similar to: Unreadable labels

Hello R users, I have a substantial question about statistics, not about R itself, but I would love to have an answer from an R user, in form of an example in R syntax. I have spent whole Sunday searching in Google and browsing the books. I've been really close to the answer but there are at least three standard errors you can talk about in the linear regression and I'm really confused.

Hi all, I have a question about transforming the data from summary function. Let's say I have a data frame like this: > x = data.frame(a = c(rep("lev1", 5), rep("lev2", 5)), b = c(rnorm(5)+2, rnorm(5))) > x a b 1 lev1 1.5964765 2 lev1 2.2945609 3 lev1 3.5285787 4 lev1 1.4439838 5 lev1 2.2948826 6 lev2 1.7063506 7 lev2 -0.4042742 8 lev2

Hello, I'd like to create a model with a factor-type response variable. This is an example: > mydata <- data.frame(factor_var = as.factor(c(rep('one', 100), rep('two', 100), rep('three', 100))), real_var = c(rnorm(150), rnorm(150) + 5)) > summary(mydata) factor_var real_var one :100 Min. :-2.742877 three:100 1st Qu.:-0.009493 two

Hello all R-help list subscribers, I'd like to create a regression tree of a data set with binary response variable. Only 5% of observations are a success, so the regression tree will not find really any variable value combinations that will yield more than 50% of probability of success. I am however interested in areas where the probability of success is noticeably higher than 5%, for

Hello, I'm new to the list, hello everybody! :-) I have a question. I looked carefully through the documentation and googled, and found no answer, so I'm posting it here. Let's say I have a data frame with lots of columns (about 300), which are factors. Many columns-factors have only one level, for example all are "Yes" or all are "No". If I try to do a

Hello, While using the "plot" function against a model with a long formula, I get a garbled label in the bottom of the plot. It looks like there are two lines printed one over another, here's my example: http://pico.magnum2.pl/maciej/NodalInvolvement/MisclassificationRate?action=AttachFile&do=get&target=TwoFactorResiduals.png This was from using

I have been tinkering with mosaicplot() and friends as a way of learning R. As part of this, I've written a pair.table() method for mosaic matrices, and would like to extend mosaicplot to work with loglin and logln (MASS) objects. I'm using R 1.4.0 on Win 98. I've been trying to figure out the formula interface, and think there's a bug, but not sure how to find it, yet alone fix

Hi, Can someone set me straight as to how to write formulas in R to indicate: complete independence [A][B][C] joint independence [AB][C] conditional independence [AC][BC] nway interaction [AB][AC][BC] ? For example, if I have 4 factors: hair colour, eye colour, age, sex does > mosaicplot( frequency ~ hair + eye + age + sex) mean that the model fitted is of complete independence of

Hello. I've been using R for a couple of months and enjoying it a lot. This is my first post to R-help. I'm using the vcd package to make mosaic plots with labels on the tiles indicating the number of items in each cell. For example, I've made this plot: > allmorph<-structure(c(10, 26, 17, 100, 70, 97, 253, 430, 185, 177, > 25, 1), .Dim = as.integer(c(6, 2)), .Dimnames

I'm pretty sure that I did everything right, but my R is just not drawing the mosaicplot that I want, and there is also no error messege, looks like this right now: > mosaicplot(arthritis) > mosaicplot(~ sex + treatment + improved, data = arthritis, color = TRUE) > -- View this message in context: http://r.789695.n4.nabble.com/problems-with-mosaic-plot-tp3090128p3090128.html Sent

Hello Pardon for the elementary question, I did try searching the archives with various terms, but to no avail. I am using R1.9.1 on a windows machine One of the great advantages of R (to me, anyway) is being able to see the code for a function , e.g. by typing sd one sees the code for getting a standard deviation. However, for many functions this only provides info. including UseMethod, eg.

I tried this : > mosaicplot(stoc ~ q9r + segca,data=tmp2,color=T) : works fine. And now, this : > mosaicplot(stoc ~ q9r + segca, data=tmp2, color=T, main="Big title") Error in model.frame(formula, rownames, variables, varnames, extras, extranames, : invalid variable type I'm probably stupid and missed something simple in the manual (and wouldn't like to be

Two proposals for mosaicplot(): - The argument "sub" should not be ignored. Example: mosaicplot( HairEyeColor, sub = 'test of sub' ) - To be able to discern also longer axis labels the argument "las" or par(las=2) should not be ignored. Example: mosaicplot( HairEyeColor, las=2 ) Thanks Wolfram

This dataset below is one sample answer the questioner from our customer. > testbank <- read.table("testbank.txt", header=T) > testbank age married income gender ownhouse class 1 20-30 no high female yes 1st 2 30-40 no high female yes 1st 3 40-50 no low female yes 1st 4 50-60 no high female yes 1st 5 60-70

Full_Name: Greg Kochanski Version: 2.2.1 OS: Debian Linux (testing) Submission from: (NULL) (212.159.16.190) mosaicplot(x, shade=TRUE) is intended to color the blocks blue if they are more common than one might expect and red if they are rarer than one might expect. Unfortunately, if a block is much rarer than expected, it is so narrow that one cannot see the red. Thus, a casual inspection

Thank for your help I obtained profiles and I found mosaicplot as an interesting alternative. I don't like my solution about legend in profiles graphics: I inserted empty extra columns in order to avoid tue superimposed of legend. #Data N <- matrix(0,3,6) N[1,] <- c(7,7,5,0,4,4) N[2,] <- c(0,0,0,5,5,5) N[3,] <- c(4,4,0,0,3,0) rownames(N) <-

Feliz año a todos! Y al que sepa y tenga tiempo, una duda: Quiero hacer un análisis de distribución de léxico (supongo que da igual eso) mediante mosaicplot(), en particular me interesa que me muestre el peso de la distribución según una proporción que ya conseguí sacar; la de el uso de x termino en un espacio determinado. Ejemplo: Distribución de los términos, totales (tabla1) sitio1

I've just started learning R, so I'm still on the steep part of the learning curve, but my enthusiasm was heightened by learning that there's a very nice implementation of mosaicplot(). As a learning project, I've already done a basic implementation of a pairs.table() function which does a mosaic scatterplot matrix, and now I'm trying to do conditional mosaic plots (discrete

Hello. I am looking for a way to add table values (from a "table" object) into a mosaic plot of that table (which is produced by the "mosaicplot" command on the table object). The only reference I was successful in finding on the web was in a script here: http://tables2graphs.com/doku.php?id=03_descriptive_statistics#figure_2

Full_Name: Greg Kochanski Version: 2.2.1 OS: Debian Linux (testing) Submission from: (NULL) (212.159.16.190) This is really a feature request. When you do mosaicplot() on a data set where the probability of several nearby rows is small, then the labels for those rows are plotted overlapping each other. This situation can be improved by calling mosaicplot() with a large value of