Hi, How can I make an ANOVA if I haven't got all data set but I know the numbers of subjects for each group, the mean and di standard deviation for each group? Thanks Angelo Scozzarella
I don't know of a way to do it without the data On Sun, Aug 10, 2008 at 11:35 AM, Angelo Scozzarella <angeloscozzarella at tiscali.it> wrote:> Hi, > > How can I make an ANOVA if I haven't got all data set but I know the > numbers of subjects for each group, the mean and di standard deviation for > each group? > > Thanks > > > Angelo Scozzarella > > ______________________________________________ > 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. >-- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis
On 8/10/2008 11:35 AM, Angelo Scozzarella wrote:> Hi, > > How can I make an ANOVA if I haven't got all data set but I know the > numbers of subjects for each group, the mean and di standard deviation > for each group?See anova.mean() in the HH package: http://finzi.psych.upenn.edu/R/library/HH/html/anova.mean.html> Thanks > > Angelo Scozzarella > > ______________________________________________ > 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.-- Chuck Cleland, Ph.D. NDRI, Inc. (www.ndri.org) 71 West 23rd Street, 8th floor New York, NY 10010 tel: (212) 845-4495 (Tu, Th) tel: (732) 512-0171 (M, W, F) fax: (917) 438-0894
Hello,
I am trying to perform an ANOVA on a dataframe like this:
ID Grup ML PC
mI Gly Glx
X373.txt 1 1 0.004685889 0.05994939 0.004589104 0.007144027
0.02042549
X373bis.txt 2 1 0.004685889 0.0599494 0.004589104 0.007144028
0.0204255
X376.txt 3 1 0.007604898 0.07600049 0.01935247 0.01678972
0.03363403
X392.txt 4 1 0.004982747 0.02760991 0.01855596 0.01413439
0.02013267
X483.txt 5 1 0.009131522 0.02636227 0.02485232 0.01493074
0.02532194
X520.txt 6 1 0.008553895 0.06304886 0.02490261 0.01907819
0.03356447
X671.txt 7 1 0.008004383 0.05243909 0.0229447 0.024266
0.03553224
X673A.txt 8 1 0.01306893 0.02799318 0.01155338 0.007668364
0.02123958
X673B.txt 9 1 0.006099385 0.0516078 0.03099324 0.02664487
0.03766267
X674.txt 10 1 0.005476397 0.04945545 0.01479742 0.01084873
0.02307815
X681.txt 11 1 0.009807893 0.01680487 0.004524913 0.004705414
0.008969453
X725.txt 12 1 0.01018343 0.0119391 0.007911063 0.008005791
0.01014625
X746.txt 13 1 0.008864319 0.02484126 0.01198048 0.01276371
0.01042683
X772.txt 14 1 0.005966057 0.07398342 0.0210399 0.01606057
0.02932874
X814.txt 15 1 0.01350947 0.0317243 0.003234958 0.002958675
0.005194511
X835.txt 16 1 0.005509359 0.02670237 0.07425323 0.04095533
0.031017
X847.txt 17 1 0.004784228 0.05349206 0.01183679 0.01230316
0.03073348
X851.txt 18 1 0.004395889 0.03812635 0.01998653 0.02165763
0.02074277
X865.txt 19 1 0.001514055 0.07128447 0.0106887 0.00802192
0.01478855
X878.txt 20 1 0.003693918 0.03864821 0.01571797 0.01972568
0.022711
et2029.txt 21 1 0.05204285 0.03769878 0.03168799 0.03631842
0.02732589
et2348.txt 22 1 0.01407517 0.01679014 0.004900163 0.004243802
0.01052361
The table is truncated because it's very big, but it has 3 different
groups (Grup variable) and it's called GBM.
I try to use the command:
aov(GBM$Grup~GBM$ML,data=GBM)
But I get this error:
/Error in storage.mode(y) <- "double" :
invalid to change the storage mode of a factor
In addition: Warning message:
In model.response(mf, "numeric") :
using type="numeric" with a factor response will be ignored/
How can I solve this?
Best,
Dani
--
Daniel Valverde Saub?
Grup de Biologia Molecular de Llevats
Facultat de Veterin?ria de la Universitat Aut?noma de Barcelona
Edifici V, Campus UAB
08193 Cerdanyola del Vall?s- SPAIN
Centro de Investigaci?n Biom?dica en Red
en Bioingenier?a, Biomateriales y
Nanomedicina (CIBER-BBN)
Grup d'Aplicacions Biom?diques de la RMN
Facultat de Bioci?ncies
Universitat Aut?noma de Barcelona
Edifici Cs, Campus UAB
08193 Cerdanyola del Vall?s- SPAIN
+34 93 5814126