search for: xingwang

...list(wool = wool, tension = tension), sum) The results are right but I get a warning message: "number of items to replace is not a multiple of replacement length." BTW: I use R version 2.4.1 in Ubuntu 7.04. Your kind solutions will be great appreciated. Best wishes Yours, sincerely, Xingwang Ye

...in R as in SAS. how can I easily get the p value for each coeefficients? However,the "LR Chisq" for each variables are similar but not identical to that from SAS, why? BTW,please forward your kind answers to my email. Thank you. Best wishes yours, sincerely Xingwang Ye PhD candidate Research Group of Nutrition Related Cancers and Other Chronic Diseases Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences P.O.Box 32 294 Taiyuan Road Shanghai 200031 P.R.CHINA

...run; In R, I tried this: library(Design) ddist<-datadist(a) options(datadist="ddist") f<-ols(Y~A+B+C+D,data=a,x=TRUE,y=TRUE,se.fit=TRUE) then how to get the "lsmeans" for A, B, and C, respectively with predict function? Best wishes yours, sincerely Xingwang Ye PhD candidate Research Group of Nutrition Related Cancers and Other Chronic Diseases Institute for Nutritional Sciences, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences P.O.Box 32 294 Taiyuan Road Shanghai 200031 P.R.CHINA

...al function to work with class lm or glm to obtain the pcorr2 (squared partial correlation coefficients using Type II sums of squares) and scorr2 (squared semi-partial correlation coefficients using Type II sums of squares) for all independent variables (>3 variables) simultaneously? Thank you. Xingwang Ye

Dear R users, When I tried to use princomp() from stats packages to do Principal Components Analysis, I am not very clear what is the "scale". And the scores are different from "PROC PRINCOMP" procedure from SAS. Using the example data from this package: restpc <- princomp(USArrests, cor = TRUE) > restpc$scale Murder Assault UrbanPop Rape 4.311735 82.500075

...ve) as the dependent variable, and waist circumference as an independent variable. Then I wanna to obtain the OR and 95% CI with 1 SD change of waist circumference.how? Any default package(s) or options in glm available now? if not, how to calculate them by hand? many thanks. yours,sincerely, Xingwang Ye

Dear all, I wanna to do multiple comparison test for proportions (multiple chi squre ?), could someone tell me how in R, thank you!

> install.packages("gam") Warning in install.packages("gam") : argument 'lib' is missing: using /usr/local/lib/R/site-library --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done trying URL 'http://cran.cnr.Berkeley.edu/src/contrib/gam_0.97.tar.gz' Content type 'application/x-gzip' length 89613 bytes opened URL

Dear R users, Recently, I am learning by myself to do factor analysis with R. Could some one guide me how to calculate 'factor scoring coefficients' or obtain 'factor scores' with the results from principal( ) or factor.pa( ) function in psych package? In SAS, it can be done with option "SCORE" by PROC FACTOR procedure. Many Thanks. felix