在 ggvis 中的图表下方添加水平离散图例-解网

问：

我想在图表下方做一个水平图例。我可以使用图例属性将其放置在图表下方，但不知道如何使标签在图例标题下方水平放置。以下是最小的可重复代码（从网络上获取）。ggvis

df1 = data.frame(x=sample(1:10), y=sample(1:10))
df2 = data.frame(x=1:10, y=1:10)
df3 = data.frame(x=1:10, y=sqrt(1:10))

df2$id <- 1
df3$id <- 2
df4    <- rbind(df2,df3)
df4$id <- factor(df4$id)

df4 %>% ggvis(x=~x, y=~y, stroke=~id) %>% layer_lines() %>%
    # make sure you use add relative scales
    add_relative_scales() %>%
    # values for x and y need to be between 0 and 1
    # e.g for the x-axis 0 is the at far-most left point and 1 at the far-right 
    add_legend("stroke", title="Cylinders",
               properties=legend_props(
                   legend=list(
                       x=scaled_value("x_rel", 0.2),
                       y=scaled_value("y_rel", -.2)
                   ))) %>%
    layer_points(x=~x, y=~y, data=df1, stroke:='black')

R 绘图 GGVIS 图例-属性

df4 %>% ggvis(x=~x,y=~y,stroke=~id) %>% layer_lines() %>%
  #make sure you use add relative scales
  add_relative_scales() %>%
  #values for x and y need to be between 0 and 1
  #e.g for the x-axis 0 is the at far-most left point and 1 at the far-right 
  add_legend("stroke", title = "Cylinders", values = c(1, 1),
             properties = legend_props(
               legend = list(
                 x = scaled_value("x_rel", 0.2),
                 y = scaled_value("y_rel", -.2)
               ))) %>%
  add_legend("stroke", title = " ", values = c(2, 2),
             properties = legend_props(
               legend = list(
                 x = scaled_value("x_rel", 0.23),
                 y = scaled_value("y_rel", -.2)
               ))) %>%
  layer_points(x=~x,y=~y,data = df1,stroke:='black')

基本上，我正在添加另一个，将标题设置为空白，调整标题，使其非常接近第一个图例但不重叠。然后，我设置了第一个图例和第二个图例，以便将两个值堆叠在一起。这使它看起来像一个具有水平值的图例。add_legendscale_valuevalues = c(1,1)values = c(2,2)

0赞 Alessio 12/31/2018 #2

看到 ggvis 现在处于休眠状态，也许可以考虑切换到 .googleVis

下面是一个类似的图，你可以通过稍微操作一下你的样本数据来得到：

df5 <- df4[df4$id==1,]
colnames(df5)[2] <- "y1"

library(tidyverse)

df5 <- df5 %>%
  mutate(
    y0 = df1[order(df1$x),c(2)],
    y2 = sqrt(x)
  )

df5 <- df5[, c(1,4,2,5)]

library(googleVis)

plot_df5 <- gvisLineChart(df5, options=list(
                                            legend="bottom",
                                            series =
                                            "[{labelInLegend: 'Dot', color: 'black'},                                            
                                            {labelInLegend: 'Cylinders: 1', color: 'blue', curveType: 'dot'},
                                            {labelInLegend: 'Cylinders: 2', color: 'orange'}]"
                                           )
                         )
plot(plot_df5)

<!-- LineChart generated in R 3.5.2 by googleVis 0.6.2 package -->
<!-- Sun Dec 30 21:21:26 2018 -->


<!-- jsHeader -->
<script type="text/javascript">


// jsData 
function gvisDataLineChartID1fd8710660d () {
var data = new google.visualization.DataTable();
var datajson =
[
 [
"1",
3,
1,
1
],
[
"2",
4,
2,
1.414213562
],
[
"3",
6,
3,
1.732050808
],
[
"4",
1,
4,
2
],
[
"5",
10,
5,
2.236067977
],
[
"6",
8,
6,
2.449489743
],
[
"7",
7,
7,
2.645751311
],
[
"8",
2,
8,
2.828427125
],
[
"9",
9,
9,
3
],
[
"10",
5,
10,
3.16227766
] 
];
data.addColumn('string','x');
data.addColumn('number','y0');
data.addColumn('number','y1');
data.addColumn('number','y2');
data.addRows(datajson);
return(data);
}


// jsDrawChart
function drawChartLineChartID1fd8710660d() {
var data = gvisDataLineChartID1fd8710660d();
var options = {};
options["allowHtml"] = true;
options["legend"] = "bottom";
options["series"] = [{labelInLegend: 'Dot', color: 'black'},                                            
                                            {labelInLegend: 'Cylinders: 1', color: 'blue', curveType: 'dot'},
                                            {labelInLegend: 'Cylinders: 2', color: 'orange'}];


    var chart = new google.visualization.LineChart(
    document.getElementById('LineChartID1fd8710660d')
    );
    chart.draw(data,options);
    

}
  


// jsDisplayChart
(function() {
var pkgs = window.__gvisPackages = window.__gvisPackages || [];
var callbacks = window.__gvisCallbacks = window.__gvisCallbacks || [];
var chartid = "corechart";
  
// Manually see if chartid is in pkgs (not all browsers support Array.indexOf)
var i, newPackage = true;
for (i = 0; newPackage && i < pkgs.length; i++) {
if (pkgs[i] === chartid)
newPackage = false;
}
if (newPackage)
  pkgs.push(chartid);
  
// Add the drawChart function to the global list of callbacks
callbacks.push(drawChartLineChartID1fd8710660d);
})();
function displayChartLineChartID1fd8710660d() {
  var pkgs = window.__gvisPackages = window.__gvisPackages || [];
  var callbacks = window.__gvisCallbacks = window.__gvisCallbacks || [];
  window.clearTimeout(window.__gvisLoad);
  // The timeout is set to 100 because otherwise the container div we are
  // targeting might not be part of the document yet
  window.__gvisLoad = setTimeout(function() {
  var pkgCount = pkgs.length;
  google.load("visualization", "1", { packages:pkgs, callback: function() {
  if (pkgCount != pkgs.length) {
  // Race condition where another setTimeout call snuck in after us; if
  // that call added a package, we must not shift its callback
  return;
}
while (callbacks.length > 0)
callbacks.shift()();
} });
}, 100);
}


// jsFooter
</script>


<!-- jsChart -->  
<script type="text/javascript" src="https://www.google.com/jsapi?callback=displayChartLineChartID1fd8710660d"></script>


<!-- divChart -->
  
<div id="LineChartID1fd8710660d" 
  style="width: 500; height: automatic;">
</div>

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