JMP Genomics Starter | Predictive Modeling | Predictive Modeling Utilities

Click on a button corresponding to a predictive modeling utility. Refer to the table below for guidance.

Standardizing numerically coded genotypes to have a genetic mean of zero and a genetic variance of one. Transposing a tall SAS data set and its corresponding Experimental Design Data Set (EDDS) into one wide SAS data set Transposing a wide SAS data set into one tall SAS data set and an Experimental Design Data Set (EDDS) Projecting data from a secondary data set onto the principal component axes from a primary oneTip: This is useful for aligning data from two different experiments or for preparing data for predictive modeling. Calculating and adding a column of survival deviance residuals to a data set and plotting their multivariate correlationsSee Predictive Modeling for other subcategories.