How can I test contrasts and interaction contrasts in a mixed REPEATED model in JMP Pro ?
How can I test contrasts and interaction contrasts in a mixed REPEATED model in JMP Pro ?

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view all learning resourcesHow can I test contrasts and interaction contrasts in a mixed REPEATED model in JMP Pro ?
Hi,I have concatenated CSV files thanks to script I have found in a discussion.There is to table result that I would like to join.The first table is a 19 779 lines and 34 columns data table.The second table is a 1 972 100 lines and 8 columns data table.The comon column is the "NumeroCourbe".I would like to get the 34 columns of the firts file joined to the 8 columns of the second file.But the data...
On JMP,How do it calculate the parameters of option in RANDOM FOREST(for example The max number of branches in tree)?And,can the parameters of Initial setting take advantage result(example:AUC of ROC Curve )?
How do I access/open a ".sta" file (a Statistica data file) from JMP? Any suggestions?
In a vertically stacked set of graphs (created using graph builder) is there a way to script x-axes to all the graphs? I have ~15 graphs one above the other and only one x-axis at the very bottom. Thank you!!
Hi,I have concatenated CSV files thanks to script I have found in a discussion.There is to table result that I would like to join.The first table is a 19 779 lines and 34 columns data table.The second table is a 1 972 100 lines and 8 columns data table.The comon column is the "NumeroCourbe".I would like to get the 34 columns of the firts file joined to the 8 columns of the second file.But the data...
On JMP,How do it calculate the parameters of option in RANDOM FOREST(for example The max number of branches in tree)?And,can the parameters of Initial setting take advantage result(example:AUC of ROC Curve )?
How do I access/open a ".sta" file (a Statistica data file) from JMP? Any suggestions?
In a vertically stacked set of graphs (created using graph builder) is there a way to script x-axes to all the graphs? I have ~15 graphs one above the other and only one x-axis at the very bottom. Thank you!!
Hi everyone, need some help..From JMP sample data (Raleigh Temps) shown below, I had added the last 2 columns and made a calculation in excel based on the formula for "Delta in Temp" by month as "=C2-$C$2, =C3-$C$2, =C4-$C$2 and so on.." and for "% Delta in Temp" as "=G2/C2" (% formatted).
Now, I would like to do the same in JMP. Could someone show me how to make the formula or script in JMP?...
Hi all,Till now I was using "Panel Box" and "Close" local data filter command for the invisible but functioning local data filter. Something like below closes the data filter it is visible by jmp graph but invisible by the HTML5 output (magical).nw[Panel Box( 1 )][Outline Box( "Local Data Filter" )] << Close( 1 );nw[Panel Box( 2 )][Outline Box( "Local Data Filter" )] << Close( 1 );
This time I use ...
I don't know if anybody using the Interactive HTML output as intensive as me but Fit Y by X platform needs an upgrade about converting the jmp language to HTML5 language. Here is an example comparing the outputs of both. Almost none of the axis and font and colour settings seem to be carried over.
Is there a way to control the formatting of the exported PowerPoint deck? The exported file needs so much clean up I am not sure if it saves any time over cutting and pasting. I made a simple journal from the big class data table and a 1 page journal turns into a 5 page PowerPoint. The resulting PowerPoint is attached.
A question came up regarding Point-Biserial correlation coefficient .. Here are the references that were cited. Here are the references:1. http://www.andrews.edu/~calkins/math/edrm611/edrm13.htm#POINTB)2. http://en.wikipedia.org/wiki/Point-biserial_correlation_coefficientI am interested in knowing how this can be done in JMP.ThanksPrakash
Hi, I have a question regarding the post-hoc t-tests in JMP. I run a repeated measures ANOVA with one random and two fixed factors. The two-way interaction between the fixed factors is included. (Y=random(A) + A + B + A*B). Following a significant A*B effect, I use the 'effect details' option to do post-hoc t-tests, Bonferroni-corrected for the number of comparisons. But. When I chose 'detailed co...
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