Graphic representation of data I conducted exploratory analysis of my data and got Mean and standard deviation values from the original data and plotted the data using boxplots.
I conducted regression models (GLM and GLMM) on the data (which allow to estimate marginal means) and I would like to know what I have to report, if the "raw" mean and SD or the values estimated by the model. Or if I should report both, for example the "raw" in a table and the estimated in a boxplot or vice-versa.
Thank you!
 A: Summary statistics of the raw data should be reported by default. Whether it is in tabular or graphical form depends on the complexity of the data and the pricing of printing each table and illustration. In your case, if you have already reported mean and SD, and the box-plot really didn't show anything unique (e.g. no skewness, no visible outliers, etc.), then I'd give that box-plot a lower priority to be included. If the box-plot indeed points out something that would render the mean and SD not as representative, then you may consider including both, or better yet, revisiting the possibility of replacing mean and SD with other more robust summary statistics.
Tabulating/visualizing the results of regressions is a good idea, as long as the information is not verbatim included in the text. It'd also be important to closely incorporate the table/illustration with the Results and Discussion section.
In a nut shell, clarity and efficiency always come first. Tradition/convention varies journal by journal and reviewer by reviewer and it's futile to look for a golden formula.
