[英]Colouring points of a plot in R
I'm trying to colour certain points of a scatter plot in R using logical arguments. 我正在尝试使用逻辑参数为R中的散点图的某些点着色。 My data is a function of sex( M/F ) and faculty (A/M/S/E).
我的数据是性别(M / F)和教职人员(A / M / S / E)的函数。 I want to colour each faculty, say green, red, blue, black, and then have the females showing as outline only, with a white center.
我想给每个系上色,比如说绿色,红色,蓝色,黑色,然后让雌性只显示轮廓,并以白色为中心。
plot(year, logit.prop, type="n", xlab="Year of graduation", ylab="Logit proportion of survivors", ylim=c(-1,3))
points(year[faculty=="M"], logit.prop[faculty=="M"], pch=21,
points(year[faculty=="A"], logit.prop[faculty=="A"], pch=21, bg="red", col="red")
This is a section of the code i'm currently using, is there a way to tell R to colour points where the x axis value (thats year here) is both female and A? 这是我当前正在使用的代码的一部分,是否有办法告诉R标记x轴值(此处为年份)既是女性又是A的色点?
As the @mr.joshuagordon said, col
and other arguments to points
can take vectors. 正如@ mr.joshuagordon所说,
col
和其他points
参数可以采用向量。 Since you didn't provide data, here's something: 由于您没有提供数据,因此请注意以下几点:
df <- data.frame(x = rep(1:4, each = 2), y = rep(1:2, times = 4), faculty = rep(c("A", "M", "S", "E"), each = 2), gender = rep(c("M","F"), times = 4))
df
# x y faculty gender
# 1 1 1 A M
# 2 1 2 A F
# 3 2 1 M M
# 4 2 2 M F
# 5 3 1 S M
# 6 3 2 S F
# 7 4 1 E M
# 8 4 2 E F
plot(y ~ x, data = df, pch = ifelse(gender == "M", 16, 21), col = factor(faculty))
text(y + 0.5 ~ x, data = df, labels = faculty)
In this case, factor(faculty)
worked because factors are internally integers counting from 1 on up. 在这种情况下,
factor(faculty)
起作用了,因为factor是内部整数,从1开始向上计数。 You can see what colors are set for each number with: 您可以使用以下命令查看为每个数字设置的颜色:
palette()
# [1] "black" "red" "green3" "blue" "cyan" "magenta" "yellow"
# [8] "gray"
If you want different colors, you can either use conditionals (such as ifelse
) on faculty
itself, or you can just define the palette colors (see ?palette
). 如果您想要不同的颜色,则可以在
faculty
本身上使用条件(例如ifelse
),也可以仅定义调色板的颜色(请参阅?palette
)。
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