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如何在使用lattice和latticeExtra制作的绘图中添加图例？

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我使用格子和格子额外绘制五个不同区域的观察值和预测值 . 我使用xyplot绘制观察值，然后使用格子额外的as.layer函数来添加预测线 . 我想在图表中添加一个图例，但没有任何运气 .

以下是两个示例数据集以及用于绘图的代码 .

示例数据集一 . 我只包括两个方面 .

example1 <- 
structure(list(model_predict = c(10, 25, 95, 23, 56, 70, 56, 
45, 25, 50), Shell_Height = c(27, 33, 115, 25, 46, 50, 35, 35, 
23, 45), SAMS_region_2015 = structure(c(1L, 1L, 1L, 1L, 1L, 2L, 
2L, 2L, 2L, 2L), .Label = c("DMV", "LI"), class = "factor")), .Names = c("model_predict", 
"Shell_Height", "SAMS_region_2015"), row.names = c(NA, -10L), class = "data.frame")

示例数据集二 . 也只包括两个方面 .

example2 <-
structure(list(Meat_Weight = c(15, 27, 100, 15, 60, 75, 50, 37, 
28, 60), Shell_Height = c(25, 30, 110, 20, 45, 48, 35, 30, 25, 
50), SAMS_region_2015 = structure(c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 
2L, 2L, 2L), .Label = c("DMV", "LI"), class = "factor")), .Names = c("Meat_Weight", 
"Shell_Height", "SAMS_region_2015"), row.names = c(NA, -10L), class = "data.frame")

图形代码

library(lattice)
library(latticeExtra) 

#observed vs predicted values by SAMS region

foo<-xyplot(Meat_Weight~Shell_Height|SAMS_region_2015,data=example2,
        ylab="Meat Weight (g)",xlab="Shell Height (mm)",type="p",
            col="red",pch=3)

#add layer of observed values

foo <- foo + 
       as.layer(xyplot(model_predict~Shell_Height|SAMS_region_2015,
           type = "l", data = example1, col = "blue", lwd = 4, lty = 3))

我想为具有文本Observed和Predicted的图表添加图例，以及图表中用于不同变量的符号或线条和颜色 .

R Info sessionInfo（）R版本3.2.1（2015-06-18）平台：i386-w64-mingw32 / i386（32位）运行于：Windows 7 x64（build 7601）Service Pack 1

locale:
[1] LC_COLLATE=English_United States.1252 
[2] LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

attached base packages:
[1] grid      stats     graphics  grDevices utils     datasets 
[7] methods   base     

other attached packages:
 [1] latticeExtra_0.6-26 RColorBrewer_1.1-2  nlme_3.1-120       
 [4] MASS_7.3-40         xlsx_0.5.7          xlsxjars_0.6.1     
 [7] rJava_0.9-6         plyr_1.8.3          RODBC_1.3-12       
[10] lattice_0.20-31    

loaded via a namespace (and not attached):
[1] tools_3.2.1 Rcpp_0.11.6

任何帮助，将不胜感激 .

r legend lattice

2 回答

  • 5

    您只需将 key= 添加到两个 xyplot 调用之一即可

    xyplot(Meat_Weight~Shell_Height|SAMS_region_2015,data=example2,
    ylab="Meat Weight (g)",xlab="Shell Height (mm)",type="p",
    col="red",pch=3,
    key=list(columns=2, 
        text=list(lab=c("weight","predict")),
        points=list(pch=c(3,NA), col="red"), 
        lines=list(lty=c(0,3), lwd=4, col="blue"))) + 
as.layer(xyplot(model_predict~Shell_Height|SAMS_region_2015,
    type = "l", data = example1, col = "blue", lwd = 4, lty = 3))

    enter image description here

    回复于
  • 6

    xyplot() 's key argument takes a list of parameters that'很好地处理这个问题 . 唯一真正的诀窍是，如果在列表中包含 lines 元素，则可以在其中包含一个额外的 type= 元素，指示哪些项目将被绘制为点，哪些项目将被绘制为线条 .

    ## Set up a key
foo_key <- list(x = .97, y = .92, corner = c(1, 1),
            text = list(c("Observed", "Predicted")),
            lines = list(type = c("p", "l"), col = c("red", "blue"),
                         pch = 3, lwd = 4, lty = 3))

## Then pass it in to xyplot() via its 'key' argument
foo <- xyplot(Meat_Weight~Shell_Height|SAMS_region_2015,data=example2,
            ylab="Meat Weight (g)",xlab="Shell Height (mm)",
            type = "p", col = "red", pch = 3,
            key = foo_key)
## ... and carry on with your code, adding a layer and printing the whole thing
foo <- foo +
       as.layer(xyplot(model_predict~Shell_Height|SAMS_region_2015,
           type = "l", data = example1, col = "blue", lwd = 4, lty = 3))

foo

    enter image description here

    回复于

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