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Dear all; Thanks. Here are the dput results as Duncan suggested. Regards, Greg structure(list(Sub_Pathways = structure(c(3L, 3L, 3L, 3L, 3L), .Label = c("Acetylated_Peptides", "Advanced_Glycation_End-product", "Alanine_and_Aspartate", "Aminosugar", "Ascorbate_and_Aldarate", "Carnitine", "Ceramides", "Creatine",

Dear R-helpers, To get curves for a pseudo cohort other than the one centered at the mean of the covariates, I have been trying to use the newdata argument to survfit with no success. Here is my model statement, the newdata and the ensuing error. What am I doing wrong? > summary(fit) Call: coxph(formula = Surv(Start, Stop, Event, type = "counting") ~ Week + LagAOO + Prior.f +

Works fine for me. What do you object to in the following? Calling the above df "d", > dm <- as.matrix(d) > dm Sub_Pathways BMI_beta SAT_beta VAT_beta 1 "Alanine_and_Aspartate" " 0.23820" "-0.02409" " 0.94180" 2 "Alanine_and_Aspartate" "-0.31300" "-1.97510" "-2.22040" 3

> I make a study in health econometrics and have a categorical > dependent variable (take value 1-5). I would like to fit an ordered > probit or ordered logit but i didn't find a command or package who > make that. Does anyone know if it's exists ? R is very fancy. You won't get mundane things like ordered probit off the shelf. (I will be very happy if someone will show

Hi I have tryed to do the meta-regression in metafor package, but I would like to get the standardized coefficients for each variable, however in command:   Ø  res<-rma.uni (yi, vi, method="REML", mods=~cota+DL+uso+gadiente+idade, data= turbidez)   I just have the coefficients no standardized (estimate) of the multiple regression. What I need to do? Thanks Fernanda Melo

Hi All I am trying to translate a proc mixed into a lme() syntax. It seems that I was able to do it for part of the model, but a few things are still different. It is a 2-level bivariate model (some call it a pseudo-3-level model). PROC MIXED DATA=psdata.bivar COVTEST METHOD = ml; CLASS cluster_ID individual_id variable_id ; MODEL y = Dp Dq / SOLUTION NOINT; RANDOM Dp Dq / SUBJECT = cluster_ID

On 19/09/2017 9:47 AM, greg holly wrote: > Hi all; > > I have data at 734*22 dimensions with rows and columns names are > non-numeric.When I convert this data into matrix then all values show up > with quotes. Then when I use > x1= noquotes(x) to remove the quotes from the matrix then non-numeric row > names remain all other values in matrix disappear. > > Your help is

Hi all; I have data at 734*22 dimensions with rows and columns names are non-numeric.When I convert this data into matrix then all values show up with quotes. Then when I use x1= noquotes(x) to remove the quotes from the matrix then non-numeric row names remain all other values in matrix disappear. Your help is greatly appreciated. Greg [[alternative HTML version deleted]]

Readers of this list might be interested in the following commenta about R. In a recent report, by Michael N. Mitchell http://www.ats.ucla.edu/stat/technicalreports/ says about R: "Perhaps the most notable exception to this discussion is R, a language for statistical computing and graphics. R is free to download under the terms of the GNU General Public License (see http://www.r-project.

(The list appears to have eaten my previous attempt to send this. Apologies if you receive multiple copies.) The attached patches allow you to use paravirtualised network and block interfaces from fully virtualised domains, based on Intel''s patches from a few months ago. These are significantly faster than the equivalent ioemu devices, sometimes by more than an order of magnitude.