Hello,
I'm trying to create a table like below for a data set representing one
test and indexed by five categories.
Categories are grouped into a number of buckets (three in this case: A, B,
C) based on the level at which the difference between groups is significant
(0.05).
Category, Group, Me
Hello,
I have a data set with test results for multiple devices (rows). I also
have an index (column) that stores the first failing test for each device.
I need to remove the results for all the tests that come after the first
failing test.
Example of a data table:
Device,first_failing_test,test
X1,X2,X3,X4 should have independent distributions. They should be
between 0 and 1 and all add up to 1. Is this still possible with
Robert's method?
Thanks
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PLEASE do read t
> At 01:13 PM 3/26/2008, Ala' Jaouni wrote:
> >>I am trying to generate a set of random numbers that fulfill
> >>the following constraints:
> >>
> >>X1 + X2 + X3 + X4 = 1
> >>
> >>aX1 + bX2 + cX3 + dX4 = n
> >>
> >
Hi,
I failed to mention that the X values have to be positive and between 0 and 1.
e.g.
0.1812*X1 + 0.1871*X2 + 0.1847*X3 + 0.2745*X4 + 0.1304*X5 = 0.2
so one possible combination of X values can be:
0.319, 0.201, 0.084, 0.26, 0.136
another possible combination:
0.151, 0.253, 0.197, 0.256, 0.14
I am trying to generate a set of random numbers that fulfill the
following constraints:
X1 + X2 + X3 + X4 = 1
aX1 + bX2 + cX3 + dX4 = n
where a, b, c, d, and n are known.
Any function to do this?
Thanks,
-Ala'
__
R-help@r-project.org mailing list
ht
I am trying to generate a set of random numbers that fulfill the following
constraints:
X1 + X2 + X3 + X4 = 1
aX1 + bX2 + cX3 + dX4 = n
where a, b, c, d, and n are known.
Any function to do this?
Thanks,
-Ala'
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