When passing missing values to ggplot, it's very kind, and warns us that they are present. This is acceptable in an interactive session, but when writing reports, you do not the output get cluttered with warnings, especially if there's many of them. Below example has one label missing, which produces a warning.
library(ggplot2) library(reshape2) mydf <- data.frame( species = sample(c("A", "B"), 100, replace = TRUE), lvl = factor(sample(1:3, 100, replace = TRUE)) ) labs <- melt(with(mydf, table(species, lvl))) names(labs) <- c("species", "lvl", "value") labs[3, "value"] <- NA ggplot(mydf, aes(x = species)) + stat_bin() + geom_text(data = labs, aes(x = species, y = value, label = value, vjust = -0.5)) + facet_wrap(~ lvl)
If we wrap suppressWarnings
around the last expression, we get a summary of how many warnings there were. For the sake of argument, let's say that this isn't acceptable (but is indeed very honest and correct). How to (completely) suppress warnings when printing a ggplot2 object?
%>% is a pipe operator reexported from the magrittr package. Start by reading the vignette. Adding things to a ggplot changes the object that gets created. The print method of ggplot draws an appropriate plot depending upon the contents of the variable.
You need to suppressWarnings()
around the print()
call, not the creation of the ggplot()
object:
R> suppressWarnings(print( + ggplot(mydf, aes(x = species)) + + stat_bin() + + geom_text(data = labs, aes(x = species, y = value, + label = value, vjust = -0.5)) + + facet_wrap(~ lvl))) R>
It might be easier to assign the final plot to an object and then print()
.
plt <- ggplot(mydf, aes(x = species)) + stat_bin() + geom_text(data = labs, aes(x = species, y = value, label = value, vjust = -0.5)) + facet_wrap(~ lvl) R> suppressWarnings(print(plt)) R>
The reason for the behaviour is that the warnings are only generated when the plot is actually drawn, not when the object representing the plot is created. R will auto print during interactive usage, so whilst
R> suppressWarnings(plt) Warning message: Removed 1 rows containing missing values (geom_text).
doesn't work because, in effect, you are calling print(suppressWarnings(plt))
, whereas
R> suppressWarnings(print(plt)) R>
does work because suppressWarnings()
can capture the warnings arising from the print()
call.
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