Graph SAS图形：将两个绘图的轴与晶格行对齐_Graph_Plot_Sas

Graph SAS图形：将两个绘图的轴与晶格行对齐

graph plot sas

Graph SAS图形：将两个绘图的轴与晶格行对齐,graph,plot,sas,Graph,Plot,Sas,我真的在努力解决这个问题，我真的找不到解决办法，我希望，在这里发布，有人会帮助我问题是，使用这个2格行模板，我无法对齐轴现在，我详细介绍了我使用代码所做的一切，以重现每个步骤：我有这个阴谋这里是图形和示例数据集的代码，它是以下内容的简单版本：样本数据集： data immune; format sival f6.3; input trt $ 1-8 cyc $ 10-18 pt lbparm $ xval sival; cards; Drug A Cycle 1

我真的在努力解决这个问题，我真的找不到解决办法，我希望，在这里发布，有人会帮助我

问题是，使用这个2格行模板，我无法对齐轴

现在，我详细介绍了我使用代码所做的一切，以重现每个步骤：

我有这个阴谋

这里是图形和示例数据集的代码，它是以下内容的简单版本：

样本数据集：

data immune;
   format sival f6.3;
   input trt $ 1-8 cyc $ 10-18 pt lbparm $ xval sival;
   cards;
Drug A   Cycle 1   1   C3  1   1.120
Drug A   Cycle 1   1   C4  1   0.147
Drug A   Cycle 1   1   C3  2   1.080
Drug A   Cycle 1   1   C4  2   0.131
Drug A   Cycle 1   1   C3  3   0.887
Drug A   Cycle 1   1   C4  3   0.113
Drug A   Cycle 2   1   C3  4   1.440
Drug A   Cycle 2   1   C4  4   0.278
Drug A   Cycle 2   1   C3  5   1.180
Drug A   Cycle 2   1   C4  5   0.234
Drug A   Cycle 2   1   C3  6   1.360
Drug A   Cycle 2   1   C4  6   0.281
Drug A   Cycle 3   1   C3  7   1.190
Drug A   Cycle 3   1   C4  7   0.282
Drug A   Cycle 3   1   C3  8   1.000
Drug A   Cycle 3   1   C4  8   0.228
Drug A   Cycle 3   1   C3  9   1.040
Drug A   Cycle 3   1   C4  9   0.228
Drug A   Cycle 4   1   C3 10   0.917
Drug A   Cycle 4   1   C4 10   0.163
Drug A   Cycle 4   1   C3 11   0.789
Drug A   Cycle 4   1   C4 11   0.136
Drug A   Cycle 4   1   C3 12   0.861
Drug A   Cycle 4   1   C4 12   0.148
Drug A   Cycle 1   2   C3  1   1.180
Drug A   Cycle 1   2   C4  1   0.264
Drug A   Cycle 1   2   C3  2   0.942
Drug A   Cycle 1   2   C4  2   0.184
Drug A   Cycle 1   2   C3  3   1.010
Drug A   Cycle 1   2   C4  3   0.160
Drug A   Cycle 2   2   C3  4   1.050
Drug A   Cycle 2   2   C4  4   0.134
Drug A   Cycle 2   2   C3  5   0.980
Drug A   Cycle 2   2   C4  5   0.120
Drug A   Cycle 2   2   C3  6   1.020
Drug A   Cycle 2   2   C4  6   0.126
Drug A   Cycle 3   2   C3  7   0.961
Drug A   Cycle 3   2   C4  7   0.110
Drug A   Cycle 3   2   C3  8   0.859
Drug A   Cycle 3   2   C4  8   0.091
Drug A   Cycle 3   2   C3  9   0.928
Drug A   Cycle 3   2   C4  9   0.097
Drug A   Cycle 4   2   C3 10   1.380
Drug A   Cycle 4   2   C4 10   0.330
Drug A   Cycle 4   2   C3 11   1.210
Drug A   Cycle 4   2   C4 11   0.281
Drug A   Cycle 4   2   C3 12   1.180
Drug A   Cycle 4   2   C4 12   0.278
Drug A   Cycle 1   3   C3  1   1.180
Drug A   Cycle 1   3   C4  1   0.269
Drug A   Cycle 1   3   C3  2   1.010
Drug A   Cycle 1   3   C4  2   0.213
Drug A   Cycle 1   3   C3  3   1.040
Drug A   Cycle 1   3   C4  3   0.200
Drug A   Cycle 2   3   C3  4   1.200
Drug A   Cycle 2   3   C4  4   0.332
Drug A   Cycle 2   3   C4  5   0.371
Drug A   Cycle 2   3   C4  6   0.316
Drug A   Cycle 3   3   C4  7   0.271
Drug A   Cycle 3   3   C3  8   1.050
Drug A   Cycle 3   3   C4  8   0.246
Drug A   Cycle 3   3   C3  9   1.100
Drug A   Cycle 3   3   C4  9   0.248
Drug A   Cycle 4   3   C3 10   1.090
Drug A   Cycle 4   3   C4 10   0.234
Drug A   Cycle 4   3   C3 11   0.937
Drug A   Cycle 4   3   C3 12   0.980
Drug A   Cycle 1   4   C3  1   1.220
Drug A   Cycle 1   4   C4  1   0.182
Drug A   Cycle 1   4   C3  2   0.983
Drug A   Cycle 1   4   C4  2   0.132
Drug A   Cycle 1   4   C3  3   0.979
Drug A   Cycle 1   4   C4  3   0.128
Drug A   Cycle 2   4   C3  4   1.190
Drug A   Cycle 2   4   C4  4   0.134
Drug A   Cycle 2   4   C3  5   1.010
Drug A   Cycle 2   4   C4  5   0.076
Drug A   Cycle 2   4   C3  6   1.100
Drug A   Cycle 2   4   C4  6   0.083
Drug A   Cycle 3   4   C3  7   1.140
Drug A   Cycle 3   4   C4  7   0.108
Drug A   Cycle 3   4   C3  8   1.140
Drug A   Cycle 3   4   C4  8   0.104
Drug A   Cycle 3   4   C3  9   1.120
Drug A   Cycle 3   4   C4  9   0.080
;
run;

proc sort data=immune out=sasuser.immune;
   by pt;
run;

data firstrow;
length ROW $20 TITLE $20 REASON $50 CHAR $20 VAR $20;
infile datalines dlm=',';
input ROW TITLE REASON CHAR VAR;
datalines;
ROW 1,ROW 1,FIRST REASON,FIRST ROW,FIRST VAR,
ROW 2,ROW 2,SECOND REASON,SECOND ROW,SECOND VAR,
ROW 3,ROW 3,THIRD REASON,THIRD ROW,THIRD VAR,
ROW 4,ROW 4,FOURTH REASON,FOURTH ROW,FOURTH VAR,
;
proc transpose data=firstrow out=firstrow_;
by row;
var title reason char var;
run;

现在，图形的模板代码为：

proc template;
  define statgraph gsv00251;
    begingraph / designwidth=7in designheight=4.5in;
      entrytitle 'Immunology Profile by Treatment';
      layout gridded;
        layout datalattice rowvar=lbparm /
               headerlabeldisplay=value includemissingclass=false
               columnaxisopts=(label="Cycle Day" griddisplay=on type=discrete
               discreteopts=(tickdisplaylist=
               ("0" "15" "30" "0" "15" "30" "0" "15" "30" "0" "15" "30"))  
               offsetmin = .03 offsetmax = .03)
               rowaxisopts=(offsetmax=.1 label="Values Converted to SI Units "
               griddisplay=on) rowdatarange=union;
        layout prototype;
          blockplot x=xval block=cyc / datatransparency = .75
                                       display=(outline fill ) 
                                       name="block" filltype=alternate;
          seriesplot x=xval y=sival / group=pt index=pt name='a'
                                      display=all lineattrs=(pattern=1 thickness=2) 
                                      markerattrs=(symbol=circlefilled size=8);    
        endlayout;
        endlayout;
        entry ' ';
        discretelegend 'a' / title='Patient' across=8;
      endlayout; 
    endgraph;
  end;
run;

现在，我想在每个块的顶部添加一些信息，因此我在web上进行了一些搜索，发现实现此结果的最佳方法是更改proc模板，添加2个lattice行：

1第一个格子行包含一个区块图，其中包含这些信息，如图中的方框图和统计数据，第二个示例

2包含先前发布的绘图的第二个晶格行

因此，我创建了这个原始样本数据集：

data immune;
   format sival f6.3;
   input trt $ 1-8 cyc $ 10-18 pt lbparm $ xval sival;
   cards;
Drug A   Cycle 1   1   C3  1   1.120
Drug A   Cycle 1   1   C4  1   0.147
Drug A   Cycle 1   1   C3  2   1.080
Drug A   Cycle 1   1   C4  2   0.131
Drug A   Cycle 1   1   C3  3   0.887
Drug A   Cycle 1   1   C4  3   0.113
Drug A   Cycle 2   1   C3  4   1.440
Drug A   Cycle 2   1   C4  4   0.278
Drug A   Cycle 2   1   C3  5   1.180
Drug A   Cycle 2   1   C4  5   0.234
Drug A   Cycle 2   1   C3  6   1.360
Drug A   Cycle 2   1   C4  6   0.281
Drug A   Cycle 3   1   C3  7   1.190
Drug A   Cycle 3   1   C4  7   0.282
Drug A   Cycle 3   1   C3  8   1.000
Drug A   Cycle 3   1   C4  8   0.228
Drug A   Cycle 3   1   C3  9   1.040
Drug A   Cycle 3   1   C4  9   0.228
Drug A   Cycle 4   1   C3 10   0.917
Drug A   Cycle 4   1   C4 10   0.163
Drug A   Cycle 4   1   C3 11   0.789
Drug A   Cycle 4   1   C4 11   0.136
Drug A   Cycle 4   1   C3 12   0.861
Drug A   Cycle 4   1   C4 12   0.148
Drug A   Cycle 1   2   C3  1   1.180
Drug A   Cycle 1   2   C4  1   0.264
Drug A   Cycle 1   2   C3  2   0.942
Drug A   Cycle 1   2   C4  2   0.184
Drug A   Cycle 1   2   C3  3   1.010
Drug A   Cycle 1   2   C4  3   0.160
Drug A   Cycle 2   2   C3  4   1.050
Drug A   Cycle 2   2   C4  4   0.134
Drug A   Cycle 2   2   C3  5   0.980
Drug A   Cycle 2   2   C4  5   0.120
Drug A   Cycle 2   2   C3  6   1.020
Drug A   Cycle 2   2   C4  6   0.126
Drug A   Cycle 3   2   C3  7   0.961
Drug A   Cycle 3   2   C4  7   0.110
Drug A   Cycle 3   2   C3  8   0.859
Drug A   Cycle 3   2   C4  8   0.091
Drug A   Cycle 3   2   C3  9   0.928
Drug A   Cycle 3   2   C4  9   0.097
Drug A   Cycle 4   2   C3 10   1.380
Drug A   Cycle 4   2   C4 10   0.330
Drug A   Cycle 4   2   C3 11   1.210
Drug A   Cycle 4   2   C4 11   0.281
Drug A   Cycle 4   2   C3 12   1.180
Drug A   Cycle 4   2   C4 12   0.278
Drug A   Cycle 1   3   C3  1   1.180
Drug A   Cycle 1   3   C4  1   0.269
Drug A   Cycle 1   3   C3  2   1.010
Drug A   Cycle 1   3   C4  2   0.213
Drug A   Cycle 1   3   C3  3   1.040
Drug A   Cycle 1   3   C4  3   0.200
Drug A   Cycle 2   3   C3  4   1.200
Drug A   Cycle 2   3   C4  4   0.332
Drug A   Cycle 2   3   C4  5   0.371
Drug A   Cycle 2   3   C4  6   0.316
Drug A   Cycle 3   3   C4  7   0.271
Drug A   Cycle 3   3   C3  8   1.050
Drug A   Cycle 3   3   C4  8   0.246
Drug A   Cycle 3   3   C3  9   1.100
Drug A   Cycle 3   3   C4  9   0.248
Drug A   Cycle 4   3   C3 10   1.090
Drug A   Cycle 4   3   C4 10   0.234
Drug A   Cycle 4   3   C3 11   0.937
Drug A   Cycle 4   3   C3 12   0.980
Drug A   Cycle 1   4   C3  1   1.220
Drug A   Cycle 1   4   C4  1   0.182
Drug A   Cycle 1   4   C3  2   0.983
Drug A   Cycle 1   4   C4  2   0.132
Drug A   Cycle 1   4   C3  3   0.979
Drug A   Cycle 1   4   C4  3   0.128
Drug A   Cycle 2   4   C3  4   1.190
Drug A   Cycle 2   4   C4  4   0.134
Drug A   Cycle 2   4   C3  5   1.010
Drug A   Cycle 2   4   C4  5   0.076
Drug A   Cycle 2   4   C3  6   1.100
Drug A   Cycle 2   4   C4  6   0.083
Drug A   Cycle 3   4   C3  7   1.140
Drug A   Cycle 3   4   C4  7   0.108
Drug A   Cycle 3   4   C3  8   1.140
Drug A   Cycle 3   4   C4  8   0.104
Drug A   Cycle 3   4   C3  9   1.120
Drug A   Cycle 3   4   C4  9   0.080
;
run;

proc sort data=immune out=sasuser.immune;
   by pt;
run;

data firstrow;
length ROW $20 TITLE $20 REASON $50 CHAR $20 VAR $20;
infile datalines dlm=',';
input ROW TITLE REASON CHAR VAR;
datalines;
ROW 1,ROW 1,FIRST REASON,FIRST ROW,FIRST VAR,
ROW 2,ROW 2,SECOND REASON,SECOND ROW,SECOND VAR,
ROW 3,ROW 3,THIRD REASON,THIRD ROW,THIRD VAR,
ROW 4,ROW 4,FOURTH REASON,FOURTH ROW,FOURTH VAR,
;
proc transpose data=firstrow out=firstrow_;
by row;
var title reason char var;
run;

并将“否”与上一个数据集合并：

proc sort data=immune out=immune;
   by pt;
run;

data immune;
merge immune firstrow_;
run;

然后修改proc模板，添加布局晶格和区块图

proc template;
  define statgraph gsv00251;
    begingraph / designwidth=7in designheight=4.5in;
      entrytitle 'Immunology Profile by Treatment';

     layout lattice / columns=1 rowweights=(.15 .85);
              blockplot x=row block=col1  / class=_name_
                        datatransparency = .75
                        display=(outline fill values label)
                        name="stats" filltype=alternate 
                        valuehalign=center
                        includemissingclass=false
                        labelattrs=GraphDataText valueattrs=GraphDataText ;
      layout gridded;
        layout datalattice rowvar=lbparm /
               headerlabeldisplay=value includemissingclass=false
               columnaxisopts=(label="Cycle Day" griddisplay=on type=discrete
               discreteopts=(tickdisplaylist=
               ("0" "15" "30" "0" "15" "30" "0" "15" "30" "0" "15" "30"))  
               offsetmin = .03 offsetmax = .03)
               rowaxisopts=(offsetmax=.1 label="Values Converted to SI Units "
               griddisplay=on) rowdatarange=union;
        layout prototype;
          blockplot x=xval block=cyc / datatransparency = .75
                                       display=(outline fill ) 
                                       name="block" filltype=alternate;
          seriesplot x=xval y=sival / group=pt index=pt name='a'
                                      display=all lineattrs=(pattern=1 thickness=2) 
                                      markerattrs=(symbol=circlefilled size=8);    
        endlayout;
        endlayout;
        entry ' ';
        discretelegend 'a' / title='Patient' across=8;
      endlayout; 

    endlayout;

    endgraph;
  end;
run;

结果很好，但不是最不重要的，我的意思是，列轴与两个图不对齐，结果是发布的第一个图

基本上有两个问题：标题标签在右边，轴标签在左边。我怎样才能改变这个图，以获得正确的结果？轴对齐

因为我发布了很多代码，所以在这里您只能找到所有这些的最终版本

 data immune;
   format sival f6.3;
   input trt $ 1-8 cyc $ 10-18 pt lbparm $ xval sival;
   cards;
Drug A   Cycle 1   1   C3  1   1.120
Drug A   Cycle 1   1   C4  1   0.147
Drug A   Cycle 1   1   C3  2   1.080
Drug A   Cycle 1   1   C4  2   0.131
Drug A   Cycle 1   1   C3  3   0.887
Drug A   Cycle 1   1   C4  3   0.113
Drug A   Cycle 2   1   C3  4   1.440
Drug A   Cycle 2   1   C4  4   0.278
Drug A   Cycle 2   1   C3  5   1.180
Drug A   Cycle 2   1   C4  5   0.234
Drug A   Cycle 2   1   C3  6   1.360
Drug A   Cycle 2   1   C4  6   0.281
Drug A   Cycle 3   1   C3  7   1.190
Drug A   Cycle 3   1   C4  7   0.282
Drug A   Cycle 3   1   C3  8   1.000
Drug A   Cycle 3   1   C4  8   0.228
Drug A   Cycle 3   1   C3  9   1.040
Drug A   Cycle 3   1   C4  9   0.228
Drug A   Cycle 4   1   C3 10   0.917
Drug A   Cycle 4   1   C4 10   0.163
Drug A   Cycle 4   1   C3 11   0.789
Drug A   Cycle 4   1   C4 11   0.136
Drug A   Cycle 4   1   C3 12   0.861
Drug A   Cycle 4   1   C4 12   0.148
Drug A   Cycle 1   2   C3  1   1.180
Drug A   Cycle 1   2   C4  1   0.264
Drug A   Cycle 1   2   C3  2   0.942
Drug A   Cycle 1   2   C4  2   0.184
Drug A   Cycle 1   2   C3  3   1.010
Drug A   Cycle 1   2   C4  3   0.160
Drug A   Cycle 2   2   C3  4   1.050
Drug A   Cycle 2   2   C4  4   0.134
Drug A   Cycle 2   2   C3  5   0.980
Drug A   Cycle 2   2   C4  5   0.120
Drug A   Cycle 2   2   C3  6   1.020
Drug A   Cycle 2   2   C4  6   0.126
Drug A   Cycle 3   2   C3  7   0.961
Drug A   Cycle 3   2   C4  7   0.110
Drug A   Cycle 3   2   C3  8   0.859
Drug A   Cycle 3   2   C4  8   0.091
Drug A   Cycle 3   2   C3  9   0.928
Drug A   Cycle 3   2   C4  9   0.097
Drug A   Cycle 4   2   C3 10   1.380
Drug A   Cycle 4   2   C4 10   0.330
Drug A   Cycle 4   2   C3 11   1.210
Drug A   Cycle 4   2   C4 11   0.281
Drug A   Cycle 4   2   C3 12   1.180
Drug A   Cycle 4   2   C4 12   0.278
Drug A   Cycle 1   3   C3  1   1.180
Drug A   Cycle 1   3   C4  1   0.269
Drug A   Cycle 1   3   C3  2   1.010
Drug A   Cycle 1   3   C4  2   0.213
Drug A   Cycle 1   3   C3  3   1.040
Drug A   Cycle 1   3   C4  3   0.200
Drug A   Cycle 2   3   C3  4   1.200
Drug A   Cycle 2   3   C4  4   0.332
Drug A   Cycle 2   3   C4  5   0.371
Drug A   Cycle 2   3   C4  6   0.316
Drug A   Cycle 3   3   C4  7   0.271
Drug A   Cycle 3   3   C3  8   1.050
Drug A   Cycle 3   3   C4  8   0.246
Drug A   Cycle 3   3   C3  9   1.100
Drug A   Cycle 3   3   C4  9   0.248
Drug A   Cycle 4   3   C3 10   1.090
Drug A   Cycle 4   3   C4 10   0.234
Drug A   Cycle 4   3   C3 11   0.937
Drug A   Cycle 4   3   C3 12   0.980
Drug A   Cycle 1   4   C3  1   1.220
Drug A   Cycle 1   4   C4  1   0.182
Drug A   Cycle 1   4   C3  2   0.983
Drug A   Cycle 1   4   C4  2   0.132
Drug A   Cycle 1   4   C3  3   0.979
Drug A   Cycle 1   4   C4  3   0.128
Drug A   Cycle 2   4   C3  4   1.190
Drug A   Cycle 2   4   C4  4   0.134
Drug A   Cycle 2   4   C3  5   1.010
Drug A   Cycle 2   4   C4  5   0.076
Drug A   Cycle 2   4   C3  6   1.100
Drug A   Cycle 2   4   C4  6   0.083
Drug A   Cycle 3   4   C3  7   1.140
Drug A   Cycle 3   4   C4  7   0.108
Drug A   Cycle 3   4   C3  8   1.140
Drug A   Cycle 3   4   C4  8   0.104
Drug A   Cycle 3   4   C3  9   1.120
Drug A   Cycle 3   4   C4  9   0.080
;
run;


data firstrow;
length ROW $20 TITLE $20 REASON $50 CHAR $20 VAR $20;
infile datalines dlm=',';
input ROW TITLE REASON CHAR VAR;
datalines;
ROW 1,ROW 1,FIRST REASON,FIRST ROW,FIRST VAR,
ROW 2,ROW 2,SECOND REASON,SECOND ROW,SECOND VAR,
ROW 3,ROW 3,THIRD REASON,THIRD ROW,THIRD VAR,
ROW 4,ROW 4,FOURTH REASON,FOURTH ROW,FOURTH VAR,
;

proc transpose data=firstrow out=firstrow_;
by row;
var title reason char var;
run;

proc sort data=immune out=immune;
   by pt;
run;

data immune;
merge immune firstrow_;
run;

proc template;
  define statgraph gsv00251;
    begingraph / designwidth=7in designheight=4.5in;
      entrytitle 'Immunology Profile by Treatment';

     layout lattice / columns=1 rowweights=(.15 .85);
                columnaxes;
                    columnaxis / display=(ticks tickvalues);
                endcolumnaxes;



              blockplot x=row block=col1  / class=_name_
                        datatransparency = .75
                        display=(outline fill values label)
                        name="stats" filltype=alternate 
                        valuehalign=center
                        includemissingclass=false
                        labelattrs=GraphDataText valueattrs=GraphDataText ;
      layout gridded;
        layout datalattice rowvar=lbparm /
               headerlabeldisplay=value includemissingclass=false
               columnaxisopts=(label="Cycle Day" griddisplay=on type=discrete
               discreteopts=(tickdisplaylist=
               ("0" "15" "30" "0" "15" "30" "0" "15" "30" "0" "15" "30"))  
               offsetmin = .03 offsetmax = .03)
               rowaxisopts=(offsetmax=.1 label="Values Converted to SI Units "
               griddisplay=on) rowdatarange=union;
        layout prototype;
          blockplot x=xval block=cyc / datatransparency = .75
                                       display=(outline fill ) 
                                       name="block" filltype=alternate;
          seriesplot x=xval y=sival / group=pt index=pt name='a'
                                      display=all lineattrs=(pattern=1 thickness=2) 
                                      markerattrs=(symbol=circlefilled size=8);    
        endlayout;
        endlayout;
        entry ' ';
        discretelegend 'a' / title='Patient' across=8;
      endlayout; 

    endlayout;

    endgraph;
  end;
run;
ods listing close;
ods html image_dpi=100 file='Immunology.html' path='.';
ods graphics / reset noborder width=600px height=400px 
  imagename='ClinicalHandout_Immunology' imagefmt=gif noscale;

proc sgrender data=immune template=gsv00251; 
run;
ods html close;
ods listing;

来自sas社区的交叉帖子谢谢Sanjay。

对于块打印和DATAPANEL图形，使用带有单独单元格的外部布局晶格容器时，所包含打印的轴之间没有对齐。情节彼此不了解

面板中的区块图具有X=XVAL，而顶部的区块图具有X=ROW。这些是自变量。此外，顶部图形是独立的，不需要为下部的行标题保留空间

最好的方法是避免使用数据面板。使用一个具有三行的布局晶格。底部两行将具有“C3”和“C4”数据的系列图。可以使用表达式仅提取一个LBPARM值的数据。使用INSET或Rowwader放置类值。顶行将使用块图或AxisTable显示统计信息。确保x变量相同或相似

了解您使用的SAS版本非常有用。使用SAS 9.4M3会更容易。

我有点忙，想弄明白这一点，不幸的是，也许其他人中的一个会——但你可能会在communities.SAS.com上更快地找到关于这个特定问题的答案，因为Sanjay和Dan H在大多数情况下都回答得很快，而且他们都非常擅长让你找到正确的答案。我认为这是可能的，但我只需要花一些时间来玩它。谢谢你，乔，我在社区中发布了交叉帖子，桑杰回答说，你，瑞克，桑杰，还有所有这些来自SAS的出色的人都很棒。谢谢。你能把答案也作为答案贴在这里吗？嗯@Joe，这不完全是一个答案，但作为答案添加了OK，但仍然不被认为是正确的。