search for: ucbadmissions

I apologize in advance if this is the wrong forum for this report/request, and for the fact that I have not read the code for ftable.formula in any detail. >From reading the documentation for ftable.formula, I expected that the following two calls to ftable would produce the same results: data(UCBAdmissions) ftable(UCBAdmissions, row.vars = "Dept", col.vars = c("Gender", "Admit")) ftable(UCBAdmissions, Gender + Admit ~ Dept) Is this a bug or the intended behavior? I prefer the formula interface, so I would be happiest if the output was the same for the two calls. Howeve...

...R method to produce latex versions of tables for table/array objects of 3 or more dimensions, which, of necessity is flattened to a 2D display, for example with ftable(), or vcd::structable, as shown below. I'd be happy to settle for a flexible solution for the 3D case. > UCB <- aperm(UCBAdmissions, c(2, 1, 3)) > ftable(UCB) Dept A B C D E F Gender Admit Male Admitted 512 353 120 138 53 22 Rejected 313 207 205 279 138 351 Female Admitted 89 17 202 131 94 24 Rejected 19 8 391 244 299 317 > structable(Dept ~ Adm...

Just a general question concerning the woolf test (package vcd), when we have stratified data (2x2 tables) and when the p.value of the woolf-test is below 0.05 then we assume that there is a heterogeneity and a common odds ratio cannot be computed? Does this mean that we have to try to add more stratification variables (stratify more) to make the woolf-test p.value insignificant? Also in the

Suppose I have a table constructed from structable or simply just an object of class table. How can I convert it to a latex object? I looked in RSiteSearch, but only found info about matrices or data frames. Steve For example, here is a table t2 > str(t2) table [1:2, 1:2, 1:2] 6 8 594 592 57 ... - attr(*, "dimnames")=List of 3 ..$ Hospital : chr [1:2] "A"

Dear List, I'm having problem with an exercise from The R book (M.J. Crawley) on page 567. Here is the entire code upto the point where I get an error. data(UCBAdmissions) x <- aperm(UCBAdmissions, c(2, 1, 3)) names(dimnames(x)) <- c("Sex", "Admit?", "Department") ftable(x) fourfoldplot(x, margin = 2) dept<-gl(6,4) sex<-gl(2,1,24) admit<-gl(2,2,24) model1<-glm(as.vector(x) ~dept*sex*admit,poisson) This last line retur...

> addmargins(UCBAdmissions, FUN = list(Total=sum)) works with no problems, but consider: > myFUN <- list(Total=sum) > addmargins(UCBAdmissions, FUN = myFUN) Error in "names<-.default"(`*tmp*`, value = "") : names() applied to a non-vector Is this a bug? > R.version...

Hello, I was using the mantelhaen.test function (2x2 J tables for conditional independence testing). I noticed that the option for the continuity correction (correction=T or correction=F) sometimes made a difference while sometimes it did give the same results regardless of correction=T or correction=F. Does the continuity correction apply only in certain cases or in certain strata with some

...equires some package writers to implement both .array and .table methods for the same functionality, usually one in terms of the other. Some examples of unexpected, and initially perplexing results (when only methods for one class are implemented) are shown below. > library(vcd) > pairs(UCBAdmissions, shade=TRUE) > UCB <- aperm(UCBAdmissions, c(2, 1, 3)) > > # UCB is now an array, not a table > pairs(UCB, shade=TRUE) There were 50 or more warnings (use warnings() to see the first 50) > > # fix it, to get pairs.table > class(UCB) <- "table" > pairs...

Hello, Currently it's possible to convert an object of class table to a data frame with as.data.frame.table(), but there's no ready-made function, AFAIK, to do the reverse operation, i.e. conversion of a data frame to a table. Do you think it would be a good idea to add a data.frame method to as.table(), to allow such conversions? The idea is that if `x' is a table and `y <-

...makes sense if I fit the model using as response a vector of proportions or a two-column matrix. But when the response is a factor and counts are specified via the "weights" argument, I am kind of lost as far as what is the implied saturated model. Here is a simple example, based on the UCBAdmissions data. > UCBAd <- as.data.frame(UCBAdmissions) > UCBAd <- glm(Admit ~ Gender + Dept, family = binomial, + weights = Freq, data = UCBAd) > UCBAd$deviance [1] 5187.488 > UCBAd$df.residual [1] 17 I can see that the data frame UCBAd has 24 rows and using 1+1+5...

I am fairly new to log-linear modelling, so as opposed to trying to fit modells, I am still trying to figure out how it actually works - hence I am looking at the interpretation of parameters. Now it seems most people skip this part and go directly to measuring model fit, so I am finding very few references to actual parameters, and am of course clear on the fact that their choice is irelevant for

..."table" can be used to convert the array-based representation of a contingency table to a data frame containing the classifying factors and the corresponding entries (the latter as component named by responseName). This is the inverse of xtabs." For example, from ?xtabs, using the ?UCBAdmissions dataset, which is a 3 dimension table: > str(UCBAdmissions) table [1:2, 1:2, 1:6] 512 313 89 19 353 207 17 8 120 205 ... - attr(*, "dimnames")=List of 3 ..$ Admit : chr [1:2] "Admitted" "Rejected" ..$ Gender: chr [1:2] "Male" "Female" .....

I need to change the font(s) used in mosaic from package vcd. The help file and the vignette do not give very explicit examples for doing that. The easiest solution would be changing the font for everything on the graph: var labels, var names, title, subtitle, and cell labels. What is the easiest way of accomplishing this?

Dear all, an hopefully quick table question. I have the following data: Two objects that are 2*9 matrix with nine column names (Dis1, ..., Dis9) and the row names (2010,2020). The content are frequencies (numeric). In want to create a table that is along the lines of ftable(UCBAdmissions) and should looks like this: Dis1 | ...| Dis9 2010|2020|....|2010|2020 (first row,first column is the value of Dis1 in 2010 from first object)| (first row,second column is the value of Dis1 in 2020 from first object)| .... (second row,first column is the value of Dis1 in 2010 from second object)| (...

Hi everyone, I am trying to build a table putting standard errors horizontally. I haven't been able to do it. library(memisc) berkeley <- aggregate(Table(Admit,Freq)~.,data=UCBAdmissions) berk0 <- glm(cbind(Admitted,Rejected)~1,data=berkeley,family="binomial") berk1 <- glm(cbind(Admitted,Rejected)~Gender,data=berkeley,family="binomial") berk2 <- glm(cbind(Admitted,Rejected)~Gender+Dept,data=berkeley,family="binomial") setCoefTemplate(est.s...

Hi everyone, I am trying to build a table putting standard errors horizontally. I haven't been able to do it. library(memisc) berkeley <- aggregate(Table(Admit,Freq)~.,data=UCBAdmissions) berk0 <- glm(cbind(Admitted,Rejected)~1,data=berkeley,family="binomial") berk1 <- glm(cbind(Admitted,Rejected)~Gender,data=berkeley,family="binomial") berk2 <- glm(cbind(Admitted,Rejected)~Gender+Dept,data=berkeley,family="binomial") setCoefTemplate(est.s...

Hi all, I want to know how to perform the test Breslow-Day test for homogeneity of odds ratios (OR) stratified for svytable. This test is obtained with the following code: epi.2by2 (dat = daty, method = "case.control" conf.level = 0.95, units = 100, homogeneity = "breslow.day", verbose = TRUE) where "daty" is the object type table svytable consider it, but

I am quite new to R, so please bear over with me if I have problems with the R terminology. I want to (try to) use R for some analyses within vegetation ecology, using the vegan package. I have my data in a postgresql database, and I manage to get them into R as a dataframe with columns for respectively: Name of the analysed m2, Name of the species, coverage of species in the square in %. I

I would like R to produce some tabulated data in a graphical output. When I say tabulated data, what I mean is a table with rows and columns. This would be useful when reading in a big file, performing some analysis on it, and then wanting to display the results as a table. Something like plot(x,...) where x is a matrix For example, the result could look (approximatly) like...

Hi, does anyone know of a function to calculate odds ratios in multiway tables (stratified) (+ the other usual statistics involved) i mean: say we have a table r*c*d, For every d (depth) we have a r*c table, and in this table the odds ratio's are calculated for every 2*2 subtable in it. logically this function would look like): ORs(multiwaytable) or ORs(data$var1r,data$var2c,data$var3d)