Hi there,
I have a data frame DF of over 600 people's short term trade data in time
order. Below is the super simplified structure of the data.
id invest payout
[1] 1 10 -1
[2] 1 33 33
[3] 1 20 -5
[4] 2 200 33
[5] 2 33 -20
[6] 3 5 -5
[7] 3 5 -5
id is each person's id. Each person have invested many times in the sampling
period, in temporal order.
What I want to check is the correlation between invest and payout.
1. How do I run the regression for each person, with the "invest" being
devided by the mean or medium of the person's "invest"?
2. How do I plot a graph with y axis being invest/mean(invest) and x axis
being payout, all 600 people's dots superimposed on one graph?
I tried to use
for (i in 1:(dim (DF)[1]-1))
{
if (DF[i,1]=DF[i+1,1]) id.lm <- lm(invest ~ payput, data=DF)
}
But I don't know how to superimpose graphs onto each other.
Thanks a lot!
Su
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