[R] superimpose graphs

[jim holtman]

Here is a start.  This should create the plot:

> x <- read.table(textConnection("        id     invest     payout
+     1  10               -1
+     1          33           33
+     1  20               -5
+     2          200          33
+     2          33        -20
+     3           5          -5
+     3  5        -5"), header = TRUE)
> closeAllConnections()
> # normalize 'invest' by the mean
> x$investNorm <- ave(x$invest, x$id, FUN = function(a) a / mean(a))
> x
  id invest payout investNorm
1  1     10     -1  0.4761905
2  1     33     33  1.5714286
3  1     20     -5  0.9523810
4  2    200     33  1.7167382
5  2     33    -20  0.2832618
6  3      5     -5  1.0000000
7  3      5     -5  1.0000000
> # plot the points
> plot(x$payout, x$investNorm)


On Sat, Apr 16, 2011 at 1:17 PM, 苏江东Su Jiangdong <sujiangdong at gmail.com> wrote:
> Hi there,
>
> I have a data frame DF of over 600 people's short term trade data in time
> order. Below is the 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
>
>        [[alternative HTML version deleted]]
>
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>



-- 
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?