Use scale_x_continuous() and specify your desired breaks On Tue, Dec 12, 2023, 4:19 PM varin sacha <varinsa...@yahoo.fr> wrote:
> Dear Ben, > Dear Daniel, > Dear Rui, > Dear Bert, > > Here below my R code. > I really appreciate all your comments. My R code is perfectly working but > there is still something I would like to improve. The X-axis is showing > 2012.5 ; 2015.0 ; 2017.5 ; 2020.0 > I would like to see on X-axis only the year (2012 ; 2015 ; 2017 ; 2020). > How to do? > > > ######### > library(ggplot2) > > df=data.frame(year= c(2012,2015,2018,2022), score=c(495,493, 495, 474)) > > ggplot(df, aes(x = year, y = score)) + geom_point() + geom_smooth(method = > "lm", formula = y ~ x) + > labs(title = "Standard linear regression for France", x = "Year", y = > "PISA score in mathematics") + > scale_y_continuous(limits=c(470,500),oob=scales::squish) > ######### > > > > > > > > > > Le lundi 11 décembre 2023 à 23:38:06 UTC+1, Ben Bolker <bbol...@gmail.com> > a écrit : > > > > > > > > On 2023-12-11 5:27 p.m., Daniel Nordlund wrote: > > On 12/10/2023 2:50 PM, Rui Barradas wrote: > >> Às 22:35 de 10/12/2023, varin sacha via R-help escreveu: > >>> > >>> Dear R-experts, > >>> > >>> Here below my R code, as my X-axis is "year", I must be missing one > >>> or more steps! I am trying to get the regression line with the 95% > >>> confidence bands around the regression line. Any help would be > >>> appreciated. > >>> > >>> Best, > >>> S. > >>> > >>> > >>> ############################################# > >>> library(ggplot2) > >>> df=data.frame(year=factor(c("2012","2015","2018","2022")), > >>> score=c(495,493, 495, 474)) > >>> ggplot(df, aes(x=year, y=score)) + geom_point( ) + > >>> geom_smooth(method="lm", formula = score ~ factor(year), data = df) + > >>> labs(title="Standard linear regression for France", y="PISA score in > >>> mathematics") + ylim(470, 500) > >>> ############################################# > >>> > >>> ______________________________________________ > >>> 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. > >> Hello, > >> > >> I don't see a reason why year should be a factor and the formula in > >> geom_smooth is wrong, it should be y ~ x, the aesthetics envolved. > >> It still doesn't plot the CI's though. There's a warning and I am not > >> understanding where it comes from. But the regression line is plotted. > >> > >> > >> > >> ggplot(df, aes(x = as.numeric(year), y = score)) + > >> geom_point() + > >> geom_smooth(method = "lm", formula = y ~ x) + > >> labs( > >> title = "Standard linear regression for France", > >> x = "Year", > >> y = "PISA score in mathematics" > >> ) + > >> ylim(470, 500) > >> #> Warning message: > >> #> In max(ids, na.rm = TRUE) : no non-missing arguments to max; > >> returning -Inf > >> > >> > >> > >> Hope this helps, > >> > >> Rui Barradas > >> > >> > >> > > After playing with this for a little while, I realized that the problem > > with plotting the confidence limits is the addition of ylim(470, 500). > > The confidence values are outside the ylim values. Remove the limits, > > or increase the range, and the confidence curves will plot. > > > > Hope this is helpful, > > > > Dan > > > > Or use + scale_y_continuous(limits = c(470, 500), oob = scales::squish) > > > ______________________________________________ > 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.