如何在ggplot2中将geom_vline（）和geom_hline（）图例与其他图例分开

时间：2013-12-11 19:43:21

标签： r plot ggplot2

我尝试使用ggplot2在R中创建一个地块，该地块显示地下水保护标准的水平线以及显示建筑项目开始的垂直线。我已经为测量单位创建了图例，以及样本是否低于检测限。所有这些传说都出现在我想要的地方，但来自水平和垂直线的传说都覆盖在其他传说上。我已尝试使用show_guide的多种方式，使用不同的数据数据框和override.aes = list()但似乎没有任何方法可以获得所需的结果。

以下是数据的样子：

head(dmr_data)
    location_id sample_date analysis_result lt_measure default_unit           param_name
154        MWH1  2004-06-02          0.0150                    mg/L   Arsenic, dissolved
155        MWH1  2004-06-02          0.0850                    mg/L    Barium, dissolved
156        MWH1  2004-06-02          0.0002          <         mg/L Beryllium, dissolved
158        MWH1  2004-06-02          0.0005          <         mg/L   Cadmium, dissolved
162        MWH1  2004-06-02          0.0020          <         mg/L      Lead, dissolved
164        MWH1  2004-06-02          0.0010          <         mg/L  Thallium, dissolved
    DMR_limit  GWPS non_detect
154   0.01000 0.010          0
155   0.17340 2.000          0
156   0.00005 0.004          1
158   0.00100 0.005          1
162   0.00500 0.015          1
164   0.00060 0.002          1

以下是情节的代码：

 combo_plot <- function(df){ 

  limits = df

  shaded_dates <- data.frame(xmin = c(as.POSIXct("2004-06-01", format = "%Y-%m-%d"), 
                                  as.POSIXct("2013-10-01", format = "%Y-%m-%d")), 
                         xmax = c(as.POSIXct("2013-10-01", format="%Y-%m-%d"), 
                                  max(df$sample_date)),
                         ymin = c(-Inf, -Inf), 
                         ymax = c(Inf, Inf),
                         years = c("background", "compliance"))

  ggplot(data = df, aes(x = sample_date, y = analysis_result)) + 
    geom_point(data = df, aes(colour = default_unit, shape = factor(non_detect)), size = 4) + 
    geom_line(data = df, aes(colour = default_unit), size = 1) +
    facet_wrap(~ param_name, scale="free") + 

# Plot legends, labels, and titles
ggtitle(paste("Time Series Plots for Monitoring Well", 
              df$location_id[1], "\n", sep=" ")) + 
ylab("Analysis Result") +
xlab("Sample Date") + scale_x_datetime(labels = date_format("%Y")) +
theme(axis.text.x = element_text(angle = 90)) +
theme(plot.margin = unit(c(0.75, 0.75, 0.75, 0.75), "in")) + 
theme_bw() + 
scale_colour_discrete(name = "Units", guide = "legend") + 

# add rectangles for date ranges
geom_rect(data = shaded_dates, aes(xmin = xmin, ymin = ymin, xmax = xmax, 
                                   ymax = ymax, fill = years),
          alpha = 0.2, inherit.aes = FALSE) +
scale_fill_manual(values=c("blue","green")) +

# add horizontal lines for EPA MCL and Upper Prediction Limit
geom_hline(data = limits, aes(yintercept = GWPS, linetype = "GWPS"), show_guide = TRUE, size = 0.75) +
geom_hline(data = limits, aes(yintercept = DMR_limit, linetype = "DMR Limit"), show_guide = TRUE, size = 0.75) +

# create custom legend using guide
theme(axis.title.x = element_text(size = 15, vjust=-.2)) +
theme(axis.title.y = element_text(size = 15, vjust=0.3)) +
guides(colour = guide_legend("Units"), fill = guide_legend("Dates"),
       linetype = guide_legend("Limits")) +
scale_shape_manual(name = "Measure", labels = c("Non-Detect", "Detected"),
                   values = c("1" = 21, "0" = 4)) + 

# add vertical line to show start of "East Pushout" construction
geom_vline(xintercept = as.numeric(as.POSIXct("2008-08-01", format="%Y-%m-%d")),
           linetype="dotted", show_guide = T)

}

然后我使用plyr为所有井创建刻面图

d_ply(dmr_data, .(location_id), .progress = "text", failwith(NA, combo_plot), .print = TRUE)

以下是输出的样子。 enter image description here 任何帮助将不胜感激！

1 个答案:

答案 0 :(得分：5)

您可以在override.aes = list(linetype = 0)中使用guides()，并为线型添加新比例（以便排除垂直构造线在图例中显示），从而获得所需效果。

将您的hline()部分替换为：

## add horizontal lines for EPA MCL and Upper Prediction Limit
geom_hline(data = limits, aes(yintercept = GWPS, linetype = "GWPS"), colour = "black", size = 0.75, show_guide = T) +
geom_hline(data = limits, aes(yintercept = DMR_limit, linetype = "DMR Limit"), size = 0.75, show_guide = T) +
scale_linetype_manual(name = "Limits", labels = c("GWPS", "DMR Limit"), values = c("GWPS" = 1, "DMR Limit" = 2)) +

将您的guides()行替换为：

guides(colour = guide_legend(override.aes = list(linetype = 0 )), 
       fill = guide_legend(override.aes = list(linetype = 0 )), 
       shape = guide_legend(override.aes = list(linetype = 0 )), 
       linetype = guide_legend()) +

如果您希望在图例中显示虚线垂直线，请将适当的参数添加到geom_vline(aes())和scale_linetype_manual()。

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