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r - 如何根据方向制作具有不同颜色段的(ggplot)线图

转载 作者:行者123 更新时间:2023-12-04 10:50:57 27 4
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根据 Shanes 优秀 solution另一个问题,我现在意识到我不知道该怎么做。

我最初的方法是使用融化数据(再次感谢 shane):

dm1 <- melt(d[,c("Type","I.alt","idx06","idx07","idx08")], id=c("Type","I.alt"))
dm2 <- melt(d[,c("Type","I.alt","farve1","farve2")], id=c("Type","I.alt"))
colnames(dm2) <- c("Type", "I.alt", "variable2", "value2")
dm <- merge(dm1, dm2)

然后制作情节:
ggplot(dm, aes(x=variable,y=value,group=Type,label=Type,size=I.alt))+
geom_line(aes(col=value2))+
geom_text(data=subset(dm, variable=="idx08"),hjust=-0.2, size=2.5)+
theme_bw()+
scale_x_discrete(expand=c(0,1))+
opts(legend.position="none")+
scale_colour_manual(values=c("green","red"))

但它不起作用(所有“向上”的单个线段都应该是红色的,所有“向下”的都应该是绿色的):

BTW:does the png device insist on geom_point? http://wana.dk/wp-content/uploads/2009/10/damn.png

(额外问题 1:我如何使用 expand 来仅向右扩展?(我的标签 ' 所在的位置。))

(额外问题 2:png 和 pdf 设备都显示如上 - 即带有 geom_points - 这不会发生在我的屏幕上)

这是我的数据:
d <- structure(list(Type = structure(c(8L, 21L, 23L, 20L, 6L, 14L, 
3L, 24L, 2L, 28L, 32L, 22L, 15L, 29L, 1L, 17L, 18L, 33L, 25L,
13L, 30L, 11L, 26L, 9L, 12L, 4L, 5L, 27L, 16L, 19L, 10L, 31L,
7L), .Label = c("Alvorligere vold", "Andre strafferetlige særlove",
"Andre tyverier", "Bedrageri", "Brandstiftelse", "Butikstyverier m.v.",
"Dokumentfalsk", "Færdselslovovertræd. i øvrigt", "Færdselsuheld med spiritus",
"Falsk forklaring i øvrigt", "Forbr. mod off. myndighed m.v.",
"Freds- og ærekrænkelser", "Hæleri", "Hærværk", "Indbrud i bank, forretn. m.v.",
"Indbrud i fritidshuse, garager mv", "Indbrud i villaer, lejligheder mv",
"Love vedr. forsvaret og lign.", "Love vedr. spil, bev., næring",
"Lov om euforiserende stoffer", "Mangler ved køretøj", "Røveri",
"Simpel vold", "Spiritus- og promillekørsel", "Trusler", "Tyv./brugstyv. af andet",
"Tyv./brugstyv. af cykel", "Tyv./brugstyv. af indr. køretøj",
"Tyv/brugstyv. af knallert", "Tyveri fra bil, båd m.v.", "Ulovlig omgang med hittegods",
"Våbenloven", "Vold o.l. mod off. myndighed"), class = "factor"),
I.alt = c(16137L, 9519L, 5930L, 5502L, 4887L, 3582L, 3101L,
1738L, 1660L, 1649L, 1551L, 1412L, 1338L, 1164L, 1154L, 1057L,
931L, 907L, 857L, 724L, 681L, 644L, 641L, 505L, 450L, 419L,
405L, 328L, 324L, 324L, 320L, 281L, 262L), idx06 = c(1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), idx07 = c(0.972675591417568,
0.766866371450899, 0.931743805516597, 0.813047711781889,
0.88728323699422, 0.96420233463035, 0.855743544078362, 1.03710247349823,
0.751470588235294, 0.90443686006826, 0.808403361344538, 0.902834008097166,
0.718181818181818, 0.904555314533623, 1.02717391304348, 0.68957345971564,
1.10324483775811, 0.93030303030303, 0.805309734513274, 0.843003412969283,
0.74914089347079, 0.824786324786325, 1.04060913705584, 1.09150326797386,
0.977941176470588, 0.892405063291139, 0.966666666666667,
0.828125, 0.696, 0.813559322033898, 0.697841726618705, 0.88235294117647,
0.62280701754386), idx08 = c(0.986612873647533, 0.712685595207085,
0.840579710144927, 0.865628042843233, 0.93757225433526, 0.823346303501945,
0.905609973285841, 1.03356890459364, 0.689705882352941, 0.909556313993174,
0.798319327731092, 0.955465587044534, 0.714545454545455,
0.620390455531453, 1.10869565217391, 0.815165876777251, 0.64306784660767,
0.818181818181818, 0.722713864306785, 0.627986348122867,
0.59106529209622, 0.927350427350427, 1.21319796954315, 1.20915032679739,
1.33088235294118, 0.759493670886076, 1.40833333333333, 0.734375,
0.896, 0.932203389830508, 0.60431654676259, 0.872549019607843,
0.675438596491228), farve1 = c("green", "green", "green",
"green", "green", "green", "green", "red", "green", "green",
"green", "green", "green", "green", "red", "green", "red",
"green", "green", "green", "green", "green", "red", "red",
"green", "green", "green", "green", "green", "green", "green",
"green", "green"), farve2 = c("red", "green", "green", "red",
"red", "green", "red", "green", "green", "red", "green",
"red", "green", "green", "red", "red", "green", "green",
"green", "green", "green", "red", "red", "red", "red", "green",
"red", "green", "red", "red", "green", "green", "red")), .Names = c("Type",
"I.alt", "idx06", "idx07", "idx08", "farve1", "farve2"), class = "data.frame", row.names = c(NA, -33L))

最佳答案

您的合并无效,因为您只有两个颜色变量,但只有三个数据值。添加第三个颜色变量作为填充似乎可以解决问题。 geom_line 从前一个数据点的值中获取它的颜色,因此不使用“value2”的最后一个值。

d$farve3<-NA
dm1 <- melt(d[,c("Type","I.alt","idx06","idx07","idx08")], id=c("Type","I.alt"))
dm2 <- melt(d[,c("Type","I.alt","farve1","farve2","farve3")], id=c("Type","I.alt"))
colnames(dm2) <- c("Type", "I.alt", "variable2", "value2")
dm<-cbind(dm1,dm2)
ggplot(dm, aes(x=variable,y=value,group=Type,label=Type,size=I.alt))+
geom_line(aes(col=value2))+
geom_text(data=subset(dm, variable=="idx08"),hjust=-0.2, size=2.5)+
theme_bw()+
scale_x_discrete(expand=c(0,1))+
opts(legend.position="none")+
scale_colour_manual(values=c("green","red"))

关于r - 如何根据方向制作具有不同颜色段的(ggplot)线图,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/1545591/

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