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    <title>topic Re: Probability plot for log-normal distribution fitting in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Probability-plot-for-log-normal-distribution-fitting/m-p/271993#M52911</link>
    <description>&lt;P&gt;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/16716"&gt;@mtrain&lt;/a&gt;,&lt;/P&gt;
&lt;P&gt;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/7531"&gt;@HadleyMyers&lt;/a&gt;&amp;nbsp;provided you with a solution. However, if your lognormal distribution has a large mean and/or variance, the scaling on the QQ plot usually does not have the familiar custom probability plot that scales the Y axes like custom probability paper (yes I am showing my age, things we used pre graphical calculator/computer days).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I suggest you right click on the column of data you're fitting, select &lt;STRONG&gt;Transform&lt;/STRONG&gt; and use &lt;STRONG&gt;Log&lt;/STRONG&gt;, then &lt;STRONG&gt;Continuous Fit &amp;gt;&amp;nbsp; Fit Normal&lt;/STRONG&gt;.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Below is a screenshot of&amp;nbsp;&lt;STRONG&gt; Analyze &amp;gt; Distribution &amp;gt; Continuous Fit &amp;gt;&amp;nbsp;Fit Normal&lt;/STRONG&gt; of 100 random lognormal(4,2) values transformed with Log. The table with script is attached.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Another suggestsion is to use the QQ plot that Hadley suggested and click on the Y axis of he QQ plot and change Linear to Log.&amp;nbsp;&amp;nbsp;&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="image.png" style="width: 999px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/24498iC56BE1A935C0E4C2/image-size/large?v=v2&amp;amp;px=999" role="button" title="image.png" alt="image.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 10 Jun 2020 21:18:11 GMT</pubDate>
    <dc:creator>gzmorgan0</dc:creator>
    <dc:date>2020-06-10T21:18:11Z</dc:date>
    <item>
      <title>Probability plot for log-normal distribution fitting</title>
      <link>https://community.jmp.com/t5/Discussions/Probability-plot-for-log-normal-distribution-fitting/m-p/271704#M52889</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;Is there an option to view the probability plot when making a log-normal fit with a distribution analysis?&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;</description>
      <pubDate>Fri, 09 Jun 2023 00:17:05 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Probability-plot-for-log-normal-distribution-fitting/m-p/271704#M52889</guid>
      <dc:creator>mtrain</dc:creator>
      <dc:date>2023-06-09T00:17:05Z</dc:date>
    </item>
    <item>
      <title>Re: Probability plot for log-normal distribution fitting</title>
      <link>https://community.jmp.com/t5/Discussions/Probability-plot-for-log-normal-distribution-fitting/m-p/271727#M52894</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;From the red hotspot of beside the name of your column in the Distribution platform choose "Continuous Fit --&amp;gt;Fit lognormal."&amp;nbsp; Then, from red hotspot beside "Fitted Lognormal Distribution," choose "Diagnostic Plots."&amp;nbsp; You then have the option of fitting the P-P and/or Q-Q plots.&amp;nbsp; Is that what you're looking for?&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 10 Jun 2020 08:53:04 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Probability-plot-for-log-normal-distribution-fitting/m-p/271727#M52894</guid>
      <dc:creator>HadleyMyers</dc:creator>
      <dc:date>2020-06-10T08:53:04Z</dc:date>
    </item>
    <item>
      <title>Re: Probability plot for log-normal distribution fitting</title>
      <link>https://community.jmp.com/t5/Discussions/Probability-plot-for-log-normal-distribution-fitting/m-p/271993#M52911</link>
      <description>&lt;P&gt;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/16716"&gt;@mtrain&lt;/a&gt;,&lt;/P&gt;
&lt;P&gt;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/7531"&gt;@HadleyMyers&lt;/a&gt;&amp;nbsp;provided you with a solution. However, if your lognormal distribution has a large mean and/or variance, the scaling on the QQ plot usually does not have the familiar custom probability plot that scales the Y axes like custom probability paper (yes I am showing my age, things we used pre graphical calculator/computer days).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I suggest you right click on the column of data you're fitting, select &lt;STRONG&gt;Transform&lt;/STRONG&gt; and use &lt;STRONG&gt;Log&lt;/STRONG&gt;, then &lt;STRONG&gt;Continuous Fit &amp;gt;&amp;nbsp; Fit Normal&lt;/STRONG&gt;.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Below is a screenshot of&amp;nbsp;&lt;STRONG&gt; Analyze &amp;gt; Distribution &amp;gt; Continuous Fit &amp;gt;&amp;nbsp;Fit Normal&lt;/STRONG&gt; of 100 random lognormal(4,2) values transformed with Log. The table with script is attached.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Another suggestsion is to use the QQ plot that Hadley suggested and click on the Y axis of he QQ plot and change Linear to Log.&amp;nbsp;&amp;nbsp;&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="image.png" style="width: 999px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/24498iC56BE1A935C0E4C2/image-size/large?v=v2&amp;amp;px=999" role="button" title="image.png" alt="image.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 10 Jun 2020 21:18:11 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Probability-plot-for-log-normal-distribution-fitting/m-p/271993#M52911</guid>
      <dc:creator>gzmorgan0</dc:creator>
      <dc:date>2020-06-10T21:18:11Z</dc:date>
    </item>
    <item>
      <title>Re: Probability plot for log-normal distribution fitting</title>
      <link>https://community.jmp.com/t5/Discussions/Probability-plot-for-log-normal-distribution-fitting/m-p/272629#M53023</link>
      <description>Hi Hadley,&lt;BR /&gt;That is what I was looking for but without the confidence interval. But not a big deal.&lt;BR /&gt;Thanks for showing me around.</description>
      <pubDate>Sun, 14 Jun 2020 23:26:40 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Probability-plot-for-log-normal-distribution-fitting/m-p/272629#M53023</guid>
      <dc:creator>mtrain</dc:creator>
      <dc:date>2020-06-14T23:26:40Z</dc:date>
    </item>
    <item>
      <title>Re: Probability plot for log-normal distribution fitting</title>
      <link>https://community.jmp.com/t5/Discussions/Probability-plot-for-log-normal-distribution-fitting/m-p/272630#M53024</link>
      <description>Hi gzmorgan0,&lt;BR /&gt;I agree, making the log transformation is a great way to get the intervals on the plot too. I did this before but was also wondering about getting a plot for the log fit. The PP/QQ do a good job.&lt;BR /&gt;Thanks for the help.</description>
      <pubDate>Sun, 14 Jun 2020 23:31:16 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Probability-plot-for-log-normal-distribution-fitting/m-p/272630#M53024</guid>
      <dc:creator>mtrain</dc:creator>
      <dc:date>2020-06-14T23:31:16Z</dc:date>
    </item>
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