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>2) Under MacOS 10.2.2. Given the following dataset: > > > summary(missing.data) > Hosp..No. Category Offset Side > r060093: 4 F Post op 0.5 year :62 Min. :-5.8333 L: 63 > r023250: 3 E Pre op 0.5 year :54 1st Qu.:-0.4167 R:141 > r026316: 3 H Post op 1.5 years :44 Median : 7.7083 > r032583: 3 G Post op 1 year :...

Dear R Users: I have the individual mortality rate and 95% CI of 100 hospitals, how to do the plot with the individual hospital in the Yaxis, and the mortality rate and 95% CI in the Xais and a overall mean as a reference line? Thanks and regards, Xin [[alternative HTML version deleted]]

Dear R Group: Based on the following data, how to do a great Spider (Radar) Plot? Any advice is greatly appreciated. HospID Rate Age Charlson NIHSS 1 0.2 49 3.5 0 2 0.1 48 1.8 12 3 0.4 56 2.1 5 4 0.3 77 0 7 5 0.2 67 6.5 3 6 0.1 62 4.8 4.6 7 0.1 64 12 5.2 8 0.3 61 3 2.8 9 0.15 69 4.5 1.9 10 0.22 80 0 6.7 11 0.34 61 6 4.2 12 0.18 63 3 6.1 13 0.09 64 8 15 12 0 56 10 11 15 0.1 70 11 7 16 0.21 43 9 9 Thanks and Regards,...

...7 30 20 30 0.04598 87 89 94 31 0.01087 92 41 36 32 0.00000 2 6 50 33 0.01695 118 42 23 34 0.04918 61 88 92 I used the following code for one plot: print(cloud(RANK1 ~ Cases * obs30, data = xll, groups = Method, screen = list(z=20, x= -70), perspective = FALSE, key = list(title = "Ranking HOSP", x = 100, y = 100, corner= c(0, 0), border = TRUE, points = Rows(trellis.par.get("superpose.symbol"), 1:2 )))) # ############################################################################################################## print(cloud(RANK2 ~ Cases * obs30, data = xll, g...

I've rolled up R-0.99.0.tgz a moment ago. You can get it from ftp://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or http://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or wait for it to be mirrored at a CRAN site near you within a day or two. There's also a version split in three (!) for floppies if you prefer that. The next release is to be 1.0.0 at the end of this month,

I've rolled up R-0.99.0.tgz a moment ago. You can get it from ftp://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or http://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or wait for it to be mirrored at a CRAN site near you within a day or two. There's also a version split in three (!) for floppies if you prefer that. The next release is to be 1.0.0 at the end of this month,

...ld like to know, whether lipid concentrations differ among different time points and between the 2 groups. Could anyone advise me, please, what method and how should I usein R? Or redirect me, please, to a source, where I can find the answer. Thank you, Dan Rajdl Dpt.Clin.Chem.Biochem.Hematol, Univ.Hosp.in Pilsen, Czech Republic

...ld understand what was actually happening. For the "years" example, when the data is originally imported the years came in as integers. str(rbd) `data.frame': 541 obs. of 6 variables: $ Year : int 1993 1994 1995 1996 1997 1998 1999 2000 2001 1993 ... $ Hosp : Factor w/ 75 levels "ALBANY HOSP..",..: 23 23 23 23 23 23 23 23 23 28 ... $ Beddays : int 2431 2507 2201 2985 2702 2461 2535 2970 3271 1246 ... $ HD : Factor w/ 21 levels "Avon HD.","Bunb..",..: 10 10 10 10 10 10 10 10 10 10 ... $ HR :...