search for: formula1

...roup) df <- data.frame(y,x1,x2,group) #write formula inside lm--works fine res1 <- lapply(levels(df$group), function(x) lm(y~x1,df, subset = group ==x)) res1 res2 <- lapply(levels(df$group),function(x) lm(y~x1+x2,df, subset = group ==x)) res2 #try to pass formula into lm()--does not work formula1 <- as.formula(y~x1) formula2 <- as.formula(y~x1+x2) resf1 <- lapply(levels(df$group),function(x) lm(formula1,df, subset = group ==x)) resf1 resf2 <- lapply(levels(df$group),function(x) lm(formula2,df, subset = group ==x)) Resf2 The error message is 'Error in eval(expr, envir, encl...

Hi all, I have a problem to estimate Std. Error and t-value by ?polr? in library Mass. They result from the summary of a polr object. I can obtain them working in the R environment with the following statements: temp <- polr(formula = formula1, data = data1) coeff <- summary(temp), but when the above statements are enclosed in a function, summary reports the following error: Error in eval(expr, envir, enclos) : object "dat" not found Someone knows how I can solve the problem? Thanks for any help. Paolo

OS X R 4.3.3 Colleagues I have created objects using the Surv function in the survival package: > FIT.1 Call: survfit(formula = FORMULA1) n events median 0.95LCL 0.95UCL SUBDATA$ARM=1, SUBDATA[, EXP.STRAT]=0 18 13 345 156 NA SUBDATA$ARM=2, SUBDATA[, EXP.STRAT]=1 13 5 NA 186 NA SUBDATA$ARM=2, SUBDATA[, EXP.STRAT]=2 5 5 168 81 NA SUBDATA$ARM=2...

Hi Dennis, look at the help page for summary.survfit, the Value n.event. G?ran On 2024-05-15 22:41, Dennis Fisher wrote: > OS X > R 4.3.3 > > Colleagues > > I have created objects using the Surv function in the survival package: >> FIT.1 > Call: survfit(formula = FORMULA1) > > n events median 0.95LCL 0.95UCL > SUBDATA$ARM=1, SUBDATA[, EXP.STRAT]=0 18 13 345 156 NA > SUBDATA$ARM=2, SUBDATA[, EXP.STRAT]=1 13 5 NA 186 NA > SUBDATA$ARM=2, SUBDATA[, EXP.STRAT]=2 5 5 168...

...r each column (189) is pretty hard, so I want to write a function in order to perform this automatically, such I have the percent value corresponding to a specific column. I' tried these two formulas but I can't get it. I think the problem is how to set the initial values for the loop: Formula1: nnn<-function(x){for (i in F.zoo[,i]){ print(length(subset(F.zoo[,i],(F.zoo[,i]>=5) & (F.zoo[,i]<= 9)))/(length(F.zoo[,i])-length(subset(F.zoo[,i],is.na(F.zoo[,i]))))*100) } } Formula 2: H<-t(matrix(1,189)) nnn<-function(x){for (i in col(H){ print(length(subset(F.zo...

...adia wrote: >Hi all, > >I have a problem to estimate Std. Error and >t-value by ???polr?? in library Mass. >They result from the summary of a polr object. > >I can obtain them working in the R environment with the following statements: > > temp <- polr(formula = formula1, data = data1) > coeff <- summary(temp), > >but when the above statements are enclosed in a >function, summary reports the following error: > >Error in eval(expr, envir, enclos) : object "dat" not found > >Someone knows how I can solve the problem? By gi...

Hello, Does anyone know of a function that will determine whether or not a formula object has a left hand side? I.e., can differentiate between y ~ x + z and ~ x + z Perhaps I'm overlooking the obvious... Thanks!

...ount random effects, there are more parameters than observations. When I try to run the following code, I get an error saying: "Error in mer_finalize(ans) : q = 295 > n = 236". require (lme4) require (glmmAK) data(epilepticBC) dat = epilepticBC dat$rand=1:nrow(dat) dat$V4=dat$visit==4 formula1 = Seizure ~ Base + Trt + I(Trt*Base) + Age + V4 fit=lmer (update (formula1, .~. + (1|id) + (1|rand)), family=poisson, data=dat, nAGQ=1) Is it true that there is no way to fit such a model in an ML analysis? In other words, is there a way to approximate the likelihood of fixed effects and variance...

I am having trouble predicting new data with a model created from package mboost: > mb1<-glmboost(as.formula(formula1),data=data_train,control=boost_control(mstop=400,nu=.1)) > f.predict<-predict(mb1,newdata=data_train) Error in scale.default(X, center = cm, scale = FALSE) : length of 'center' must equal the number of columns of 'x' Ultimately I want to predict "data_test", bu...

I am writing a program in which I would like to take in a formula, change the response (Y) variable into something else, and then pass the formula, with the new Y variable to another function. That is, I am starting with formula <- Y~X1+X2+X3 and I'd like to do something like Y <- formula$Y newY <- f(Y) lm(newY~X1+X2+X3) So far, it seems that my

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Hello: I use R with MAC I have a simple data table, numeric and text columns, named dt. The table is imported through read.csv from a csv file. Row numbers are automatically assigned, header is set to TRUE. there are 599 rows and several columns. I am trying to plot using the stripchart command: one numeric variable (say dt$fnatg) vs a text column (say dt$pat). dt$pat contains one of 3 values:

...1.102]) by lists.samba.org (Postfix) with ESMTP id F145E5121 for <samba@samba.org>; Wed, 16 May 2001 05:56:26 -0700 (PDT) Received: by mono.org (8.11.0/8.11.0) id f4GCtAv21843; Wed, 16 May 2001 13:55:10 +0100 (BST) Date: Wed, 16 May 2001 13:55:10 +0100 (BST) From: David Brownlee <abs@formula1.com> To: <samba@samba.org> Cc: <tech-pkg@netbsd.org> Subject: Serious problem in samba 2.2.0 under NetBSD 1.5 Message-ID: <Pine.NEB.4.33.0105161352210.354-100000@localhost> MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII Sender: samba-admin@lists.samba.org Errors-T...