> Given that clarification, I'd just generate the full set and remove
> the ones you aren't interested in, as in:
I'd agree; that is probably the most efficient thing to do with only half a
dozen binary variables and a single condition.
A way of going about it for a more complex case might be to
Logic:
!(E == "fail" & F == "fail) <==>
(E == "pass" | F == "pass")
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Thu, Aug 2, 2018 at 8:57 AM, Sa
Given that clarification, I'd just generate the full set and remove
the ones you aren't interested in, as in:
scenarios <- expand.grid(A = c("pass", "fail"), B = c("pass", "fail"), C =
c("pass", "fail"), D = c("pass", "fail"), E = c("pass", "fail"), F =
c("pass", "fail"))
scenarios <- subset(sc
From what I can tell, the simplest way is to
First generate all the combinations
Then exclude those you don't want.
Here's an example, with only three variables (D, E, and F), that excludes those
where E and F both fail
> tmp <- c('p','f')
> X <- expand.grid(D=tmp, E=tmp, F=tmp)
> X <- sub
Thank you for pointing that out, I realize not only did I use the wrong
language but I did not describe the situation accurately. I do need to
address the situation where both variables E and F actually pass, that is
the majority case, one or the other can fail, but there can never be a
situation
> On Thu, Aug 2, 2018 at 11:20 AM, R Stafford
> wrote:
> > But I have the extra condition that if E is true, then F must be false, and
> > vice versa,
Question: Does 'vice versa' mean
a) "if E is False, F must be True"
or
b) "if F is True, E must be False"?
... which are not the same.
b) (and
Hi Rod,
How about this?
scenarios <- expand.grid(A = c("pass", "fail"), B = c("pass", "fail"), C =
c("pass", "fail"), D = c("pass", "fail"), E = c("pass", "fail"))
scenarios$F<-ifelse(scenarios$E=="pass","fail","pass")
Jim
On Thu, Aug 2, 2018 at 11:20 AM, R Stafford wrote:
> I have 6 variable
I have 6 variables, (A,B,C,D,E,F) that can either pass or fail (i.e., true
or false).
I can get a table of all pass/fail combinations with this:
scenarios <- expand.grid(A = c("pass", "fail"), B = c("pass", "fail"), C =
c("pass", "fail"), D = c("pass", "fail"), E = c("pass", "fail"), F =
c("pass",
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