similar to: lm considers removed predictors when finding complete cases

Hi r-users,   I have the following code to solve 4 simultaneous eqns with 4 unknowns using newton iteration method.  But I got the error message:   pars <- c(1.15, 40, 50, 0.78) newton.input2 <- function(pars) {  ## parameters to estimate      alp <- pars[1]    b1  <- pars[2]     b2  <- pars[3]    rho <- pars[4]   f1 <- pars[1]*pars[2] f2 <-

Dear r-devel members, It's just been brought to my attention that R permits non-unique column names in data frames -- e.g., via assignment to names() or colnames(). This behaviour is consistent with the help files (as I discovered), but it's not consistent with the behaviour of rownames() and row.names(). For example, row.names(airquality) <- rep("a", nrow(airquality))

I would like to use the "row number" information returned from performing a subset command on a dataframe. For example, I would like to automatically delete some rows from a dataframe if they match a criteria. Here is my example below. data(airquality) names(airquality) subset(airquality, airquality$Month == 6) Now how do I delete the row numbers returned automatically? I

Hello, I have an Active Directory domain to which a Linux machine with Ubuntu 20.04 LTS is joined using Winbind. The version of Winbind is 4.15.13. On this machine, users authenticate via SSH using PAM (pam_winbind), and I need to know their group membership. NSS is configured for this purpose. When users authenticate via username and password, there's no issue retrieving the list of groups

Op 02-05-2024 om 10:39 schreef Oscar Alonso | MailTecK via samba: > Hello, > > I have an Active Directory domain to which a Linux machine with Ubuntu 20.04 LTS is joined using Winbind. The version of Winbind is 4.15.13. > On this machine, users authenticate via SSH using PAM (pam_winbind), and I need to know their group membership. > NSS is configured for this purpose. > When

An Sweave file, 'test.Rnw': \documentclass{article} \title{Sweave minimal} \author{MK} \begin{document} \maketitle We try Sweave: <<1>>= data(airquality) summary(airquality) x <- airquality[1, 1] @ I try Sexpr: \Sexpr{x} We plot: \begin{center} <<2, fig=TRUE, echo=FALSE >>= boxplot(Ozone ~ Month, data = airquality) @ \end{center} \end{document} I check the

Here is an example where?cbind?fails with an error when?check.names=TRUE?is set. data(airquality) airQualityBind =cbind(airquality,airquality,check.names =TRUE) ?I understand that?cbind?is a call to?data.frame?and the following works: airQualityBind =data.frame(airquality,airquality,check.names =TRUE) but I would like to understand why?cbind?throws an error. I asked this question on SO here:

Hello Given the following data for a data set called airquality. To identify the nature of the objects from the data set airquality example "Ozone" would it be best to use the command is. like is.character(airquality$Ozone) ....... I tried attributes(airquality$Ozone) but it came up null. Would there be a better way to identify these objects. Thanking you in advance for your

Is there a place that shows how to create two plots that are stacked on top of each other where they share a common x-axis scale, but have differnt y-axis scale? Say have the following data: airquality Stack plot(airquality$Day, airquality$Wind) on top of plot(airquality$Day, airquality$Temp). I am interested in stacking the two on top of each other with no seam, or plotting the two lines with

I think I've gotten my Emacs/Sweave/R system set up correctly, thanks to Vincent and Jim, but I haven't been successful getting my first document produced. I'm trying to use one of Friedrich Leisch's examples, http://www.ci.tuwien.ac.at/~leisch/Sweave/example-1.Snw. I cut and pasted the text into a document sweaveexample.Rnw in Emacs. It seemed to be processed successfully with R:

I would like to add a column to the airquality dataset that contains the date 1950-01-01 in each row. This method does not appear to work: > attach(airquality) > data1 <- transform(airquality,Date=as.Date("1950-01-01")) Error in data.frame(list(Ozone = c(41L, 36L, 12L, 18L, NA, 28L, 23L, 19L, : arguments imply differing number of rows: 153, 1 I can't decipher what

Hello list. Maybe this is a simple question but I can't find the answer anywhere. With lm I use the parameter y=TRUE to have the response returned in $y. Of course, namely because of NA's in the data frame, this might not include all the values in the original column. For example: > data(airquality) > length(airquality$Day) [1] 153 > my.lm <- lm(Day~.,data=airquality,y=TRUE)

I'm having trouble using lattice and Sweave together. An example of the trouble is the chunk <<fig=true, eps=false>>= library(nlme) data(Orthodont) plot(Orthodont) @ This gives a warning Warning message: No Active Device, using default values in: trellis.par.get("add.text") and creates a pdf file with no pages. I think this is related to the fact that a figure

This seems to be due to changes made by Martin Maechler in 2008. Presumably this fixed something, but it escapes my memory. However, it seems to have broken the equivalence between within.list and within.data.frame, so now within.list <- within.data.frame does not suffice. The crux of the matter seems to be that both the following constructions work for data frames > aq <-

Dear Sweave and R aficionados, I am using R and Latex for many years, writing texts in greek. I tried to combine them with Sweave, but without any success. Could you provide me with any help? Usually my LaTeX files are like this iso-8859-7 encoded .tex file: http://costis.name/0various/lists/R/sweave/successful.greek.tex , which happily produces

> On 26 Jun 2017, at 19:04 , Martin Maechler <maechler at stat.math.ethz.ch> wrote: > >>>>>> peter dalgaard <pdalgd at gmail.com> >>>>>> on Mon, 26 Jun 2017 13:43:28 +0200 writes: > >> This seems to be due to changes made by Martin Maechler in >> 2008. Presumably this fixed something, but it escapes my >> memory. >

My apologies in advance for my thickness but I can't seem to solve the following, seemingly simple, data manipulation problem: I have a data frame that contains multiple factors and multiple continuous response variables, but duplicates of some factor combinations. The duplicates contain bad data, so I would like to eliminate the duplicates. I would like to retain the entire rows

Evening all: I'm taking a little time to experiment with R, Sweave, and Miktex/LaTex but I've run up against some problems and -well- I hope that there are some on the list who might have some suggestions. This will be kind of wordy as I will include the complete files involved as I'm just not sure what I'm looking for. Apologies at the outset. I created the source file

>>>>> "PD" == Peter Dalgaard <pdalgd at gmail.com> >>>>> on Mon, 26 Jun 2017 20:12:38 +0200 writes: >> On 26 Jun 2017, at 19:04 , Martin Maechler >> <maechler at stat.math.ethz.ch> wrote: >> >>>>>>> peter dalgaard <pdalgd at gmail.com> on Mon, 26 Jun

>>>>> peter dalgaard <pdalgd at gmail.com> >>>>> on Mon, 26 Jun 2017 13:43:28 +0200 writes: > This seems to be due to changes made by Martin Maechler in > 2008. Presumably this fixed something, but it escapes my > memory. Yes: The change set (svn -c46441) also contains the following NEWS entry BUG FIXES o