Hi All,
Here is my sample data set..
y x
7/4/2009 -0.2368 -1.2727
7/11/2009 -0.5039 -5.2805
7/18/2009 -0.6655 -6.9641
7/25/2009 -0.3936 -3.6937
8/1/2009 -0.3463 -5.6457
8/8/2009 -0.3000 -1.7368
8/15/2009 0.2378 6.4600
8/22/2009 -0.2962 -3.1113
8/29/2009 -0.4346 -4.2039
9/5/2009 -0.6971 -7.8216
9/12/2009 -0.1217 5.1446
9/19/2009 -0.3107 2.0862
9/26/2009 -0.1797 -3.6055
10/3/2009 0.2299 -0.7373
*10/10/2009 0.4098 -10.1939*
When graphed on a scatter plot the bold faced data point significantly
reduces the robustness of my regression model. Question, is there a way in R
to run a p-value check on each added data point. So lets say given the range
of 7/4/2009- 10/03/2009 my p-value was .01; but then after adding 10/10/2009
to the data set my p-value increased to 0.4. At this point a conditional
statement could be made saying IF(p-value increase > z) then stop regression
at prior date.
Thanks for your help,
Rick
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
