In this case the horizontal lines of the errorbars go output the limits. And are therefore not displayed. Use coord_cartesian(xlim = 0:1) instead of setting the limits in scale_x_continuous().
ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey 2015-04-23 12:23 GMT+02:00 Axel Urbiz <axel.ur...@gmail.com>: > Thanks Thierry. So if a variable x = a, and the limits for x are [a, a+b], > is that data point considered outside the limits? > > Thanks, > Axel. > > On Thu, Apr 23, 2015 at 6:17 AM, Thierry Onkelinx < > thierry.onkel...@inbo.be> wrote: > >> The limits are more narrow than the data. ggplot2 treats data outside the >> limits as NA. >> >> ir. Thierry Onkelinx >> Instituut voor natuur- en bosonderzoek / Research Institute for Nature >> and Forest >> team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance >> Kliniekstraat 25 >> 1070 Anderlecht >> Belgium >> >> To call in the statistician after the experiment is done may be no more >> than asking him to perform a post-mortem examination: he may be able to say >> what the experiment died of. ~ Sir Ronald Aylmer Fisher >> The plural of anecdote is not data. ~ Roger Brinner >> The combination of some data and an aching desire for an answer does not >> ensure that a reasonable answer can be extracted from a given body of data. >> ~ John Tukey >> >> 2015-04-23 12:06 GMT+02:00 Axel Urbiz <axel.ur...@gmail.com>: >> >>> Hello, >>> >>> I'm getting a warning message from the reproducible example below. >>> >>> Why would geom_errorbar() remove 2 cases in this case? Both upper and >>> lower >>> limits of the error bar contain var1 and are within the axis limits. >>> >>> >>> df <- data.frame(var1 = seq(0, 1, 0.1), var2 = seq(0, 1, 0.1)) >>> df$ll <- ifelse(df$var1 == 0, 0, df$var1 - 0.05) >>> df$ul <- ifelse(df$var1 == 1, 1, df$var1 + 0.05) >>> pp1 <- ggplot(data = df, >>> aes(x = var2, y = var1)) + >>> geom_line() + geom_point() + >>> scale_x_continuous(limits = c(0, 1), breaks = seq(0, 1, >>> 0.1)) + >>> scale_y_continuous(limits = c(0, 1), breaks = seq(0, 1, 0.1)) >>> pp1 >>> pp2 <- pp1 + geom_errorbar(data=df, >>> aes(ymin=ll,ymax=ul), width=0.02) >>> pp2 >>> Warning message: >>> In loop_apply(n, do.ply) : >>> Removed 2 rows containing missing values (geom_path). >>> > >>> >>> Thanks for any pointers. >>> >>> Best, >>> Axel. >>> >>> [[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.
