Non-parametric alternative to Two-way repeated measures ANOVA

Hi everyone,

I have searched extensively on the forum and online for an answer to my issue but I've struggled to get a definitive answer.

My study consists of 10 subjects and is a repeated measures design. There are three conditions (high intensity exercise, low intensity exercise and control [no exercise]). I measured the concentration (continuous data) of a protein in the blood over time in each condition (pre-exercise, 0h, 1h, 2h, 4h and 7h post-exercise). Therefore, I planned to use a 3 x 6 (condition x time) repeated measures ANOVA for the statistical analysis.

However, the data are massively skewed i.e. not normally distributed so I have been looking into non-parametric alternatives. The only solution I have found being suggested is Friedman's test, however this appears to be an alternative for a one-way repeated measures ANOVA. Can anyone provide some knowledge on what test should be used?

Many thanks