Edit: OK I got it
>for ( dye in c("A","B","C","F","G","K","L","M"))
+ {
+ for (cond in 1:8)
+ {
+ measurement = *my*table[mytable[,"bed"]==cond &
mytable[,"dye"]==dye,"differenz"]
+ print(median(measurement))
+ wilcox.test(measurement,mu=0)
+ }
+ }
But now I get new error massages:
Error in wilcox.test.default(measurement, mu = 0) :
not enough (finite) 'x' observations
In addition: There were 11 warnings (use warnings() to see them)
> warnings()
Warning messages:
1: In wilcox.test.default(measurement, mu = 0) :
cannot compute exact p-value with ties
2: In wilcox.test.default(measurement, mu = 0) :
cannot compute exact p-value with zeroes
3: In wilcox.test.default(measurement, mu = 0) :
cannot compute exact p-value with zeroes
4: In wilcox.test.default(measurement, mu = 0) :
cannot compute exact p-value with ties
5: In wilcox.test.default(measurement, mu = 0) :
cannot compute exact p-value with ties
6: In wilcox.test.default(measurement, mu = 0) :
cannot compute exact p-value with ties
7: In wilcox.test.default(measurement, mu = 0) :
cannot compute exact p-value with zeroes
8: In wilcox.test.default(measurement, mu = 0) :
cannot compute exact p-value with zeroes
9: In wilcox.test.default(measurement, mu = 0) :
cannot compute exact p-value with ties
10: In wilcox.test.default(measurement, mu = 0) :
cannot compute exact p-value with ties
11: In wilcox.test.default(measurement, mu = 0) :
cannot compute exact p-value with ties
What does this mean?
OK can´t compute with zeros, but why? The test should compare the
mediandifference to 0 and if the values are 0 it should be 1, or not?
And what means 'cannot compute exact p-value with ties'?
Greetings
Robert
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