PROSAGA码农传奇-SAS-在SAS中生成单个列表的直方图

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    只有这4个数据值，直方图如下所示：
  
  
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      <img src =“https://i.stack.imgur.com/sK3LE.png”alt =“在此处输入图片说明”/>
    </A>
  
  
    绘图例程计算箱的年龄范围和箱中心的位置。计算是一些你可以控制的内部算法
     <code>
 histogram
 </code>
     声明选项
     <code>
 / binstart= binwidth= nbins=
 </code>
    。
  
  
    当然，直方图条是针对箱的，并且高度被缩放到落入箱中的值的相对计数。 y轴将是实际计数或计数百分比。你有4个值落入3个箱子，所以其中一个箱子的计数为2（或50％= 2/4）。最高值栏比最低值栏短，因为高值低于低值。
  
  
    当您有更多数据时会发生什么？
  
  
    下面是一些代码，它们创建符合正态分布的250个值并对其进行直方图，还显示了累积频率针图。
  
   <pre>
 <code>
 data work.have;
 do personid = 1 to 250;
 do until (18 <= age <= 60);
 age = floor(18 + (32 + sqrt(62) * rannor(123)));
 end;
 output;
 end;
run;

proc freq noprint data=have;
  table age / out=freq outcum;  * data for needle plot;
run;

proc sgplot data=have;
    title height=14pt "Default bins";
    histogram age / showbins;
    density age;
    density age / type=Kernel;
run;

proc sgplot data=have;
    title height=14pt "binstart=20 binwidth=2";
    histogram age / showbins binstart=20 binwidth=2;
    density age;
    density age / type=Kernel;
run;

proc sgplot data=freq;
    title height=10pt "cum_freq needle plot of data from Proc FREQ output";
    needle x=age y=cum_freq;
run;

</code>
 </pre>
  
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      <img src =“https://i.stack.imgur.com/cM4CK.png”alt =“在此处输入图片说明”/>
    </A>
  
  
    更多示例代码显示的效果
     <code>
 nbins
 </code>
     和
     <code>
 xaxis
 </code>
  
   <pre>
 <code>
 ods graphics / reset width=500px height=250px imagemap;
proc sgplot data=have;
 title height=12pt "binstart=0 nbins=25";
 title2 height=12pt "xaxis min=0 max=100";
 histogram age / showbins binstart=0 binwidth=2 nbins=50;
 density age;
 density age / type=Kernel;
 xaxis min=0 max=100;
run;

proc sgplot data=have;
    title  height=12pt "binstart=0 nbins=10";
    title2 height=12pt "xaxis min=-100 max=200";
    histogram age / showbins binstart=0 binwidth=2 nbins=50;
    density age;
    density age / type=Kernel;
    xaxis min=-100 max=200;
run;

</code>
 </pre>
  
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      <img src =“https://i.stack.imgur.com/L7Apa.png”alt =“在此处输入图片说明”/>
    </A>
  
  
    对于在不同分类组中查看变量分布的情况，您可能需要升级到SGPANEL：
  
   <pre>
 <code>
 data work.have2;
 do year = 2017, 2018;
 do group = 'Team A', 'Team B', 'Team C';
 do _n_ = 1 to 250;
 personId + 1; 
 do until (18 <= age <= 95);
 age = floor(6 + (32 + sqrt(95) * rannor(123)));
 end;
 output;
 end;
 end;
 end;
run;

ods graphics / reset;

title;
proc sgpanel data=have2;
  panelby year group / layout=lattice;
  histogram age;
  xaxis 
run;

</code>
 </pre>
  
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    </A>
  
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