单图中的 MATLAB 多个(平行)箱线图
MATLAB Multiple(parallel) box plots in single figure
我在 MATLAB 中使用箱线图函数。我需要为 6 'XTicks' 的 6 个不同数据集绘制箱线图,即 x 轴上的每个刻度线应包含 6 个相应的框、晶须、中线和其域内的异常值集。我尝试通过为每个变量设置偏移量来操纵 'XTick' 属性,但它不适用于 boxplot(),因为它适用于普通 plot()。我也无法添加图例。
我的问题的 3 个变量等价物如下:
编辑:
以下是需要修改的代码片段
TreadmillData = randi([20,200],69,6);
Speeds = {'1.5mph' '2.5mph' '3.5mph' '4.5mph' '5.5mph' '6.5mph'};
DeviceColors = {'r' 'g' 'c' [0.5 0 0.5] 'b' [1 0.5 0]};
Pedometer1 = TreadmillData(1:7:end,:);
Pedometer2 = TreadmillData(2:7:end,:);
Pedometer3 = TreadmillData(3:7:end,:);
Pedometer4 = TreadmillData(4:7:end,:);
Pedometer5 = TreadmillData(5:7:end,:);
Pedometer6 = TreadmillData(6:7:end,:);
GroupedData = {Pedometer1 Pedometer2 Pedometer3 Pedometer4 Pedometer5 Pedometer6};
legendEntries = {'dev1' 'dev2' 'dev3' 'dev4' 'dev5' 'dev6'};
figure;
Xt = 20:20:120;
Xt_Offset = [-15,-10,-5,5,10,15];
for i=1:6
boxplot(GroupedData{i},'Color',DeviceColors{i});
set(gca,'XTick',Xt+Xt_Offset(i));
if i==3
set(gca,'XTickLabel',Speeds);
end
hold on;
end
xlabel('Speed');ylabel('Step Count'); grid on;
legend(legendEntries);
如有任何帮助,我们将不胜感激!
我对你的代码做了一些修改。我已经在 R2014b 中对此进行了测试。
TreadmillData = randi([20,200],69,6);
Speeds = {'1.5mph' '2.5mph' '3.5mph' '4.5mph' '5.5mph' '6.5mph'};
DeviceColors = {'r' 'g' 'c' [0.5 0 0.5] 'b' [1 0.5 0]};
Pedometer1 = TreadmillData(1:7:end,:);
Pedometer2 = TreadmillData(2:7:end,:);
Pedometer3 = TreadmillData(3:7:end,:);
Pedometer4 = TreadmillData(4:7:end,:);
Pedometer5 = TreadmillData(5:7:end,:);
Pedometer6 = TreadmillData(6:7:end,:);
GroupedData = {Pedometer1 Pedometer2 Pedometer3 Pedometer4 Pedometer5 Pedometer6};
legendEntries = {'dev1' 'dev2' 'dev3' 'dev4' 'dev5' 'dev6'};
N = numel(GroupedData);
delta = linspace(-.3,.3,N); %// define offsets to distinguish plots
width = .2; %// small width to avoid overlap
cmap = hsv(N); %// colormap
legWidth = 1.8; %// make room for legend
figure;
hold on;
for ii=1:N %// better not to shadow i (imaginary unit)
%if ii~=ceil(N/2)
% labels = repmat({''},1,N); %// empty labels
%else
labels = Speeds; %// center plot: use real labels
%end
boxplot(GroupedData{ii},'Color', DeviceColors{ii}, 'boxstyle','filled', ...
'position',(1:numel(labels))+delta(ii), 'widths',width, 'labels',labels)
%// plot filled boxes with specified positions, widths, labels
plot(NaN,1,'color',DeviceColors{ii}); %// dummy plot for legend
end
xlabel('Speed'); ylabel('Step Count'); grid on;
xlim([1+2*delta(1) numel(labels)+legWidth+2*delta(N)]) %// adjust x limits, with room for legend
legend(legendEntries);
这里是绘制多个 boxplot
的解决方案。您必须将所有数据分组到一个矩阵中,每组由一列 Nan
分隔。之后,您可以简单地绘制单个常规 boxplot
和 ad-hoc 选项,例如 colors
和 labels
。
以下示例使用 2 组 3,所以 7 列。前4行数据:
0.6993 0.0207 -0.7485 NaN 0.5836 -0.1763 -1.8468
-0.0494 -1.5411 0.8022 NaN 2.7124 -0.0636 -2.3639
0.9134 0.7106 -0.1375 NaN -0.2200 -0.2528 -0.8350
-0.5655 1.3820 0.6038 NaN -0.7563 -0.9779 0.3789
代码:
figure('Color', 'w');
c = colormap(lines(3));
A = randn(60,7); % some data
A(:,4) = NaN; % this is the trick for boxplot
C = [c; ones(1,3); c]; % this is the trick for coloring the boxes
% regular plot
boxplot(A, 'colors', C, 'plotstyle', 'compact', ...
'labels', {'','ASIA','','','','USA',''}); % label only two categories
hold on;
for ii = 1:3
plot(NaN,1,'color', c(ii,:), 'LineWidth', 4);
end
title('BOXPLOT');
ylabel('MPG');
xlabel('ORIGIN');
legend({'SUV', 'SEDAN', 'SPORT'});
set(gca, 'XLim', [0 8], 'YLim', [-5 5]);
我在 MATLAB 中使用箱线图函数。我需要为 6 'XTicks' 的 6 个不同数据集绘制箱线图,即 x 轴上的每个刻度线应包含 6 个相应的框、晶须、中线和其域内的异常值集。我尝试通过为每个变量设置偏移量来操纵 'XTick' 属性,但它不适用于 boxplot(),因为它适用于普通 plot()。我也无法添加图例。
我的问题的 3 个变量等价物如下:
编辑:
以下是需要修改的代码片段
TreadmillData = randi([20,200],69,6);
Speeds = {'1.5mph' '2.5mph' '3.5mph' '4.5mph' '5.5mph' '6.5mph'};
DeviceColors = {'r' 'g' 'c' [0.5 0 0.5] 'b' [1 0.5 0]};
Pedometer1 = TreadmillData(1:7:end,:);
Pedometer2 = TreadmillData(2:7:end,:);
Pedometer3 = TreadmillData(3:7:end,:);
Pedometer4 = TreadmillData(4:7:end,:);
Pedometer5 = TreadmillData(5:7:end,:);
Pedometer6 = TreadmillData(6:7:end,:);
GroupedData = {Pedometer1 Pedometer2 Pedometer3 Pedometer4 Pedometer5 Pedometer6};
legendEntries = {'dev1' 'dev2' 'dev3' 'dev4' 'dev5' 'dev6'};
figure;
Xt = 20:20:120;
Xt_Offset = [-15,-10,-5,5,10,15];
for i=1:6
boxplot(GroupedData{i},'Color',DeviceColors{i});
set(gca,'XTick',Xt+Xt_Offset(i));
if i==3
set(gca,'XTickLabel',Speeds);
end
hold on;
end
xlabel('Speed');ylabel('Step Count'); grid on;
legend(legendEntries);
如有任何帮助,我们将不胜感激!
我对你的代码做了一些修改。我已经在 R2014b 中对此进行了测试。
TreadmillData = randi([20,200],69,6);
Speeds = {'1.5mph' '2.5mph' '3.5mph' '4.5mph' '5.5mph' '6.5mph'};
DeviceColors = {'r' 'g' 'c' [0.5 0 0.5] 'b' [1 0.5 0]};
Pedometer1 = TreadmillData(1:7:end,:);
Pedometer2 = TreadmillData(2:7:end,:);
Pedometer3 = TreadmillData(3:7:end,:);
Pedometer4 = TreadmillData(4:7:end,:);
Pedometer5 = TreadmillData(5:7:end,:);
Pedometer6 = TreadmillData(6:7:end,:);
GroupedData = {Pedometer1 Pedometer2 Pedometer3 Pedometer4 Pedometer5 Pedometer6};
legendEntries = {'dev1' 'dev2' 'dev3' 'dev4' 'dev5' 'dev6'};
N = numel(GroupedData);
delta = linspace(-.3,.3,N); %// define offsets to distinguish plots
width = .2; %// small width to avoid overlap
cmap = hsv(N); %// colormap
legWidth = 1.8; %// make room for legend
figure;
hold on;
for ii=1:N %// better not to shadow i (imaginary unit)
%if ii~=ceil(N/2)
% labels = repmat({''},1,N); %// empty labels
%else
labels = Speeds; %// center plot: use real labels
%end
boxplot(GroupedData{ii},'Color', DeviceColors{ii}, 'boxstyle','filled', ...
'position',(1:numel(labels))+delta(ii), 'widths',width, 'labels',labels)
%// plot filled boxes with specified positions, widths, labels
plot(NaN,1,'color',DeviceColors{ii}); %// dummy plot for legend
end
xlabel('Speed'); ylabel('Step Count'); grid on;
xlim([1+2*delta(1) numel(labels)+legWidth+2*delta(N)]) %// adjust x limits, with room for legend
legend(legendEntries);
这里是绘制多个 boxplot
的解决方案。您必须将所有数据分组到一个矩阵中,每组由一列 Nan
分隔。之后,您可以简单地绘制单个常规 boxplot
和 ad-hoc 选项,例如 colors
和 labels
。
以下示例使用 2 组 3,所以 7 列。前4行数据:
0.6993 0.0207 -0.7485 NaN 0.5836 -0.1763 -1.8468
-0.0494 -1.5411 0.8022 NaN 2.7124 -0.0636 -2.3639
0.9134 0.7106 -0.1375 NaN -0.2200 -0.2528 -0.8350
-0.5655 1.3820 0.6038 NaN -0.7563 -0.9779 0.3789
代码:
figure('Color', 'w');
c = colormap(lines(3));
A = randn(60,7); % some data
A(:,4) = NaN; % this is the trick for boxplot
C = [c; ones(1,3); c]; % this is the trick for coloring the boxes
% regular plot
boxplot(A, 'colors', C, 'plotstyle', 'compact', ...
'labels', {'','ASIA','','','','USA',''}); % label only two categories
hold on;
for ii = 1:3
plot(NaN,1,'color', c(ii,:), 'LineWidth', 4);
end
title('BOXPLOT');
ylabel('MPG');
xlabel('ORIGIN');
legend({'SUV', 'SEDAN', 'SPORT'});
set(gca, 'XLim', [0 8], 'YLim', [-5 5]);