similar to: wish - cor.test output order change (PR#7315)

Full_Name: Robert W. Baer, Ph.D. Version: 1.6.2 OS: Windows 2000 Submission from: (NULL) (198.209.172.106) Problem: prop.test() does not seem to produce appropriate confidence intervals for the case where the vector length of x and n is one. (I am not certain about higher vector lengths.) As an example, I include x=6 and n=42 which has a mean proportion of 0.115. When I calculate the 95% CI

If I'm not mistaken, "bundle" is really only useful as a concept for distribution and installation. You distribute and install a bundle, but load the individual packages when you want to use them. Once you install the bundle, you won't see the name of the bundle in the list of installed packages, but you see the constituent packages, and those are what you load when you want to

I encountered this issue a couple of months ago and resolved it by installing Rtools in the default directory C:\Rtools, see below for details. I didn't have time to prepare a proper error report and in fact suspected that I may be messing up something. I tracked down the error by installing from the command line, rather than with install.packages(). On Windows I keep multiple versions of

Full_Name: Rob Baer Version: 1.8.1 OS: Windows 2000 Submission from: (NULL) (198.209.172.106) It would be nice to have a 'help menu' item that pointed at the R-Project home page: http://www.r-project.org/ (opening a browser like the FAQ menu items display local files). This wish comes from a Windows RGui newbie user who frequently needs to use the plentiful resources on the

Full_Name: Robert Baer Version: 2.6.1 OS: Windows XP Submission from: (NULL) (198.209.172.95) It would be wonderful if the CRAN mirror had an easy way to set a "default CRAN mirror". Current behavior is to have to choose a CRAN mirror the first time a package is installed in a session. The closest mirror site is always the same for me, and I wouldn't wish to change it unless it

Typing > plot shows the source which shows that plot uses UseMethod -- thus its an S3 generic. Knowing that, issuing: > methods(plot) gives a list of methods. Date: Tue, 23 Mar 2004 18:07:45 -0600 From: Robert W. Baer, Ph.D. <rbaer at atsu.edu> To: <r-help at stat.math.ethz.ch> Cc: Paul Murrell <p.murrell at auckland.ac.nz> Subject: [R] dots in function

I noticed that ?corClasses in package nlme does not list corSpatial among the standard classes. This might either be intentional because corSpatial is not "standard" , or it might be simply an oversight that needs correcting. ------------------------------------------ Robert W. Baer, Ph.D. Professor of Physiology Kirksville College of Osteopathic Medicine A. T. Still University of

> On 30 Sep 2017, at 14:22 , Robert Baer <rbaer at atsu.edu> wrote: > > > > On 9/29/2017 3:37 PM, Rolf Turner wrote: >> On 30/09/17 07:45, JLucke at ria.buffalo.edu wrote: >> >> <SNIP> >> >>> >>> The conceptual paradigm for R is only marginally commensurate with >>> that of >>> standard statistical

I wrote a little routine to convert multiple spss data files (as data frames) to R data files. The code is as follows: # list=dir(pattern=".sav") library(foreign) for (i in 1:length(list)){ # The saved data frame will be dat dat=read.spss(list[i],to.data.frame=TRUE) name=substring(list[i],1,nchar(list[i])-4) rname=paste("../R/",name,".rda",sep="") # This

Hi, I am trying to use R for some survey analysis, and need to compute the significance of some correlations. I read the man pages for cor and cor.test, but I am confused about - whether these functions are intended to work the same way - about how these functions handle NA values - whether cor.test supports 'use = complete.obs'. Some example output may explain why I am confused:

Greetings. There seems to be a problem with the P-value computation in the cor.test with method="spearman". In R1.8.0 (MS Windows) I seem to be getting intermittently nonsense P-values, but the rho's are OK. I can get this reproducibly with the toy example attached where the first use is OK and subsequent calls with the same data give nonsense. (I have also seen the problem

Hi, I've got 4 variables that I want to effectively 'stack' so that I have a grand R variable and a grand L variable. This works to achieve that goal: Twin1cor<-with(twin.wide,cbind(ACDepthR.1,ACDepthL.1)) Twin2cor<-with(twin.wide,cbind(ACDepthR.2,ACDepthL.2)) Both<-rbind(Twin1cor,Twin2cor) > str(Both) num [1:1858, 1:2] 3.36 NA NA NA NA NA NA 3.92 3.5 NA ... - attr(*,

Hi, We are working on a project on forecast modeling and would like to know if there are any examples on how to READ/WRITE to a database (e.g. PostgreSQL) using R-Project. I do have a sample R Script which takes input as files from a directory and writes back output files to a directory. I would like to convert this script to read from a database and write back the output to a database.

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)

I got the following: > library(foreign) > swal = read.spss("swallowing.sav", to.data.frame =TRUE) Warning message: In read.spss("swallowing.sav", to.data.frame = TRUE) : swallowing.sav: Unrecognized record type 7, subtype 21 encountered in system file > The bulk of the data seems to read in a usable form, but I'm curious about what might be getting lost

There are two ways to express file paths with the Windows environment: > a=file.choose() > a [1] "C:\\Documents and Settings\\rbaer\\Desktop\\_VNT_Test\\coordFocused 20k F5 0ng Ki8751 t20.txt" and >b= paste(getwd(),"/",dir()[1],sep="") >b [1] "C:/Documents and Settings/rbaer/Desktop/_VNT_Test/coordFocused 20k F5 0ng Ki8751 t20.txt" I have 2

Hello guys I am new to this list and for R too. I am wondering if there is a patch for the SPSS reading code on the foreign package, in order to be able to read long variable names. Right now read.spss() just trunc the names to 8 characters. Or if someone could help me on other way: I have to process everyday a lot of SPSS Syntax Files and Dat files that come from one system that can only export

Dear R-helpers, In my dataset I have two continuous variable (A and B) and one factor. I'm investigating the regression between the two variables usign the command lm(A ~ B, ...) but now I want to know the regression coefficient (r2) of A vs. B for every factors. I know that I can obtain this information with excel, but the factor have 68 levels...maybe [r] have a useful command. Thanks,

Friends I am new to R (and statistics) so am struggling a bit. Briefly... I am interested in getting the P-Value from cor(X) where X is a matrix. I have found cor.test. Verbosely... I have 4 vectors and can generate the corellation matrix... > cor(cbind(X1, X2, X3, X4)) X1 X2 X3 X4 X1 1.00000000 -0.06190365 -0.156972795 0.182547517 X2

Dear R maintainers, R is great. Now that I have that out of the way, I believe I have encountered a bug, or at least an inconsistency, in how Spearman and Kendall rank correlations are handled. Specifically, cor() and cor.test() do not produce the same answer when the data contain NAs. cor() treats the NAs as data, while cor.test() eliminates them. The option use="complete.obs" has