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    <title>topic Re: How to plot the estimates (fixed terms) of a linear mixed model in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/365971#M61548</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/958"&gt;@ron_horne&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you so much for your suggestions. I can see you are using JMP Pro and unfortunately I don't have access to that version.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have tried the Factor profiling but I am not sure I can extract standardized coeff from single and crossed fixed factors from there?&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Factor Profiling.jpg" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/31086iE5068F9F7392AF34/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Factor Profiling.jpg" alt="Factor Profiling.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt; I also don't have access to Effect Screening&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Effect screening.jpg" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/31087i4953BAE98170AFD2/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Effect screening.jpg" alt="Effect screening.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;And in my version I don't have access to STD Beta under columns in the Parameter Estimates.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Columns STD Beta.jpg" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/31088i99A450DAF0DBF501/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Columns STD Beta.jpg" alt="Columns STD Beta.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt; &lt;/P&gt;&lt;P&gt;Would you have any other suggestions?&lt;/P&gt;</description>
    <pubDate>Mon, 08 Mar 2021 04:38:28 GMT</pubDate>
    <dc:creator>Catarina</dc:creator>
    <dc:date>2021-03-08T04:38:28Z</dc:date>
    <item>
      <title>How to plot the estimates (fixed terms) of a linear mixed model</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/365809#M61528</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have regular JMP (no Pro) and have used a linear mixed model using the REML option having as fixed terms 3 single and 3 crossed terms. All single terms used were nominal with 4, 3 and 2 levels respectively. I want to plot the estimates (fixed terms) as a standardized coefficient with respective associated 95%CI as significance level. However, I am unsure in the output where (or if) I can find this information (i.e. standardized estimate coeff of each fixed-term and associated 95%CI so I can plot them in a graph)? Under parameter estimates I get that information but for each fixed-term level, whereas I want the standardized coefficient per fixed-term and not per level within each term. I hope it makes sense!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you!&lt;/P&gt;</description>
      <pubDate>Sun, 11 Jun 2023 11:11:46 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/365809#M61528</guid>
      <dc:creator>Catarina</dc:creator>
      <dc:date>2023-06-11T11:11:46Z</dc:date>
    </item>
    <item>
      <title>Re: How to plot the estimates (fixed terms) of a linear mixed model</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/365865#M61536</link>
      <description>&lt;P&gt;Hi &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/25390"&gt;@Catarina&lt;/a&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;did you try the Factor profiling menu under the red triangle as in the picture. it has a few options and from them there are extra options.&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ron_horne_0-1615123784661.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/31067i3A01505E14AC9FC2/image-size/medium?v=v2&amp;amp;px=400" role="button" title="ron_horne_0-1615123784661.png" alt="ron_horne_0-1615123784661.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;otherwise, all the different estimates of the model could be extracted from the effect screening menu as in the picture:&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ron_horne_1-1615124051017.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/31068i233CDABDD1FEEAAC/image-size/medium?v=v2&amp;amp;px=400" role="button" title="ron_horne_1-1615124051017.png" alt="ron_horne_1-1615124051017.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;another way is to right click on the parameter estimates column go to Columns &amp;gt;&amp;gt; STD Beta&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ron_horne_2-1615124158597.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/31069i031283E1EEC7FF5A/image-size/medium?v=v2&amp;amp;px=400" role="button" title="ron_horne_2-1615124158597.png" alt="ron_horne_2-1615124158597.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;hope it works.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 07 Mar 2021 13:36:56 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/365865#M61536</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2021-03-07T13:36:56Z</dc:date>
    </item>
    <item>
      <title>Re: How to plot the estimates (fixed terms) of a linear mixed model</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/365971#M61548</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/958"&gt;@ron_horne&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you so much for your suggestions. I can see you are using JMP Pro and unfortunately I don't have access to that version.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I have tried the Factor profiling but I am not sure I can extract standardized coeff from single and crossed fixed factors from there?&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Factor Profiling.jpg" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/31086iE5068F9F7392AF34/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Factor Profiling.jpg" alt="Factor Profiling.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt; I also don't have access to Effect Screening&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Effect screening.jpg" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/31087i4953BAE98170AFD2/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Effect screening.jpg" alt="Effect screening.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;And in my version I don't have access to STD Beta under columns in the Parameter Estimates.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Columns STD Beta.jpg" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/31088i99A450DAF0DBF501/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Columns STD Beta.jpg" alt="Columns STD Beta.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt; &lt;/P&gt;&lt;P&gt;Would you have any other suggestions?&lt;/P&gt;</description>
      <pubDate>Mon, 08 Mar 2021 04:38:28 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/365971#M61548</guid>
      <dc:creator>Catarina</dc:creator>
      <dc:date>2021-03-08T04:38:28Z</dc:date>
    </item>
    <item>
      <title>Re: How to plot the estimates (fixed terms) of a linear mixed model</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366029#M61561</link>
      <description>&lt;P&gt;Hi &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/25390"&gt;@Catarina&lt;/a&gt; ,&lt;/P&gt;
&lt;P&gt;i am a bit surprised to hear these are pro features. i hope someone else in the forum can comment on that.&lt;/P&gt;
&lt;P&gt;in any case, you should be able to standardize your variables prior to the analysis and run the regression. then the coefficients would be standardized.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 08 Mar 2021 11:06:51 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366029#M61561</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2021-03-08T11:06:51Z</dc:date>
    </item>
    <item>
      <title>Re: How to plot the estimates (fixed terms) of a linear mixed model</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366030#M61562</link>
      <description>&lt;P&gt;Thanks&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/958"&gt;@ron_horne&lt;/a&gt;. The model I am using has nominal factors as fixed effects as well as crossed:&lt;/P&gt;&lt;P&gt;plant richness (1, 2, 3, 4);&lt;/P&gt;&lt;P&gt;Mic_dil (D0, D2, D6);&lt;/P&gt;&lt;P&gt;Drought (W, D);&lt;/P&gt;&lt;P&gt;plant richness x mic_dil;&lt;/P&gt;&lt;P&gt;drought x plant richness;&lt;/P&gt;&lt;P&gt;drought x mic_dil.&lt;/P&gt;&lt;P&gt;The model also has random effects.&lt;/P&gt;&lt;P&gt;If they would be continuous I would understand how to standardize them but I am not sure how to in this case? Thank you for your suggestion.&lt;/P&gt;</description>
      <pubDate>Mon, 08 Mar 2021 11:25:05 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366030#M61562</guid>
      <dc:creator>Catarina</dc:creator>
      <dc:date>2021-03-08T11:25:05Z</dc:date>
    </item>
    <item>
      <title>Re: How to plot the estimates (fixed terms) of a linear mixed model</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366033#M61563</link>
      <description>&lt;P&gt;Hi &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/25390"&gt;@Catarina&lt;/a&gt; ,&lt;/P&gt;
&lt;P&gt;i have checked and you are right. the options i suggested are not available with mixed models.&lt;/P&gt;
&lt;P&gt;you can convert your categorical variables to indicators as in the picture. once you have indicators they can be standardized.&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ron_horne_0-1615203751747.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/31092i1E6EF19B4278293C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="ron_horne_0-1615203751747.png" alt="ron_horne_0-1615203751747.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;will that work?&lt;/P&gt;
&lt;P&gt;do not forget to standardize the dependent variable as well.&lt;/P&gt;</description>
      <pubDate>Mon, 08 Mar 2021 11:44:46 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366033#M61563</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2021-03-08T11:44:46Z</dc:date>
    </item>
    <item>
      <title>Re: How to plot the estimates (fixed terms) of a linear mixed model</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366041#M61565</link>
      <description>&lt;P&gt;That will convert each level within each categorical variable into a column. I guess the output would resemble the Parameter Estimates table originally given by JMP where the last level for each term is dropped. However, what I would like to produce as a final result is something similar to this (as an example):&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ScreenShot001.jpg" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/31096i9C6AEACAA7F18D1C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="ScreenShot001.jpg" alt="ScreenShot001.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;But without the distinction of levels within each fixed-term. I would like to get just the 6 fixed-terms std coeff so I can plot them with 95%CI.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 08 Mar 2021 12:15:28 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366041#M61565</guid>
      <dc:creator>Catarina</dc:creator>
      <dc:date>2021-03-08T12:15:28Z</dc:date>
    </item>
    <item>
      <title>Re: How to plot the estimates (fixed terms) of a linear mixed model</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366056#M61569</link>
      <description>&lt;P&gt;I am confused. How do you standardize nominal or ordinal variables? Also, there is a parameter for each level, so what single estimate do you expect?&lt;/P&gt;</description>
      <pubDate>Mon, 08 Mar 2021 13:53:22 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366056#M61569</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2021-03-08T13:53:22Z</dc:date>
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    <item>
      <title>Re: How to plot the estimates (fixed terms) of a linear mixed model</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366782#M61657</link>
      <description>&lt;P&gt;I was hoping to get a parameter estimate for the fixed effect and not for the each level within each fixed effect. Something similar to a F statistic. But probably that does not make sense?&lt;/P&gt;</description>
      <pubDate>Wed, 10 Mar 2021 12:04:46 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366782#M61657</guid>
      <dc:creator>Catarina</dc:creator>
      <dc:date>2021-03-10T12:04:46Z</dc:date>
    </item>
    <item>
      <title>Re: How to plot the estimates (fixed terms) of a linear mixed model</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366966#M61679</link>
      <description>&lt;P&gt;the only way this can make sense is if the effect is binary. then, there is just one coefficient....&lt;/P&gt;
&lt;P&gt;I must admit that i have seen over the years people reducing multi categorical effects to binary for simplicity. in many cases without disclosing it properly and as part of bad practice overall.&lt;/P&gt;</description>
      <pubDate>Wed, 10 Mar 2021 23:21:14 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-plot-the-estimates-fixed-terms-of-a-linear-mixed-model/m-p/366966#M61679</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2021-03-10T23:21:14Z</dc:date>
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