Hi Dennis, you could get the result using 2 approachs:
1)
a - c(1,1,1,1,2,3,4,5,5)
b - table(a)
print (b[1])
1
4
Now,
print (b[[1]])
4
rownames(b)
[1] 1 2 3 4 5
c =rownames(b)
print(c[1])
1
2)
b= tabulate(a)
b
[1] 4 1 1 1 2
print(b[1])
[1] 4
Emir Toktar
-Original
Hi, you could try to do:
text(x,y, expression(paste(A) ,Delta,stbA::cat)); # uppercase 'D'elta
text(x,y, expression(paste(A) ,delta,stbA::cat)); #lowercase 'd'elta
or yet
text(x,y, A) \\*DstbA::cat, vfont=c(serif, plain))
# here there are too many examples...
demo(plotmath)
'Alpha' -
Dear R users,
I´m trying to optimize simultaneously two binomials inequalities (used in
acceptance sampling) which are nonlinear solution, so there is no simple
direct solution. Please, let me explain shortly the the problem and the
question as following.
The objective is to obtain the smallest
Dear R users,
I´m trying to optimize simultaneously two binomials inequalities used to
acceptance sampling, which are nonlinear solution, so there is no simple
direct solution. Please, let me explain shortly the the problem and the
question as following.
The objective is to obtain the smallest
Dear R users,
I´m trying to optimize simultaneously two binomials inequalities used to
acceptance sampling, which are nonlinear solution, so there is no simple
direct solution.
The 'n' represents the sample size and the 'c' an acceptance number or
maximum number of defects (nonconforming) in
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