Hi, I do not want to make a plot, I try to make an output table in R, (in GUI like Stata this is trivially easy task) with regard to SO OP question. As I mentioned, in paper I would not do this, but out of curiosity I use R this time trying to create it. If in R this is trivial task as well, could you please show how to do it ? After googling a lot I did not find solution. regards, Jacek
niedz., 25 lut 2024 o 17:00 Bert Gunter <bgunter.4...@gmail.com> napisał(a): > It is trivial in R to add whatever decorations to a plot that you would > like, but that requires that you go beyond point and click production of > graphics and write actual code. If you are unwilling or unable to do this, > you are stuck with whatever various packaged graphics functionality > provides.So you might want to search on "interaction plots for linear > models in R" or similar at rseek.org or in your favorite web search > engine if you haven't already done so. My minimal efforts brought up lots > of hits, though none may be useful for your concerns, especially, as has > already been pointed out, as your query doesn't seem to make much sense > statistically. > > Cheers, > Bert > > > On Sun, Feb 25, 2024 at 7:46 AM Jacek Kownacki <samsungx1...@gmail.com> > wrote: > >> Hi All, >> I stumbled upon some topics regarding interactions in anova and regression >> and packages for tabulating and visualizations the results of them. >> Here we are: >> >> https://stackoverflow.com/questions/77933272/how-to-add-a-reference-level-for-interaction-in-gtsummary-and-sjplot/77935742#77935742 >> , >> >> https://stackoverflow.com/questions/78016795/how-to-add-reference-levels-for-interaction-in-r?noredirect=1&lq=1 >> . >> I was wondering because I usually use GUI software and these questions did >> not get answers, if from a technical point of view >> how to do it, using these (sjPlot, gtsummary) or other ways to make such >> tables, inserting the reference levels of these mentioned interactions. >> This is not likely to be used in publications (including three base >> levels), but from the point of view of solving the topics this questions >> have interested me. >> I tried myself to make it happen, but so far without success. >> I recall this reprex based on SO: >> >> set.seed(1000) >> my_data <- rbind( >> data.frame(time = "Pre", treatment = "Control", response = >> rnorm(100, mean=1)), >> data.frame(time = "Pre", treatment = "Treatment", response = >> rnorm(100, mean=2)), >> data.frame(time = "Post", treatment = "Control", response = >> rnorm(100, mean=1)), >> data.frame(time = "Post", treatment = "Treatment", response = >> rnorm(100, mean=2)) >> ) %>% mutate(time = factor(time, levels = c("Pre", "Post"))) >> %>%mutate(treatment = factor(treatment, levels = c("Control", >> "Treatment"))) >> model3 <- lm(response ~ time * treatment, data = my_data) >> >> Thanks, >> Jacek >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
