21L,
45L,
50L,
5L,
50L,
22L,
22L,
6L,
18L,
18L,
23L,
3L,
1L,
47L,
21L,
29L,
0L,
29L,
24L,
22L
)
),
class = "data.frame",
row.names = c(NA,-204L)
)
1 个解决方案
解决方案1
0 2022-07-01 17:44:54
There are a few ways you could do this.有几种方法可以做到这一点。 The simplest may be to create a subset to use in the text() call.最简单的可能是创建一个子集以在text()调用中使用。
I added the +.1 and + 1 so that the values weren't on top of the triangles.我添加了 +.1 和 + 1 以使这些值不在三角形的顶部。
new_baltimore$col = col
nb <- new_baltimore[new_baltimore$col == "red", ]
text(nb$SQFT + .1, nb$PRICE + 1, labels = nb$AGE, cex=0.4)
It's not really legible;它不是很清晰； here's a close-up, though.不过，这是一个特写镜头。
If I change the cex in the text to.6 & the make my arbitrary offset smaller it's a little better.如果我将文本中的cex更改为.6 并且使我的任意偏移量更小，它会更好一些。
plot(new_baltimore$SQFT, new_baltimore$PRICE,
col=col, pch=pch, xlab="SQFT", ylab="PRICE")
text(nb$SQFT + .05, nb$PRICE + 1, labels = nb$AGE, cex=0.6)
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