Tammy Ma
2012-Oct-29 13:12 UTC
[R] Which test should I use for comparing the change of two samples
Dear All,
I have two samples as the following:
conjps<-c(9.41,10.45,10.78,10.73,11.11,11.12,11.59,11.04,11.63)
ms<-c(4.11,5.10,5.70,6.46,6.04,6.16, 6.24,6.32,7.33)
I want to test the change of sample is same to the another one.
conjps_ch<-c(1.04,0.33.....)
ms<-c(0.99,0.60,0.76....)
which test I should use, which conclusion can we drive based on the test?
I used the following test:
•Test Equality
of Two Variances
F
test to compare two variances
data:
conjps and ms
F = 0.5419, num df = 8,
denom df = 8,
p-value = 0.4045
alternative hypothesis: true ratio of
variances is not equal to 1
95 percent confidence interval:
0.1222368 2.4024170
sample estimates:
ratio of variances
0.5419076
is it correct? which conclusion can I get based on this?
Thanks for help.
Kind regards,
Tammy
[[alternative HTML version deleted]]
Bert Gunter
2012-Oct-29 13:52 UTC
[R] Which test should I use for comparing the change of two samples
Is this homework? We don't do homework on this list. You may also do better posting your question on stats.stackexchange.com or other statistical list, as this appears to be a statistics not an R question. Cheers, -- Bert On Mon, Oct 29, 2012 at 6:12 AM, Tammy Ma <metal_licaling at live.com> wrote:> > Dear All, > > I have two samples as the following: > conjps<-c(9.41,10.45,10.78,10.73,11.11,11.12,11.59,11.04,11.63) > > ms<-c(4.11,5.10,5.70,6.46,6.04,6.16, 6.24,6.32,7.33) > > I want to test the change of sample is same to the another one. > conjps_ch<-c(1.04,0.33.....) > ms<-c(0.99,0.60,0.76....) > > > which test I should use, which conclusion can we drive based on the test? > > I used the following test: > > > ?Test Equality > of Two Variances > > F > test to compare two variances > > > > data: > conjps and ms > > F = 0.5419, num df = 8, > denom df = 8, > p-value = 0.4045 > > alternative hypothesis: true ratio of > variances is not equal to 1 > > 95 percent confidence interval: > > 0.1222368 2.4024170 > > sample estimates: > > ratio of variances > > > 0.5419076 > > > > is it correct? which conclusion can I get based on this? > > > Thanks for help. > > Kind regards, > Tammy > > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help at 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. >-- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
chuck.01
2012-Oct-29 22:57 UTC
[R] Which test should I use for comparing the change of two samples
1) get differences 2) run t-test on #1 * Be warned: I am not a statistician. Tammy Ma wrote> Dear All, > > I have two samples as the following: > conjps<-c(9.41,10.45,10.78,10.73,11.11,11.12,11.59,11.04,11.63) > > ms<-c(4.11,5.10,5.70,6.46,6.04,6.16, 6.24,6.32,7.33) > > I want to test the change of sample is same to the another one. > conjps_ch<-c(1.04,0.33.....) > ms<-c(0.99,0.60,0.76....) > > > which test I should use, which conclusion can we drive based on the test? > > I used the following test: > > > ?Test Equality > of Two Variances > > F > test to compare two variances > > > > data: > conjps and ms > > F = 0.5419, num df = 8, > denom df = 8, > p-value = 0.4045 > > alternative hypothesis: true ratio of > variances is not equal to 1 > > 95 percent confidence interval: > > 0.1222368 2.4024170 > > sample estimates: > > ratio of variances > > > 0.5419076 > > > > is it correct? which conclusion can I get based on this? > > > Thanks for help. > > Kind regards, > Tammy > > [[alternative HTML version deleted]] > > > ______________________________________________> R-help@> 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.-- View this message in context: http://r.789695.n4.nabble.com/Which-test-should-I-use-for-comparing-the-change-of-two-samples-tp4647756p4647798.html Sent from the R help mailing list archive at Nabble.com.