I tried swapping the 2 variables, or. You'll either have to use. What's happening is that your data are cast as factors, but not all levels of that factor appear in your data.
Error grouping factor must have exactly 2 levels · Issue 559
Dear nikul, i think the error message is pretty clear:
There are two primary ways to solve this issue:
Here's how to perform wilcoxon test on column 4 grouping by value library(dplyr) wilcox.test( filter(df, visit==1)$cd38, filter(df, visit==9)$cd38, paired=true) share Here's a funny error result: First and foremost.if you invoke. If you want to use var.test() on these data, you will have to split swimspeed into two categories, e.g.
> > > myfun(data, 'varname') > > levels = 2 > > error in t.test.formula(data[[nam[v]]] ~ data[[g]]) : Other users reply with links to stackoverflow and explanations of. This is not the first time this has happened to me, and i can't find a solution on the internet. Grouping factor must have exactly 2 levels.
Grouping factor must have exactly 2 levels.
A reply suggests checking the faq and the data structure for a minimal reproducible example. > grouping factor must have exactly 2 levels > >. When i use str (generation),. I want to compare the size of a morphological structure between two age groups (which i call bw and brownish), i'm sure i only have these two categories and there are no.
A user asks for help with an error message when using cohensd function in shiny r. This error can be frustrating, especially if you're not sure what it. Grouping factor must have exactly 2 levels. Reduce the number of levels in the grouping factor.
Here's a funny error result:
Reducing the number of unique levels in the grouping factor avoids this error. Grouping factor must have exactly 2 levels and your factor group has three levels: > grouping factor must have exactly 2 levels in this instance, you are working with a matrix, so you need supply the two column vectors explicitly:
