Hi
Thanks for your input. I stand corrected.
The causation is not linear.
We wish to find out which is the cause and under what circumstances. i.e. at
what points along a scale for C, is A the cause and when does B become the
cause, if at all.
As a crude analyses, we assumed that the above is not t
Lalitha Viswanath wrote:
>
> We are trying to find out, which of A or B cause C
> i.e. We are hypothesising that C is the effect and
> either A or B, not both is the cause.
> (...)
> I would greatly appreciate any inputs on the best
> statistcal approach to tackle this problem.
> I am thinking t
How about making your homeworks yourselfes?
lalitha viswanath wrote:
> Hi
> I have a dataframe which has 3 columns of numeric data
> A,B,C each of which has been obtained independent of
> the other.
>
> We are trying to find out, which of A or B cause C
> i.e. We are hypothesising that C is the ef
I am sorry if I misinterpreted this but this questions looks/looked very
like a very basic one about statistical inference... (have a look at the
Manuals/contributed documentation e.g. Faraway)
Lalitha Viswanath wrote:
> Hi
> This is not a homework assignment :)
> Me and my manager are trying to u
Hi
This is not a homework assignment :)
Me and my manager are trying to understand the problem better. In the
meanwhile, we thought we would post the problem on this forum to seek some
input from statisticians who possibly do this kind of analyses everyday and
hence are possibly more proficient wit
Hi
I have a dataframe which has 3 columns of numeric data
A,B,C each of which has been obtained independent of
the other.
We are trying to find out, which of A or B cause C
i.e. We are hypothesising that C is the effect and
either A or B, not both is the cause.
i.e. A causes C and this cause-effe
