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Is the anyway to get the JMP last login are last used details in JMP portal?
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Hello, I am wondering how I can calculate a Cohen's d effect size from my mixed model output (attached), especially in the case of an interaction effect? I have seen some online resources saying to use the least squares mean difference divided by the model root mean square error in order to do so for main effects. However, when doing this, I sometimes get an effect size that appears inflated based...
When I zoom into a Distribution Normal Quantile Plot, the y-axis will disappear. This makes it difficult to determine the exact quantile of a value. Is this a bug?
I am using JMP 19.1.0, Windows 11 Pro 25H2.
Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
// Normal vertical axis on Normal Quantile Plot.
dt << Distribution(
Continuous Distribution(
Column( :weight ),
...
I have a graph created by graph builder and a column in the data contains a constant value that I'd like to automatically add as a reference line to the graph. Adding the column to the plot axis gives me something (green vertical below) but it's not great looking, any better ideas?
In JMP Pro version 18 (Windows 10 Pro) I've selected a different default color for my histograms under the Distribution Platform, but said histograms appear to ignore this preference and appear with the default (somewhat blah) color. What am I doing wrong (if anything)? It works fine on my Mac (which I rarely use).
sfigard
Is the anyway to get the JMP last login are last used details in JMP portal?
Hello, I am wondering how I can calculate a Cohen's d effect size from my mixed model output (attached), especially in the case of an interaction effect? I have seen some online resources saying to use the least squares mean difference divided by the model root mean square error in order to do so for main effects. However, when doing this, I sometimes get an effect size that appears inflated based...
When I zoom into a Distribution Normal Quantile Plot, the y-axis will disappear. This makes it difficult to determine the exact quantile of a value. Is this a bug?
I am using JMP 19.1.0, Windows 11 Pro 25H2.
Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
// Normal vertical axis on Normal Quantile Plot.
dt << Distribution(
Continuous Distribution(
Column( :weight ),
...
In JMP Pro version 18 (Windows 10 Pro) I've selected a different default color for my histograms under the Distribution Platform, but said histograms appear to ignore this preference and appear with the default (somewhat blah) color. What am I doing wrong (if anything)? It works fine on my Mac (which I rarely use).
sfigard
Hi, I just lost half a day of work because the Autosave timer I had set in JMP18 was set to the default of 0 in JMP 19. Can the installer not just search (or ask the user) for the previous JMP installation config?
Hello, I am wondering how I can calculate a Cohen's d effect size from my mixed model output (attached), especially in the case of an interaction effect? I have seen some online resources saying to use the least squares mean difference divided by the model root mean square error in order to do so for main effects. However, when doing this, I sometimes get an effect size that appears inflated based...
[Environment]
Version: JMP(r) Student Edition 19.1.0 (914688)
License: For Academic Use Only (Expires: 2027/04/13)
OS: Microsoft Windows 11 Home (10.0.26200.0)
[Inquiry] Regarding the procedure for performing PLS Discriminant Analysis (PLS-DA)
I am attempting to perform a PLS Discriminant Analysis (PLS-DA) using JMP Student Edition, as I understand this feature is supported in this edition. I ...
Why don't all three of these return their unevaluated argument like the first one does? Is there a way to make the last two work like the first? Inside the function, e is still unevaluated, this seems to happen when the result is returned.
names default to here(1);
ns = New Namespace("n");
foo = function({e}, Name Expr(e) );
ns:bar = function({e}, Name Expr(e) );
show( foo( expr( notavar...
For categorical responses Partition has the response rates that are slightly biased away from zero to avoid having attributed probabilities of zero. I would like to know how to calcurate the biased probabilities.
Hi, I am trying to analyze calcium transient data from cardiomyocytes. I moved to JMP because Prism cannot do a two way ANOVA on nested data but I cannot figure out how to run this analysis. I have 4 experimental groups (WT SHAM, KO SHAM, WT OVX, KO OVX) across two factors (genotype (WT/KO) and surgery (SHAM/OVX)) but I don't know how to add these variables prior to running analyses. For each anim...
Graph Builder makes it easy to interactively add map images and boundaries to graphs to give visual...
Date: Thursday, May 14Time: 1:00–2:00 p.m. ETRegistration: FREE Whether you've just d...
Duration: 90 minutesRegistration: FREEHosted via Zoom This online workshop is for beginnin...
Este seminario web se presenta en español. Tanto si acaba de descargar la prueba gratuita de 30 días...