Question

我有一个df：

head(hej3)

  Year          variable  N   Sum      Mean        sd   Variance Median Min  Max
1 1901     Delägare.män. 85 18089 212.81176 365.39168 133511.083  110.0   5 2771
2 1901 Delägare.kvinnor. 48  3509  73.10417  97.84209   9573.074   34.5   1  414
3 1902     Delägare.män. 92 19783 215.03261 363.63529 132230.625  111.5   2 2827
4 1902 Delägare.kvinnor. 53  3872  73.05660  94.12827   8860.131   40.0   1  408
5 1903     Delägare.män. 99 21123 213.36364 366.58411 134383.907  109.0   2 2994
6 1903 Delägare.kvinnor. 55  4201  76.38182  93.85006   8807.833   40.0   1  390

dput(hej3)

structure(list(Year = c(1901L, 1901L, 1902L, 1902L, 1903L, 1903L, 
1904L, 1904L, 1905L, 1905L, 1906L, 1906L, 1907L, 1907L, 1908L, 
1908L, 1909L, 1909L, 1910L, 1910L, 1911L, 1911L, 1912L, 1912L, 
1915L, 1915L, 1921L, 1921L, 1924L, 1924L, 1927L, 1927L, 1930L, 
1930L), variable = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 
1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L), .Label = c("Delägare.män.", 
"Delägare.kvinnor."), class = "factor"), N = c(85, 48, 92, 53, 
99, 55, 112, 63, 116, 69, 126, 76, 130, 78, 130, 80, 129, 83, 
125, 81, 118, 77, 97, 72, 50, 41, 42, 34, 42, 33, 26, 20, 29, 
29), Sum = c(18089, 3509, 19783, 3872, 21123, 4201, 23686, 5087, 
26751, 5652, 28198, 6493, 31638, 6934, 32611, 7194, 36133, 7025, 
30138, 6884, 26935, 6900, 20333, 8021, 18929, 5619, 11157, 4332, 
10778, 4437, 7974, 3416, 9270, 3793), Mean = c(212.811764705882, 
73.1041666666667, 215.032608695652, 73.0566037735849, 213.363636363636, 
76.3818181818182, 211.482142857143, 80.7460317460317, 230.612068965517, 
81.9130434782609, 223.793650793651, 85.4342105263158, 243.369230769231, 
88.8974358974359, 250.853846153846, 89.925, 280.100775193798, 
84.6385542168675, 241.104, 84.9876543209877, 228.262711864407, 
89.6103896103896, 209.618556701031, 111.402777777778, 378.58, 
137.048780487805, 265.642857142857, 127.411764705882, 256.619047619048, 
134.454545454545, 306.692307692308, 170.8, 319.655172413793, 
130.793103448276), sd = c(365.391684625249, 97.8420871855394, 
363.635291602196, 94.1282707255493, 366.5841066326, 93.8500559223754, 
373.650556559185, 106.929577104772, 405.688052605677, 109.41727188241, 
421.942750950132, 110.801123403007, 462.951922738037, 115.87931358968, 
502.602700547356, 117.741378786224, 642.043293966629, 114.535815924939, 
459.068496259615, 114.82317860815, 360.246791665663, 119.967995276389, 
293.702281347504, 224.695704072853, 460.551137890511, 162.282154166672, 
231.68690199813, 139.634830604701, 226.30617641151, 143.124310240498, 
343.058102277823, 181.389548819806, 410.53721563181, 192.111645239046
), Variance = c(133511.083193277, 9573.0740248227, 132230.625298614, 
8860.13134978229, 134383.907235622, 8807.832996633, 139614.738416988, 
11433.9344598054, 164582.796026986, 11972.1393861893, 178035.685079365, 
12276.8889473684, 214324.482766846, 13428.0153180153, 252609.474597496, 
13863.032278481, 412219.591327519, 13118.4531295915, 210743.884258065, 
13184.362345679, 129777.750905403, 14392.3198906357, 86261.0300687285, 
50488.159428795, 212107.350612245, 26335.4975609756, 53678.8205574913, 
19497.8859180036, 51214.4854819977, 20484.5681818182, 117688.861538462, 
32902.1684210526, 168540.805418719, 36906.8842364532), Median = c(110, 
34.5, 111.5, 40, 109, 40, 112, 47, 109.5, 34, 111.5, 35, 120.5, 
41.5, 124.5, 46.5, 125, 44, 124, 44, 121, 44, 112, 42.5, 251, 
85, 199.5, 93.5, 186, 88, 206, 111, 185, 50), Min = c(5, 1, 2, 
1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 
19, 1, 19, 1, 19, 1, 49, 5, 0, 0), Max = c(2771, 414, 2827, 408, 
2994, 390, 3196, 506, 3421, 524, 3680, 553, 3952, 570, 4271, 
581, 4585, 601, 3898, 602, 2603, 592, 1951, 1699, 2269, 675, 
1151, 576, 1122, 565, 1680, 652, 2086, 809)), .Names = c("Year", 
"variable", "N", "Sum", "Mean", "sd", "Variance", "Median", "Min", 
"Max"), row.names = c(NA, -34L), class = "data.frame")

我制作了一个情节：

theplot<- ggplot(subset(hej3,variable=="Delägare.män."), aes(x = Year)) + 

geom_line(aes(y = Mean, color = "Medelvärde"), 
size = 1.5, linetype = 1, alpha = 1) + 

geom_ribbon(aes(ymax = Max, 
ymin = Min, fill = "Delägare Män Max/Min"), linetype = 3, 
alpha = 0.4) + 

geom_ribbon(aes(ymax = Mean+sd, ymin = Mean-sd, fill = "Mean +- sd"), 
colour = "grey50", linetype = 3, alpha = 0.8)+

#geom_line(aes(y = Sum, 
#color = "Sum Delägare Män"), size = 0.9, linetype = 1, alpha = 1) + 

geom_line(aes(y = N, 
                color = "Antal Kassor"), size = 0.9, linetype = 2, alpha = 1)+

scale_y_continuous(breaks = seq(-500, 4800, by = 100), limits = c(-500, 4800), 
                   labels = seq(-500, 4800, by = 100))+ 
  scale_x_continuous(breaks=seq(1901,1930,2))+
labs(title = "Manliga Delägare i Yrkeskassor") +

  scale_color_manual("Variabler", breaks = c("Antal Kassor","Medelvärde"),  
                     values = c("Antal Kassor" = "black", "Medelvärde" = "#6E6E6E")) + 
 scale_fill_manual(" Ribbons", breaks = c("Delägare Män Max/Min", "Mean +- sd"), 
                    values = c(`Delägare Män Max/Min` = "grey50", `Mean +- sd` = "#4E4E4E")) + 
  theme(legend.direction = "horizontal", legend.position = "bottom", legend.key = element_blank(), 
        legend.background = element_rect(fill = "white", colour = "gray30")) + 
  guides(fill = guide_legend(keywidth = 0.9, keyheight = 1))

enter image description here

我有2 questions：

如何更改图例中的线型？我希望图例中的"Antal Kassor变量在图片中为虚线（linetype = 2）。
如何“放大”y轴的一部分？我想在y轴上放大-300 och 600之间的区域。

我知道这里有很多ggplot向导:)最好的问候！

Answer 1

要使用原始数据框，您应该更改为线条。同时调用geom_line()将linetype=放入aes()并将类型设置为变量名称。

 + geom_line(aes(y = Mean, color = "Medelvärde",linetype = "Medelvärde"), 
            size = 1.5, alpha = 1)  
 + geom_line(aes(y = N, 
                color = "Antal Kassor",linetype="Antal Kassor"), size = 0.9, alpha = 1)

然后，您应添加scale_linetype_manual()，其名称与scale_colour_manual()相同，并设置您需要的行类型。

+scale_linetype_manual("Variabler",values=c("Antal Kassor"=2,"Medelvärde"=1))

同样应guides()调整linetype和colours以更好地显示图例中的行。

+ guides(fill = guide_legend(keywidth = 1, keyheight = 1),
    linetype=guide_legend(keywidth = 3, keyheight = 1),
    colour=guide_legend(keywidth = 3, keyheight = 1))

enter image description here

以下是完整的代码：

theplot<- ggplot(subset(hej3,variable=="Delägare.män."), aes(x = Year)) + 

  geom_line(aes(y = Mean, color = "Medelvärde",linetype = "Medelvärde"), 
            size = 1.5, alpha = 1) + 

  geom_ribbon(aes(ymax = Max, 
                  ymin = Min, fill = "Delägare Män Max/Min"), linetype = 3, 
              alpha = 0.4) + 

  geom_ribbon(aes(ymax = Mean+sd, ymin = Mean-sd, fill = "Mean +- sd"), 
              colour = "grey50", linetype = 3, alpha = 0.8)+

  #geom_line(aes(y = Sum, 
  #color = "Sum Delägare Män"), size = 0.9, linetype = 1, alpha = 1) + 

  geom_line(aes(y = N, 
                color = "Antal Kassor",linetype="Antal Kassor"), size = 0.9, alpha = 1)+

  scale_y_continuous(breaks = seq(-500, 4800, by = 100), limits = c(-500, 4800), 
                     labels = seq(-500, 4800, by = 100))+ 
  scale_x_continuous(breaks=seq(1901,1930,2))+
  labs(title = "Manliga Delägare i Yrkeskassor") +

  scale_color_manual("Variabler", breaks = c("Antal Kassor","Medelvärde"),  
                     values = c("Antal Kassor" = "black", "Medelvärde" = "#6E6E6E")) + 
  scale_fill_manual(" Ribbons", breaks = c("Delägare Män Max/Min", "Mean +- sd"), 
                    values = c(`Delägare Män Max/Min` = "grey50", `Mean +- sd` = "#4E4E4E")) + 
  scale_linetype_manual("Variabler",values=c("Antal Kassor"=2,"Medelvärde"=1))+
  theme(legend.direction = "horizontal", legend.position = "bottom", legend.key = element_blank(), 
        legend.background = element_rect(fill = "white", colour = "gray30")) + 
  guides(fill = guide_legend(keywidth = 1, keyheight = 1), linetype=guide_legend(keywidth = 3, keyheight = 1),
         colour=guide_legend(keywidth = 3, keyheight = 1)) +
     coord_cartesian(ylim = c(-300, 600))

Answer 2

在这里，您希望更改变量的条件类型。因此，我们创建了一个新的数据集：

R> library(reshape2)
R> dd = melt(hej3, colnames(hej3)[c(1:2, 4, 6:10)])
R> dd = dd[dd$variable=="Delägare.män.",c(1, 9:10)]
R> head(dd, 4)
   Year variable value
1  1901        N    85
3  1902        N    92
5  1903        N    99
7  1904        N   112

然后我们删除你的两个geom_line函数调用并替换为：

+ geom_line(data=dd, aes(x=Year, y = value, linetype=variable), 
          size = 1.5,  alpha = 1) +

其中线型根据您的变量而变化。

放大您绘制的区域（help page）
```
+ coord_cartesian(ylim = c(-300, 600))
```

enter image description here

完整的ggplot2代码供参考：

ggplot(subset(hej3,variable=="Delägare.män."), aes(x = Year)) + 
geom_line(data=dd, aes(x=Year, y = value, linetype=variable), 
          size = 1.5,  alpha = 1) + 
geom_ribbon(aes(ymax = Max, 
                ymin = Min, fill = "Delägare Män Max/Min"), linetype = 3, 
            alpha = 0.4) + 
geom_ribbon(aes(ymax = Mean+sd, ymin = Mean-sd, fill = "Mean +- sd"), 
            colour = "grey50", linetype = 3, alpha = 0.8)+
scale_color_manual("Variabler", breaks = c("Antal Kassor","Medelvärde"),  
                   values = c("Antal Kassor" = "black", "Medelvärde" = "#6E6E6E")) + 
scale_fill_manual(" Ribbons", breaks = c("Delägare Män Max/Min", "Mean +- sd"), 
                  values = c(`Delägare Män Max/Min` = "grey50", `Mean +- sd` = "#4E4E4E")) + 
theme(legend.direction = "horizontal", legend.position = "bottom", legend.key = element_blank(), 
      legend.background = element_rect(fill = "white", colour = "gray30")) + 
guides(fill = guide_legend(keywidth = 0.9, keyheight = 1))    +
coord_cartesian(ylim = c(-300, 600))

更改ggplot图例中的线型

2 个答案: