On 1/27/2017 8:30 AM, danielren...@lycos.com wrote:
Hello developers folks!
First, congratulations for the wonderful work with R.
For science, barplots with error bars are very important. We were
wondering that is so easy to use the boxplot function:
boxplot(Spores~treatment, col=treatment_colors)
But there is no such function for barplots with standard deviation or
standard error. It becomes a "journey" to plot a simple graph (e.g.
https://www.r-bloggers.com/building-barplots-with-error-bars/).
The same way that is easy to use the boxplot function, do you think it
is possible to upgrade the barplot function: i.e.:
barplot(Spores~treatment, error.bar=standard_error, col=treatment_colors)
Marc may not speak for R Core, but he certainly has summarized what has
been an apparent consensus attitude to barplot() and confidence bars in
this community over the last decade. Further, he is probably right
about no changes after this many years.
I might mention that if you want a close cousin to barplot() that does
what you want with base graphics (from the drawing mechanics point of
view) see the barplot2() function in the gplots package. You provide
your own bar lengths. Regardless of their merits, barplots are a common
graphing mechanism used by my scientific colleagues to convey their
data, and I don't see that changing any time soon. The one thing that
is even less forgivable than dynamite plots is bars with no dispersion
indication at all. Too bad barplot2() isn't the default.
Thank you so much!
Daniel, FU-Berlin
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