hmm, submit 8. corr part 1 showed incorrect, but data is good. Below is my problem report:
When I submit for option "8: 'corr' part 1" , the answer is being reported as incorrect. My data does match but I believe the problem is the default digit rounding on the summary function. My version of R might be newer than what the grading system was developed for. My version of R is  "version.string R version 3.1.0 (2014-04-10)". When I override the default "digit" with 3, the answer matches perfectly. I realize that since I joinedd the class late, I've missed the hard deadline but I would like to know that my answers are correct. I've worked very hard on this assignment spending virtually all of my last 3 days working on them. Can you help me resolve this matter? I'm planning on doing the Data Specialization track, retaking this course in the Signature track in July. I would like to know I'm on thee right track with this issue.
Thanks,
David Parker
P.S. I love the course, I'm hooked on R although I had never even heard of it until a few weeks ago. Thanks for making this available!

** Sample answer for (8: 'corr' part 1)
cr <- corr("specdata", 150)
head(cr)
## [1] -0.01896 -0.14051 -0.04390 -0.06816 -0.12351 -0.07589
summary(cr)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.
## -0.2110 -0.0500  0.0946  0.1250  0.2680  0.7630
** My answer for (8: 'corr' part 1)
> cr <- corr("specdata", 150)
> head(cr)
[1] -0.01896 -0.14051 -0.04390 -0.06816 -0.12351 -0.07589

> summary(cr)
    Min.  1st Qu.   Median     Mean  3rd Qu.     Max.
-0.21060 -0.05000  0.09462  0.12530  0.26840  0.76310

> summary(cr,digits=3)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.
-0.2110 -0.0500  0.0946  0.1250  0.2680  0.7630
>

| Which part are you submitting?

 1: 'pollutantmean' part 1
 2: 'pollutantmean' part 2
 3: 'pollutantmean' part 3
 4: 'pollutantmean' part 4
 5: 'complete' part 1
 6: 'complete' part 2
 7: 'complete' part 3
 8: 'corr' part 1
 9: 'corr' part 2
10: 'corr' part 3

Selection: 8
Result:  Sorry, your answer was incorrect. v