I am working on a linear mixed model and am attempting to run one on the same data in r and spss. I'm using a treatment with two levels, looking at 10 different
I have the following spss syntax: DO IF SYSMIS(V5). COMPUTE V5 = LAG(V5). END IF. EXE. It works fine. However I'd like to repeat the same process for severa
I have a string variable created from a checkbox questions (Which of the following assets do you own?) I am trying to create individual binary variables for eac
I want to run Mann-Whitney-U test. But R's wilcox.test(x~y, conf.int=TRUE) does not give such statistics as N, Mean Rank, Sum of Ranks, Z-value for both factors
I want to run Mann-Whitney-U test. But R's wilcox.test(x~y, conf.int=TRUE) does not give such statistics as N, Mean Rank, Sum of Ranks, Z-value for both factors
I transformed my stat data with logarithm, square root,... but my dependent variable doesn't achieve normality distribution yet. Then, I know that the Box-Cox