Hi, I am not clear what your goal is. There is a variety of data there. You could look at t-test differences in preIntensity broken down by sex, you could use regression looking at postIntensity controlling for preIntensity and explained by age, you could....
Why are you analyzing data from an article? What did the article do? What you mention---some sort of z statistic (what exactly this was of and how it should be calculated did not seem like was clear even to you), histogram, t-test, lattice, are all very different things that help answer different questions, show different things, and in one is a piece of software. Without a clearer question and goal, my best advice is here are a number of different functions some of which may be useful to you: ls(pos = "package:stats") Cheers, Josh On Sat, Nov 19, 2011 at 3:01 PM, Colstat <cols...@gmail.com> wrote: > Dear R experts, > > I am trying to analyze data from an article, the data looks like this > > Patient Age Sex Aura preCSM preFreq preIntensity postFreq postIntensity > postOutcome > 1 47 F A 4 6 9 2 8 SD > 2 40 F A/N 5 8 9 0 0 E > 3 49 M N 5 8 9 2 6 SD > 4 40 F A 5 3 10 0 0 E > 5 42 F N 5 4 9 0 0 E > 6 35 F N 5 8 9 12 7 NR > 7 38 F A 5 NA 10 2 9 SD > 8 44 M A 4 4 10 0 0 E > 9 47 M A 4 5 8 2 7 SD > 10 53 F A 5 3 10 0 0 E > 11 41 F N 5 6 7 0 0 E > 12 49 F A 4 6 8 0 0 E > 13 48 F A 5 4 8 0 0 E > 14 63 M N 4 6 9 15 9 NR > 15 58 M N 5 9 7 2 8 SD > 16 53 F A 4 3 9 0 0 E > 17 47 F N 5 4 8 1 4 SD > 18 34 F A NA 5 9 0 0 E > 19 53 F N 5 4 9 5 7 NR > 20 45 F N 5 5 8 5 4 SD > 21 30 F A 5 3 8 0 0 E > 22 29 F A 4 5 9 0 0 E > 23 49 F N 5 9 10 0 0 E > 24 24 F A 5 5 9 0 0 E > 25 63 F N 4 19 7 10 7 NR > 26 62 F A 5 8 9 11 9 NR > 27 44 F A 5 3 10 0 0 E > 28 38 F N 4 8 10 1 3 SD > 29 38 F N 5 3 10 0 0 E > > How do I do a binomial distribution z statistics with continuity > correction? basically normal approximation. > Could anyone give me some suggestions what I (or R) can do with these data? > I have tried tried histogram, maybe t-test? or even lattice? what else can > I(or can R) do? > help please, thanks so much. > > [[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. > -- Joshua Wiley Ph.D. Student, Health Psychology Programmer Analyst II, ATS Statistical Consulting Group University of California, Los Angeles https://joshuawiley.com/ ______________________________________________ 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.
