Normal > osteopenic, osteoporotic
means Normal
has higher significant difference than osteopenic
and osteoporotic
?
That means that the outcome value for Normal
is significantly higher than that for either osteopenic
and osteoporotic
, but osteopenic
and osteoporotic
aren't distinguishable statistically. In general, the >
means that the outcome value for the category on the left is statistically distinguishable from and higher than that on the right. Categories that can't be distinguished statistically are separated by ,
(comma).
In R, the results look like the following, [does] that mean Neutral has higher significant difference than Friends? More specifically how do I write this result in πβ€π<π style notation?
What's displayed seems to be the differences in outcome between each pair of categories. In your case all differences except Alone-Neutral
are statistically significant. You need to put the actual outcome values into order first. From what you show, that would seem to be Disliked
highest, Alone
and Neutral
next highest but not distinguished from each other, and all of those higher than Friends
. You could write that as Disliked > Alone, Neutral > Friends
.
Neutral
,Friends
, and so on. ... Some software will report a positive mean difference when the values in the first group are larger, and a negative mean difference when the values in the second group are larger. However, since this function in R is reporting all the mean differences as positive, I suspect this function is not following that convention. $\endgroup$