Hi @PGStats , Thank you so much. Wilcoxon was exactly what I was looking for. And also, thank you suggesting my second question had to do with interval-censored data. I think this is exactly what my professor meant. MJ ... View more

Hi @ballardw    It is a good question what test I want to run. So far I have been using PROC GLM, to determine p-value. I am happy to keep on with that if it could apply to the mixing of datasets, but really I will use what ever procedure works better.   About the excel-file, I understand. Here is a excerpt from my main dataset: site subplot number species NI 1 1 PA NI 1 2 PA NI 1 3 PA NI 1 4 PA NI 1 5 PS NI 1 6 L NI 1 7 PA NI 1 8 PA NI 1 9 PA NI 1 10 PA NI 1 11 PA NI 1 12 PA NI 1 13 AA NI 1 14 PA NI 1 15 PA NI 1 16 PA NI 1 17 PA NI 1 18 PA NI 1 19 PA NI 2 1 PA NI 2 2 PA NI 2 3 PA NI 2 4 PA NI 2 5 PA NI 2 6 PA NI 2 7 PA This dataset contains 1186 observations (29 subplots my first site and 15 in the second site).  For each of these subplots I have noted in a separate dataset which species the two nearest large trees are.  This dataset looks like this: site subplot oneandtwo species NI 1 1 PS NI 1 2 PS NI 2 1 PS NI 2 2 PS NI 3 1 PS NI 3 2 PS NI 4 1 PS NI 4 2 PS NI 5 1 PS NI 5 2 PS NI 6 1 PS3 NI 6 2 PS NI 7 1 PS NI 7 2 PS NI 8 1 PA NI 8 2 PA NI 9 1 PS NI 9 2 PS NI 10 1 PS NI 10 2 PS NI 11 1 PS NI 11 2 PS NI 12 1 PS NI 12 2 PS NI 13 1 PS3 NI 13 2 L NI 14 1 PS NI 14 2 PS NI 15 1 PS NI 15 2 PS NI 16 1 PS NI 16 2 PS NI 17 1 PS NI 17 2 PS NI 18 1 PS NI 18 2 PS NI 19 1 L NI 19 2 PS NI 20 1 PS NI 20 2 PS NI 21 1 PS NI 21 2 PS NI 22 1 PS3 NI 22 2 PA NI 23 1 PS NI 23 2 PS NI 24 1 PS NI 24 2 PS NI 25 1 PS NI 25 2 PS3 NI 26 1 PS NI 26 2 PS NI 27 1 PS NI 27 2 PS NI 28 1 PS NI 28 2 PS NI 29 1 PS3 NI 29 2 PS P 1 1 PS P 1 2 PS P 2 1 L P 2 2 L P 3 1 PS P 3 2 PA P 4 1 PS P 4 2 PA P 5 1 PS P 5 2 PS P 6 1 L P 6 2 L P 7 1 L P 7 2 PS P 10 1 L P 10 2 L P 12 1 L P 12 2 PS P 13 1 PA P 13 2 PS P 14 1 L P 14 2 L P 15 1 L P 15 2 L P 16 1 L P 16 2 L P 17 1 PA P 17 2 PS P 18 1 L P 18 2 L So in subplot 1 there is most species PA, but also the species PS amongst the 19 trees that were in that subplot (main dataset). The two nearest large trees to subplot one is both species PS. I want to prove (or disprove) that there is a connection between the dispersion of species within a subplot (the regeneration) and the species of the (seed-dispersing) large nearby trees. I don't know how to mesh these two datasets in SAS though. The main dataset have observations varying between 11 and 100 depending on the subplot. The secondary dataset always have two observations for each subplot (the two trees). So that is my question. I hope I have made myself clear.   Best regards   ... View more

Thank you. ... View more

  Non-intervention Planted 0 54.48 68.33 1 26.12 16.25 2 19.3 15.42 I want to compare these numbers to test if they are significantly different, meaning 1) is 54.48 % significantly different from 68.33 % 2) is 26.12 % significantly different from 16.25 % 3) is 19.3 % significantly different from 15.42 %. I does not make sense to compare the frequencies that created these percentages since the non-intervention have 900 observations and the Planted have 250 observations. I did that and it says everything is significantly different (<0.0001).  What I want to do may not be possible, though. I am aware of that.   Maja ... View more

Yes, I do mean percentages. Because the difference in the size of datasets will give me a significant difference between the frequancy of sites. The number of observations in the non-intervention is approx. 900 while it is 250 in the planted. So I will, as an example, have 300 observations of severity 0 in the non-intervention, but only 50 in the planted, though the percentages are not far apart. Is is possible to do what @PaigeMiller did (because that works), only with percentages?   Best regards ... View more

Hi    Thank you for your answers.  I might be overthinking the fact that my data is not normally distributed, but I will consider doing the Wilcoxon test. That seems like a winner. Thank you @Ksharp and others for response.   Best regards Maja ... View more

Hi @PaigeMiller  Thank you for responding.   I checked for normality of my residuals (I think) using PROC REG. These are my graphs: I know the plots are ideally supposed to be scattered like a cloud, and even more ideally also centered around zero - no pattern should emerge. I do feel like patterns emerge in these graphs. Would it be a correct assumption that my residuals are not normally distributed? And in that case, which test should I use instead?   Best regards   Maja   ... View more

This worked! When I added numx12. to my numerical variables all the procs worked - Thank you. ... View more

Hi and thank you for responding. When I delete the $ all values that are not decimal-numbers disapear from these columns - as such:   ... View more