plotting confidence intervals output via SAS lsmeans

[#1]

All,

I have an output SAS data set consisting of multivariate lsmeans and their upper and lower CIs. I can plot the means in graph builder however I need to add the confidence intervals for each mean. Is there a way to do this in JMP? The lsmeans are from a repeated measures analysis using PROC MIXED. I know JMP has the ability to do mixed models but my knowledge of how to translate the SAS model/repeated/random code exactly in JMP is still a bit sketchy.

I welcome your thoughts.

Thanks.

[#2]

How to plot the CIs is somewhat dependent upon what form you have them in.  What is the structure of your JMP data table or can you attach the table for the JMP Community to view?

[#3]

Thank you for the speedy reply. The structure of my JMP data table is exactly the same as the output SAS lsmeans data set, which I have exported to JMP. There is one column of estimates (the means) and for each estimate there is a column with the upper and lower CI. See the attached JMP data table. Non-relevant variables in the original data set have been deleted. Thanks!

https://drive.google.com/open?id=0B94zTjHJfpnIUi1lV1p5bTFYZk0

[#4]

Is this what you are looking for?

Here is the script that is generated from the above display:

Graph Builder(

  Variables(

  X( :DAP ),

  Y( :Estimate ),

  Y( :Lower, Position( 1 ) ),

  Y( :Upper, Position( 1 ) )

  ),

  Elements( Line( X, Y( 1 ), Y( 2 ), Y( 3 ), Legend( 31 ) ) )

);

[#5]

Jim,

Sorry for not being more explicit in how I was plotting the data, but the attached JMP graph selects the variable 'estimate' for the Y-axis (=Canopy Height), DAP for the X-axis, and the variable "Join" is overlaid. I want to create vertical CI bars for each of six mean point data across DAP. The curve lines are only for approximating the shape and are not derived from the mixed model information. Is there is way to code the CI information back into the graph builder script to achieve this?

Thanks!

[#6 · Accepted solution]

Below is a script that adds the error bars as you request;

Names Default To Here( 1 );

dt = Current Data Table();

gb = dt << Graph Builder(

       Size( 922, 752 ),

       Variables( X( :DAP ), Y( :Estimate ), Overlay( :Join ) ),

       Elements( Line( X, Y, Legend( 15 ), Error Bars( "Confidence Interval" ) ) )

);

Report( gb )[Frame box( 1 )] << Add Graphics Script(

       Transparency( 1 );

       For( i = 1, i <= N Rows( dt ), i++,

              from = {};

              to = {};

              topfrom = {};

              topto = {};

              bottomfrom = {};

              bottomto = {};

              Insert Into( to, dt:dap[i] );

              Insert Into( to, dt:upper[i] );

              Insert Into( from, dt:dap[i] );

              Insert Into( from, dt:lower[i] );

              Insert Into( topfrom, dt:dap[i] - 1 );

              Insert Into( topfrom, dt:upper[i] );

              Insert Into( topto, dt:dap[i] + 1 );

              Insert Into( topto, dt:upper[i] );

              Insert Into( bottomfrom, dt:dap[i] - 1 );

              Insert Into( bottomfrom, dt:lower[i] );

              Insert Into( bottomto, dt:dap[i] + 1 );

              Insert Into( bottomto, dt:lower[i] );

              Line( from, to );

              Line( topfrom, topto );

              Line( bottomfrom, bottomto );

       );

);

[#7]

Jim,

Thank you so much for the jsl code. That is what I was aiming for, although the tightly clustered means for this particular data are not really well differentiated by CI bars. Going further, is there code to (1) specify the width of the horizontal fence, and (2) specify color of the bars? An example would suffice, I can edit the code as needed.

Thank you for your excellent help!

[#8]

All you have to do to control the Line Size is to use the Pen Size(); function.

And for the color, you use Pen Color();

You can look up examples in

    Help==>Scripting Index

Just type in to the search field, Pen Size or Pen Color

And Karen's solution is "Very Cool"!

[#9]

Jim has provided you a jsl solution - I being not so proficient in jsl can offer you a non-jsl solution:

1. Tables>Stack>

2. select estimate, Lower, Upper and click stack columns, click ok

3. Graph Builder from the new table

4. Data = Y

5. DAP = X

6. Overlay = Join

Now the trick:  off to the left in there are more options under the column list

7. Summary statistic = median

8. Error Bars = range

9. use the line to connect

By stacking the data you have plotted 3 points (LCL, Est, UCL) for each group. The summer statistic plots the median (the middle point which in your case is your estimate) and then the range puts bars between the minimum value (you lower confidence limit) and the max (your upper confidence limit). To control colors you can use the value color column property on the join column or you can right click on the legend in graph builder and change colors. I like the value color property as it is easy to control and then stays with the data table.

[#10]

Karen and Jim:

Your help is much appreciated!