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2008 Aug 01
1
Major difference in the outcome between SPSS and R statisticalprograms
...imation. lmer will give standard errors that account for the correlation of individuals within similar units whereas the SPSS procedure will not. The lmer standard errors better capture the true sampling variance of the parameters and SPSS doesn't. > -----Original Message----- > From: Draga, R. [mailto:R.Draga at umcutrecht.nl] > Sent: Friday, August 01, 2008 11:45 AM > To: Doran, Harold > Subject: RE: [R] Major difference in the outcome between SPSS > and R statisticalprograms > > Thanks for the reaction > > I know, I would not expect the outcomes to be th...
2008 Aug 04
1
Major difference in multivariate analyses SPSS and R
Dear colleagues, I know SPSS can not compute linear mixed models. I used 'R' before for computing multivariate analyses. But, I never encountered such a major difference in outcome between SPSS and 'R': In SPSS the Pearson correlation between variable 1 and variable 2 is 31% p<0.001. In SPSS binary logistic regression gives us an Odds Ratio (OR)=4.9 (95% CI 2.7-9.0),
2001 Jan 24
1
Samba erors...
What can i do about this... ~~ # smbstatus Can't create or use IPC area. Error was File exists ERROR: Failed to initialise share modes Can't initialise shared memory - exiting In log-uri: Jan 24 07:22:41 lapd smbd[19406]: [2001/01/24 07:22:41, 0] locking/shmem_sysv.c:sysv_shm_open(667) Jan 24 07:22:41 lapd smbd[19406]: Can't create or use IPC area. Error was File exists Jan 24
2008 Aug 01
1
Major difference in the outcome between SPSS and R statistical programs
Dear collegues, I have used R statistical program, package 'lmer', several times already. I never encountered major differences in the outcome between SPSS and R. ...untill my last analyses. Would some know were the huge differences come from. Thanks in advance, Ronald In SPSS the Pearson correlation between variable 1 and variable 2 is 31% p<0.001. In SPSS binary logistic
2008 Aug 05
0
P values in non linear regression and singular gradients using nls
...s of interaction terms in mixed-effects models (Andrew Robinson) 39. about the 95%CI around the median... (Fernando Marmolejo Ramos) 40. Re: about the 95%CI around the median... (Simon Blomberg) 41. Re: graph (MORNEAU Fran?ois) 42. Major difference in multivariate analyses SPSS and R (Draga, R.) 43. Re: Sweave and ggplot2 (ONKELINX, Thierry) 44. Re: Decomposing tests of interaction terms in mixed-effects models (Peter Dalgaard) 45. Re: Major difference in multivariate analyses SPSS and R (Peter Dalgaard) 46. Re: about the 95%CI around the median... (Gavin Simpson)...