similar to: mc nemar test

Dear R useRs, Sorry for this foolish question, but I can't find how to escape the * character when using grep : > grep("-", c("/3", "2*3", "4-4")) [1] 3 > grep("/", c("/3", "2*3", "4-4")) [1] 1 > grep("*", c("/3", "2*3", "4-4")) Erreur dans grep("*",

Dear useRs, I'm trying to create a barplot like so: x=matrix(1:10,2,5) barplot(x,leg=c("left","right"),besid=T) The legend is placed in default position topright, however the data are plotted there too. I tried controlling the legend position by adding x="topleft" but this results in an error that x matches multiple formal arguments. Leaving out the legend

Hello useRs, I'm trying to use the Roxygen package. Here my code file : #' A packge to check Roxygen's sanity #' @name helloRoxygen-package #' @docType package NA And my R code to generate the package : library(roxygen) package.skeleton("helloRoxygen", code_files = "roxy.r", force = T) roxygenize("helloRoxygen", "helloRoxygen",

Hello all, I wish to perform a mcnemar test for a 3 by 3 matrix. By running the slandered R command I am getting a result but I am not sure I am getting the correct one. Here is an example code: (tt <- as.table(t(matrix(c(1,4,1 , 0,5,5, 3,1,5), ncol = 3)))) mcnemar.test(tt, correct=T) #And I get: McNemar's Chi-squared

Hello, I am hoping someone can clarify why I might obtain a quite different value in R & SPSS for a McNemar test I ran. Firstly, here is the R syntax & output R OUTPUT > mctest <- as.table(matrix(c(128,29,331,430), + ncol =2, dimnames = list(group=c("preMHT","postMHT"), + assault=c("yes","no")))) > mctest assault

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Does anyone know of another version of the Mcnemar test that provides: 1. Odds Ratios 2. 95% Confidence intervals of the Odds Ratios 3. Sample probability 4. 95% Confidence intervals of the sample probability Obviously the Odds Ratios and Sample probabilities are easy to calculate from the contingency table, but I would appreciate any help on how to calculate the confidence

Hi friends, I get different values for McNemar's test in R and SPSS. Which one should i rely on when the p values differ. I came across this problem when i started learning R and seriously give up on SPSS or any other proprietary software. Thank u in advance Output in SPSS follows *Crosstab* hsc Total ABN NE ABN tvs ABN Count 40 3 43 Row % 93.0% 7.0%

Hello all I wish to perform a mcnemar.test() for a 5X5 matrix. Wikipedia tells me (http://en.wikipedia.org/wiki/Cochran_test) I should turn to cochran.test. The only place I found it was in the "outliers" package, but the command cochran.test() acts differently then mcnemar.test() , and doesn't take a table as input. Any ideas on how to use it ? #Example code: aa =

Estimados Para analizar tres muestras cualitativas independientes se utiliza Cochran-Mantel-Haenszel test ?Cual script es el adecuado para analizar tres variables dependientes? en MCNEMAR solo se permite analizar dos variables cualitaticvas dependientes saludos José [[alternative HTML version deleted]]

Hello sir: How can I perform McNemar (paired chi square test) by using R? Thanks! ------------------------------ ******************************************* Xin Meng Capitalbio Corporation National Engineering Research Center for Beijing Biochip Technology BioPharma-informatics & Software Dept. Research Engineer Tel: +86-10-80715888/80726868-6438 Fax: +86-10-80726790 Email??xmeng

Hello, I think there is a bug in coord_equal when x s a factor : ggplot(diamonds, aes(clarity, fill=cut)) + geom_bar() ggplot(diamonds, aes(clarity, fill=cut)) + geom_bar() + coord_equal(1/2) David

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I have two lists (and possibly more): col.prop <- structure(list(B = structure(c(0.5, 0.5, 0.6, 0.4, 0.555555555555556, 0.444444444444444), class = c("cast_matrix", "matrix"), .Dim = 2:3, .Dimnames = list( NULL, NULL)), D = structure(c(1, 0, 0.666666666666667, 0.333333333333333, 0.8, 0.2), class = c("cast_matrix", "matrix"), .Dim = 2:3, .Dimnames =

Dear list, I have data like this: dat1 <- data.frame(subject=rep(1:10,2), cond1=rep(c("A","B"),each=5), cond2=rep(c("C","D"),each=10), choice=sample(0:1,10,replace=TRUE)) I would like to compare subjects' "choice" for (cond1=="A" & cond2=="C") vs

Hello R users (and Hadley) I have another question about ggplot2 :-) (version 0.8) `dat` <- structure(list(D = c("a", "b", "c", "d"), G = c(1.51520888871520, 1.88812208268440, -6.60521862, 0.55968739), E = c(1.38888592256404, 1.39366168665589, 1.22509259382058, 1.36617701059296), I = c(6.92634958902857, 6.94416045215158, 13.2179488828556,

I am working with the mcnemar.test function and the help does not show a maintainer/author, but it is part of the stats package. My issue is that I want to use the test on 2 variables with possible values of 0:3, in one of the tests one of the variables does not have any 3's, so to make sure that the matrix is square I do: > x <- factor(x, levels=0:3) > y <- factor(y, levels=0:3)

Hello Everyone, My name is Thomas and I have been using R for one week. I recently found your site and have been able to search the archives of posts. This has given me some great information that has allowed me to craft an initial design to an inquiry I would like to make into the breakdown of McNemar's test. I have read an intro to R manual and the posting guides and hope I am not violating