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view all learning resourcesHello,I am trying to do a factor analysis (PCA) on a large data set. It has 181 columns and 163 rows, values are between -6 and 8. I have started the factor analysis and the eigenvalues and scree plot looks good.Below all the factors it says: "Warning: the Correlation matrix is not positive definite". Can someone help me understand what it means?I try to perform the analysis using Maximum Likeliho...
luinel
I have datasets with many response variables (~15K) and many samples (~7K). I have clustered the samples based on prior knowledge into 10 clusters, and need to define the variables that are characteristic for each. I want to generate a table/matrix that lists all the variables vs the clusters, with the fold change (ratio) in mean response values (each cluster vs all other samples together) with...
genecb
How do I write an If statement (or whatever the right function is) to evaluated when a row's column value = any value in an array?
Example:If( :ColToCheck == [Any of these values] , then 1, else 0 )
BSwid
With JMP often we are asked to roll up raw data, group it by week, month, quarter, year, etc. Then go look for a trend. What are the best practices for dealing with longitudinal data? Data TypeModeling TypeFormatMaybe tricks in graph builder?I'm having trouble getting the graphical output to be both executive presentation friendly AND include an equation that makes sense. For example, it's typ...
BSwid
Hello,I am trying to do a factor analysis (PCA) on a large data set. It has 181 columns and 163 rows, values are between -6 and 8. I have started the factor analysis and the eigenvalues and scree plot looks good.Below all the factors it says: "Warning: the Correlation matrix is not positive definite". Can someone help me understand what it means?I try to perform the analysis using Maximum Likeliho...
luinel
I have datasets with many response variables (~15K) and many samples (~7K). I have clustered the samples based on prior knowledge into 10 clusters, and need to define the variables that are characteristic for each. I want to generate a table/matrix that lists all the variables vs the clusters, with the fold change (ratio) in mean response values (each cluster vs all other samples together) with...
genecb
Hi i want to create a JSL for following table title1Title2Title3stack1stack2stack3..............stack(n-1)stacknACE0.55.0100..........2045.65BDF1.521055.35.........2241 for this table i want to create a script which will create a new table with stacked all columns from stack1 to stack n. then in new table add new column at the end which will put numbers 1,2..25 abd repeat same sequence till end o...
Probe_PE
I have data for two species and two types of leaves. Species A and B, type R and L. I would like to check how species and type of leaves affects for example leaf area. However I have results of area measurements for several leaves assigned to each individual. Because of that I used nest function: Model effects:SpeciesTypeSpecies*typeLeaf number [Individual]But I receive “The model is missing an ef...
Kronika
Okay, so i have to decide whether i should use chi-square or Cochran's Q test for one of my study.If i assume meat as experimental unit (EU) and impose 6 different wood smoke (like apple smoke, cedar smoke, hickory smoke etc.) on EU and consumers (people) act as observational unit (OU). I have 10 consumers and each one will taste each treatment (6 treatments) and respond liking (9 point scale), an...
sharmachetan
One way to select possible number of clusters in hierarchical methods is to identify the relatively large changes in distance as number of clusters change (see table below). When I look at the actual distance measure from the table (clustering history below dendogram), there is a bigger jump from 3 clusters to 4 than from 4 to 5 (smaller), suggesting 4 may be the right decision. However, when you ...
pratyushdash
I have a data set from a two-choice rodent feeding trial. We were testing the effectiveness of 10 deterrents by coating them on seeds and offering them to rodents alongside control seeds that were uncoated. The explanatory variable is which of the 10 deterrents the treatment seed was coated with, and the response variable is the proportion of control seed and treatment seed consumed. The question...
Mananahi
Dear JMP Community, When I run repeated measures ANOVAs with JMP (RMS, with Subject as a random factor), I have noticed that when a certain factor is crossed with Subject, the corresponding DF Den stays independent while the DF Dens for the other factors are put together as “Residual”. Please see Images 1-3 of the attached file on how “DF Den” under “Test Denominator Synthesis” change across imag...
mu
I'm working with a dataset of about 27,000 rows and am trying to use 9 factors to predict a response using the partition function and a decision tree. I'm using both k-means and validation. When I tell JMP to Go, it will split 100-200 times, however the Split History shows me very little improvement after about 20 splits. For what I'm trying to do, I want to back up to the 20th split, but I don'...
NG
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yurimalkova