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...e of the first steps in solving a hypothesis test with infer is to set up the initial sampling dataset. Often, in Lock5 problems, this is a dataset that can be downloaded with library(Lock5Data). However, other problems are worded like this: =========================== In 1980 and again in 2010, a Gallup poll asked a random sample of 1000 US citizens ?Are you in favor of the death penalty for a person convicted of murder?? In 1980, the proportion saying yes was 0.66. In 2010, it was 0.64. Does this data provide evidence that the proportion of US citizens favoring the death penalty was higher in 198...

...; > set up the initial sampling dataset. Often, in Lock5 problems, this > > is > > a dataset that can be downloaded with library(Lock5Data). However, > > other problems are worded like this: > > > > =========================== > > In 1980 and again in 2010, a Gallup poll asked a random sample of > > 1000 > > US citizens ?Are you in favor of the death penalty for a person > > convicted of murder?? In 1980, the proportion saying yes was 0.66. > > In > > 2010, it was 0.64. Does this data provide evidence that the > > proportion...

...e of the first steps in solving a hypothesis test with infer is to set up the initial sampling dataset. Often, in Lock5 problems, this is a dataset that can be downloaded with library(Lock5Data). However, other problems are worded like this: =========================== In 1980 and again in 2010, a Gallup poll asked a random sample of 1000 US citizens "Are you in favor of the death penalty for a person convicted of murder?" In 1980, the proportion saying yes was 0.66. In 2010, it was 0.64. Does this data provide evidence that the proportion of US citizens favoring the death penalty was hig...

I've just started using R and I would like to know how to do a pie chart; The "pie" comand does not exist in the R I am using, why? Thanks, Marcos -------------- next part -------------- An HTML attachment was scrubbed... URL: https://stat.ethz.ch/pipermail/r-help/attachments/20010816/b44c5388/attachment.html

Hello! I have a dataset with variables in string format (ages class and sex) which I want to recode as numerical variables. How can I accomplish this? Is there any way to do that automatically? Could someone help me? Thanks in advance, Marcos -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

[accidentally sent to owner-r-help -- please do NOT! it's "r-help" !] ------- start of forwarded message ------- From: Marcos_Sanches at gallup.com To: owner-r-help at stat.math.ethz.ch Subject: How to get residuasl with arima0? Date: Wed, 19 Sep 2001 15:19:07 -0300 I know this is a basic question, but I've never used the 'ts' package and I'm having some problem with it. If I type, for example: >fit1<-arima0(x , ....

Hello all, I have the square symetric matrix A: 2 1 1 1 2 1 1 1 2 My first question is what is the easiest way to enter this matriz in R? Second, matrix A has an eigenvalue with multiplicity 2, in this case, how could I find the two related ortogonal eigenvectors given below by R, without the help of R, I mean, I want to know how R calculate this eigenvectors related to the same eigenvalue.

This should do what you want: # construct a data.frame d L3 <- LETTERS[1:3] str(d <- data.frame(cbind(x=1, y=1:10), ch=sample(L3, 10, repl=TRUE))) d # replace y-value in d, where y=5 d$y[d$y==5] <- 100 d Regin -----Oprindelig meddelelse----- Fra: Pesl Thomas [mailto:thomas.pesl at arcs.ac.at] Sendt: 29. august 2000 14:02 Til: R-Help (E-Mail) Emne: [R] short way i want to replace

Hi all! I am fitting a Poisson model, using the following command: > fit2<-glm(canc~id1+year1+time+lnpa,family=poisson) where 'id1', 'year1' and 'time' are factors. I defined them with: > id1<-C(factor(id1), treatment) and 'lnpa' is a continuous variable. The 'summary' function gives me all the effects estimates, that is, for id1, I

Hello list! I have a problem with the function 'persp'. I have a data set with the variables X -> The X coordenate of the insect Y -> The Y coordenate of the insect deep-> how deep the insect buried into the soil. I would like to have a plot with a surface simulating the way the insect buried. Is it possible? If I type persp(x,y,deep) R gives me this error message Error in

I have had the same problem and I wrote this function rmulti <- function(n, size, p) { NrDim <- length(p) if(NrDim<2) stop("The simulated variabel has to be at least 2-dimensional") res <- matrix(data=NA, nrow=n, ncol=NrDim) p <- p/sum(p) TempSize <- size for(i in 1:NrDim) { TempP <- p[i]/sum(p[i:NrDim]) TempBin <- rbinom(n=n, size=TempSize,