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.
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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.urbiz at 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 at 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]]
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.onkelinx at 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.urbiz at 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 at 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]]