On 3/13/2016 6:42 PM, Ajay Andrews wrote:
I have a set of independent variables that are all BINARY, and my dependent
variable is also BINARY. Should I use the logistic regression for this -
using the glm function?
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glm(..., family=binomial) will gi
That would be my recommendation. You can use glm() with the argument family
= binomial().
- Jordan
On Sun, Mar 13, 2016 at 6:42 PM, Ajay Andrews
wrote:
> I have a set of independent variables that are all BINARY, and my dependent
> variable is also BINARY. Should I use the logistic regression f
Ajay Andrews wrote :
You certainly _can_, whether you _should_ depends on the scientific question. I
think you may need to consult someone familiar with your field of study for
advice.
> I have a set of independent variables that are all BINARY, and my dependent
> variable is also BINARY. Shou
This query is not really appropriate for this list, which is about R
programming, not statistical advice (although there is certainly some
overlap). You should post to a statistical list like
stats.stackexchange.com. Better yet, since you seem to be out of your
depth statistically, why not find a l
I have a set of independent variables that are all BINARY, and my dependent
variable is also BINARY. Should I use the logistic regression for this -
using the glm function?
[[alternative HTML version deleted]]
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