Hello,
As it turns out, this is valid for all generics of the ?Summary group.
From help("Summary"):
Group "Summary":
all, any
sum, prod
min, max
range
methods("Summary") shows that there is a method for df's.
And the code of Summary.data.frame has an explicit test
if (!is.numeric(x) && !is.complex(x))
stop("only defined on a data frame with all numeric variables")
So now the question is even more pertinent (?)(I think):
If sum(<logical vector>) is a valid instruction, why only
sum(<numeric df>)
sum(<complex df>)
are valid?
Rui Barradas
Às 19:23 de 16/02/20, Karolis Koncevičius escreveu:
Hello,
I recently stumbled on an unusual behaviour of any() and all() and have
been adviced from StackOverflow to share it here [1].
df1 <- data.frame(A=TRUE, B=FALSE)
df2 <- data.frame(A=1, B=0)
> any(df1)
Error in FUN(X[[i]], ...):
only defined on a data frame with all numeric variables
> any(df2)
[1] TRUE
Warning message: In any(c(1, 2), na.rm = FALSE):
coercing argument of type 'double' to logical
Same results happen when using all()
So the any() and all() do not work on data frames with logical values,
but work if the values are numeric.
This doesn't seem to be a bug because error correctly states that any()
will only work on an all-numeric data.frame. However the behaviour
doesn't seem intentional and I cannot come up with any reason for it
behaving this way.
Maybe any() and all() need to be modified to not work on data.frames()
at all, which would also be consistent with is.nan() ?
[1]:
https://stackoverflow.com/questions/60251847/why-is-any-only-defined-for-a-numeric-and-not-logical-data-frame
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