similar to: ISwR (PR#9204)

I am learning to use R using a book that uses examples from the ISwR library so I need to have that library. When I type library (ISwR), R says: Error in library(ISwR) : there is no package called 'ISwR' Do I need to install ISwR separately? How do I do this? Thanks! -- View this message in context: http://www.nabble.com/ISwR-library-tf3548959.html#a9907582 Sent from the R help mailing

Dear All: good morning I am trying to install the "" package, but I am getting this error message. *> utils:::menuInstallPkgs()* *Warning in install.packages(NULL, .libPaths()[1L], dependencies = NA, type = type) :* * 'lib = "C:/Program Files/R/R-3.4.1/library"' is not writable* *Error in install.packages(NULL, .libPaths()[1L], dependencies = NA, type = type) : *

> hist.with.normal<-function(x,xlab=deparse(substitute(x)),...)+ (+ h<-hist(x, plot=F, ...)+ s<-sd(x)Error: unexpected symbol in:"h<-hist(x, plot=F, ...)s"> I am using ISwR to teach myself R. Above is what happens when I try to duplicate the example on page 32. What went wrong? Note: I am using shift-enter to advance to the next line.

What if you answer 'Yes' ? On Wed, Sep 20, 2017 at 1:03 PM, AbouEl-Makarim Aboueissa < abouelmakarim1962 at gmail.com> wrote: > Dear All: good morning > > I am trying to install the "" package, but I am getting this error message. > > > *> utils:::menuInstallPkgs()* > *Warning in install.packages(NULL, .libPaths()[1L], dependencies = NA, type >

Dear friends, I am having problem with installing some packages in R in Ubuntu like "ISwR". Bellow is the outcome. Anybody can help me to solve this problem. Thanks a lot and sorry if it is very simple question. install.packages("ISwr") Loading Tcl/Tk interface ... done trying URL 'http://probability.ca/cran/src/contrib/ISwR_2.0-5.tar.gz' Content type

When I combine separate vectors into one list, there are new names created. I'd like to change them to something more meaningful. Here are two examples using data(zelazo) from library(ISwR): > library(ISwR) > data(zelazo) > attach(zelazo) > zelazo $active [1] 9.00 9.50 9.75 10.00 13.00 9.50 $passive [1] 11.00 10.00 10.00 11.75 10.50 15.00 $none [1] 11.50 12.00 9.00

I have been looking at some 'table' examples in Peter Dalgaard's ISwR book, and I am confused by how to get right justification of my table headings when I use the tables() command. Compare the following: # Produces right justfified column names caff.marital=matrix(c(652,1537,598,242,36,46,38,21,218,327,106,67),nrow=3,byrow=T)

Hello, I'm looking for a textbook that can explain some of the math behind the intro-to-intermediate stuff like ANOVA, multiple regression, non- parametric tests, etc. A little background: I took an intro stats course last year and would like to further my education. Being as that was the highest (and only) stats class the local community college offers, it looks like I'm on

Greeting R debianites - There are a number of R libraries I need debianized (for Ubuntu Maverick systems, if it matters) -- ISwR, Hmisc, mosaic, mosaicManip, HSAUR2 -- which I couldn't find debian packages for. The structure of R libraries is so regular that I'm guessing surely there must be a template for creating debian packages for them, or maybe a set of instructions? Does

To my understanding, a confidence interval typically covers a single valued parameter. In contrast, a confidence band covers an entire line with a band. In regression, it is quite common to construct confidence and prediction bands. I have found that many people are connecting individual confidence/prediction interval values produced with predict(object,sd.fit=T,type="conf/pred") and

Dear all, I am perplexed when trying to get the same results using pairwise.t.test and t.test. I'm using examples in the ISwR library, >attach(red.cell.folate) I can get the same result for pairwise.t.test and t.test when I set the variances to be non-equal, but not when they are assumed to be equal. Can anyone explain the differences, or what I'm doing wrong? Here's an example

I'm attempting the heruclean task of teaching myself Introductory Statistics and R at the same time. I'm working through Peter Dalgaard's Introductory Statistics with R, but don't understand why the answer to one of the exercises works. I'm hoping someone will have the patience to explain the answer to me, both in the statistics and R areas. Exercise 6.1 says: The zelazo data

Hi, I was wondering if there is a ready made function or parameter for indicating the sample size in boxplots? Here's what I came up with so far: library(ISwR) data(energy) attach(energy) boxplot(expend~stature) sample.size <- tapply(expend, stature, length) sample.size <- paste("N=", sample.size, sep="") mtext(sample.size, at=1:length(unique(stature)), line=2,

As a result of another thread here, I need to be sure that the function par(bg='white') has executed before I create a plot. The simplest thing seemed to put it in .Rprofile: .First <- function() { options(width=150) par(bg='white') } But now R complains at startup: Error in .First() : couldn't find function "par" I have confirmed that once R has started,

When I run this calculation library(ISwR) library(simple.boot) data(thuesen) fit <- lm(thuesen$short.velocity~thuesen$blood.glucose) summary(fit) fit.sb <- lm.boot(fit,R=1000,rows=F) summary(fit.sb) I get the following error from the lm.boot routine: newdata' had 100 rows but variable(s) found have 24 rows I don't know what this error means. Also, this example is

Hello all, New user here. I have R 2.7.1. installed, but don?t have internet access in my PC. Therefore, I downloaded the ISwR package (Introductory Statistics with R) from CRAN and then moved it into my HD. I can?t seem to install the local package under Windows Vista system. I've tried using the men? "packages" "install package(s) from local zip files...", as suggested

I understand that the hat matrix is a function of the predictor variable alone. So, in the following example why do the values on the diagonal of the hat matrix change when I go from an unweighted fit to a weighted fit? Is the function hatvalues giving me something other than what I think it is? library(ISwR) data(thuesen) attach(thuesen) fit <- lm(short.velocity ~ blood.glucose)

'Writing R Extensions' tells you that $ needs to be escaped in Rd files outside \code and similar. So I was surprised to find that ca 80 CRAN packages have constructions like (from ISwR) \item{\code{folate}}{ a numeric vector, folate concentration ($\mu$g/l). } This does not render sensibly in non-latex conversions, and it is what we have \eqn{} for. That $ needs to be

When I try to the code from library(survival) of library(ISwR), the following code survfit(Surv(days,status==1)) that could produce Kaplan-Meier estimates shows the following error "Error in survfit(Surv(days, status == 1)) : Survfit requires a formula or a coxph fit as the first argument" How it can be done in R.2.10 -- View this message in context:

Warning: I am a complete newbie to R. I have read ISwR, but I am still finding myself completely stuck on some simple concepts. I have tried everything I can think of to solve this one, and finally decided that enough was enough and I need a pointer to a solution. I have the following summary from lm(): ---- > summary(lm(nu1~nu4)) Call: lm(formula = nu1 ~ nu4) Residuals: Min 1Q