I have a dataset that looks like this:
> scores date scores price 1 30/11/2017 1 1 2 01/12/2017 1 0 3 02/12/2017 0 1 4 03/12/2017 1 0 5 04/12/2017 1 1 6 05/12/2017 1 0 7 06/12/2017 1 0 8 07/12/2017 1 1
I would like to calculate the odds ratio but I can't seem to find a way. Is there an easy way to do it?
Thanks in advance
I've used the questionr package and the odds.ratio function and I've obtained this:
> odds.ratio(table(scores$scores, scores$price)) OR 2.5 % 97.5 % p Fisher's test 2.18493 0.58581 8.4658 0.2374
can you please help me interpret the results? I'm relatively new to this.
Basically I'm doing a project for my university. I have binarized sentiment scores for each day (0 if they are under a mean score and 1 if above) and binarized stock price variations (0 if price is lower than previous day, 1 if above). My teacher suggested to run odds ratio to see if sentiment by investor could influence the price variations, so I did it, but I dont know how to interpret them since all I can find about odds ratio are examples with presence/absence of a desease. My guess was that when the sentiment is positive (value of 1, and I will consider this class as the "exposure" class of the medical examples) the stock price has a possibility to increase (value of 1, considered as the "oucome" class) that is 2.1 times bigger than it would be with a negative sentiment (value of 0). But I'm absolutely NOT sold on this interpretation